Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-07-27 00:33 UTC

assafelovic / gpt-researcher

An autonomous agent that conducts deep research on any data using any LLM providers

Python · TypeScriptApache-2.0★ 28,654 stars⑂ 3,866 forkssince May 2023View on GitHub ↗

#ai #python #agent #automation #research #search #webscraping #llms #deepresearch #mcp #mcp-server

assafelovic/gpt-researcher holds a health index of 81 out of 100, placing it in the Good band. It scores highest on Vitality (93/100) and lowest on Sustainability & Governance (67/100). It was last updated 8 days ago. A single contributor accounts for most of its recent work.

overall / 100

Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

Excellent85-100Exemplary; meets essentially all checked criteria

Good70-84Healthy; minor gaps

Moderate50-69Acceptable with notable gaps; review recommended

At risk30-49Significant weaknesses; adoption warrants caution

Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

Ownership

Assaf ElovicPersonal account

1,219 followers23 public repossince Jul 2015Tavily.com

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish
PyPI	gpt-researcher	0.16.0	86,471	110	8 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

93Excellent · 22% of overall

Development activity

89Excellent

How it's scored

28.8/36	Push recency — last push 8 days ago
31.8/36	Commit cadence — 46/52 weeks with commits
18/18	Commit volume — 372 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	372
human_commit_share	1
days_since_last_push	8
active_weeks_last_year	46

Release discipline

100Excellent

How it's scored

27/27	Ships releases — 72 releases published
36/36	Release recency — latest release 8 days ago
27/27	Release cadence — a release every ~24 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	72
latest_release_tag	v3.6.0
releases_from_tags	no
days_since_latest_release	8
mean_days_between_releases	24

Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

89Excellent · 18% of overall

Popularity & adoption

97Excellent

How it's scored

60/60	Stars — 28,654 stars
25/25	Forks — 3,866 forks
12.4/15	Watchers — 168 watchers

Inputs used

forks	3,866
stars	28,654
watchers	168
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

85Excellent

How it's scored

22.5/22.5	README
22.5/22.5	License — recognized license (Apache-2.0)
18/18	CONTRIBUTING guide
13.5/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
has_pull_request_template	no

Ecosystem adoption (downloads)

82Good

How it's scored

65.8/80	Monthly downloads — 86,471 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	gpt-researcher
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	86,471

Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

67Moderate · 24% of overall

Maintainer resilience (bus factor)

43At risk

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
10.5/22.5	Commit distribution — top contributor authored 53% of commits
13.5/13.5	Contributor breadth — 98 contributors
10/10	OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	98
top_contributor_share	0.534

Issue & PR responsiveness

68Moderate

How it's scored

43.9/46.8	Issue resolution — 94% of issues closed
22.7/38.3	PR acceptance — 571/961 decided PRs merged
1.5/15	OpenSSF Scorecard: Code-Review — Found 1/9 approved changesets -- score normalized to 1

Inputs used

merged_prs	571
open_issues	44
closed_issues	677
issue_closed_ratio	0.939
closed_unmerged_prs	390

Ownership & stewardship

68Moderate

How it's scored

10/30	Ownership backing — personal (user) account
0/20	Verified domain — not applicable to user accounts
22.2/25	Owner reach — 1,219 followers of assafelovic
22.1/25	Track record — 23 public repos, account ~11 yr old

Inputs used

followers	1,219
owner_type	User
is_verified	—
owner_login	assafelovic
public_repos	23
account_age_days	4,015

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Excellent

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 8 days ago
20/20	Version history — 110 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	gpt-researcher
ecosystems	pypi
any_deprecated	no
min_days_since_publish	8

Engineering Quality

Are baseline engineering and documentation practices in place?

84Good · 20% of overall

Engineering practices

80Good

How it's scored

24/24	CI workflows — 5 workflow(s)
24/24	Tests present
16/16	Linter config — .eslintrc.json
0/9.6	Pre-commit hooks
0/6.4	.editorconfig
16/20	OpenSSF Scorecard: CI-Tests — 8 out of 9 merged PRs checked by a CI test -- score normalized to 8

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	no

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://gptr.dev
10/10	Repository description
10/10	Topics — 11 topics
0/10	Wiki

Inputs used

topics	ai, python, agent, automation, research, search, webscraping, llms, deepresearch, mcp, mcp-server
has_wiki	no
homepage	https://gptr.dev
has_readme	yes
has_docs_dir	yes
has_description	yes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

70Good · 16% of overall

Security posture

62Moderate

How it's scored

7.5/7.5	Binary-Artifacts — no binaries found in the repo
0/7.5	Branch-Protection — no data
2/2.5	CI-Tests — 8 out of 9 merged PRs checked by a CI test -- score normalized to 8
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5	Code-Review — Found 1/9 approved changesets -- score normalized to 1
2.5/2.5	Contributors — project has 13 contributing companies or organizations
10/10	Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5	Dependency-Update-Tool — update tool detected
0/5	Fuzzing — project is not fuzzed
2.5/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
0/5	Packaging — no data
0/5	Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
5/5	Security-Policy — security policy file detected
0/7.5	Signed-Releases — no data
0/7.5	Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5	Vulnerabilities — 0 existing vulnerabilities detected

Inputs used

source	openssf_scorecard
checks_evaluated	15
scorecard_version	v5.5.0
checks_inconclusive	3
scorecard_aggregate	6.2

Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.

Dependency advisories

100Excellent

How it's scored

35/35	Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25	Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40	No advisories left outstanding — no advisory carries a publication date

Inputs used

source	osv
advisories	0
affected_packages	0
assessed_packages	159
unassessed_packages	0
affected_by_severity	none
direct_affected_packages	0

Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:gpt-researcher@0.16.0 runtime dependency closure — what installing the published package pulls in — 159 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score.

80Good · 0% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — .cursorrules
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 95 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
legible_history_share	0.95
agent_instruction_files	.cursorrules
agent_instruction_max_bytes	5,937

Verify loop (build / test / typecheck)

69Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config — .eslintrc.json
11/11	Static type checking — frontend/nextjs/tsconfig.json
10/10	Reproducible environment — Dockerfile
10/10	Demonstrated agent practice — 13 of the last 100 commits agent-authored or agent-credited
5/8	Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10	OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0

Inputs used

has_nix	no
has_tests	yes
lockfiles	—
has_dockerfile	yes
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	frontend/nextjs/tsconfig.json
agent_commit_share	0.13
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

82Good

How it's scored

27/45	Type-checkable code — Python with type-check config (frontend/nextjs/tsconfig.json)
54.9/55	Manageable file sizes — 1/367 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	84,260
source_files_sampled	367
oversized_source_files	1

Machine-readable interfaces

100Excellent

How it's scored

40/40	API schema (OpenAPI/GraphQL/proto) — .triage/engagement.graphql
20/20	MCP server
40/40	Runnable examples — examples, notebooks

Inputs used

example_dirs	examples, notebooks
has_mcp_signal	yes
api_schema_files	.triage/engagement.graphql

Key facts

28,654GitHub stars

98contributors

372commits, last 12 months

8days since last push

72releases

1bus factor

44open issues

npm, PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Could not fetch npm package 'simple_js_test' from its registry

More detail

Star and fork history 0 ★ / 3,866 ⇿

0Stars

3,866Forks

14Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Major 0Minor 3Patch 6

OpenSSF Scorecard 6.2 / 10

6.2aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-07-27 00:32 UTC

10	Binary-Artifacts	no binaries found in the repo
n/a	Branch-Protection	internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
8	CI-Tests	8 out of 9 merged PRs checked by a CI test -- score normalized to 8
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
1	Code-Review	Found 1/9 approved changesets -- score normalized to 1
10	Contributors	project has 13 contributing companies or organizations
10	Dangerous-Workflow	no dangerous workflow patterns detected
10	Dependency-Update-Tool	update tool detected
0	Fuzzing	project is not fuzzed
10	License	license file detected
10	Maintained	30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10
n/a	Packaging	packaging workflow not detected
0	Pinned-Dependencies	dependency not pinned by hash detected -- score normalized to 0
0	SAST	SAST tool is not run on all commits -- score normalized to 0
10	Security-Policy	security policy file detected
n/a	Signed-Releases	no releases found
0	Token-Permissions	detected GitHub workflow tokens with excessive permissions
10	Vulnerabilities	0 existing vulnerabilities detected

Direct dependencies 141

Registry	Package	Version constraint	Manifest
npm	@langchain/langgraph-sdk	`^0.0.1-rc.13`	multi_agents/package.json
PyPI	aiofiles	`>=23.2.1`	pyproject.toml
PyPI	aiohappyeyeballs	`>=2.6.1`	pyproject.toml
PyPI	aiohttp	`>=3.12.0`	pyproject.toml
PyPI	aiosignal	`>=1.3.2`	pyproject.toml
PyPI	annotated-types	`>=0.7.0`	pyproject.toml
PyPI	anyio	`>=4.9.0`	pyproject.toml
PyPI	arxiv	`>=2.0.0`	pyproject.toml
PyPI	attrs	`>=25.3.0`	pyproject.toml
PyPI	backoff	`>=2.2.1`	pyproject.toml
PyPI	beautifulsoup4	`>=4.12.2`	pyproject.toml
PyPI	brotli	`>=1.2.0`	pyproject.toml
PyPI	certifi	`>=2025.4.26`	pyproject.toml
PyPI	cffi	`>=1.17.1`	pyproject.toml
PyPI	chardet	`>=5.2.0`	pyproject.toml
PyPI	charset-normalizer	`>=3.4.2`	pyproject.toml
PyPI	click	`>=8.1.0`	pyproject.toml
PyPI	colorama	`>=0.4.6`	pyproject.toml
PyPI	cryptography	`>=45.0.2`	pyproject.toml
PyPI	cssselect2	`>=0.8.0`	pyproject.toml
PyPI	dataclasses-json	`>=0.6.7`	pyproject.toml
PyPI	distro	`>=1.9.0`	pyproject.toml
PyPI	docopt	`>=0.6.2`	pyproject.toml
PyPI	duckduckgo-search	`>=4.1.1`	pyproject.toml
PyPI	emoji	`>=2.14.1`	pyproject.toml
PyPI	fastapi	`>=0.104.1`	pyproject.toml
PyPI	feedparser	`>=6.0.11`	pyproject.toml
PyPI	filelock	`>=3.18.0`	pyproject.toml
PyPI	filetype	`>=1.2.0`	pyproject.toml
PyPI	fonttools	`>=4.58.0`	pyproject.toml
PyPI	frozenlist	`>=1.6.0`	pyproject.toml
PyPI	fsspec	`>=2025.5.1`	pyproject.toml
PyPI	greenlet	`>=3.2.2`	pyproject.toml
PyPI	h11	`>=0.16.0`	pyproject.toml
PyPI	html5lib	`>=1.1`	pyproject.toml
PyPI	htmldocx	`>=0.0.6`	pyproject.toml
PyPI	httpcore	`>=1.0.9`	pyproject.toml
PyPI	httpx	`>=0.28.1`	pyproject.toml
PyPI	httpx-aiohttp	`>=0.1.4`	pyproject.toml
PyPI	httpx-sse	`>=0.4.0`	pyproject.toml
PyPI	huggingface-hub	`>=0.32.0`	pyproject.toml
PyPI	idna	`>=3.10`	pyproject.toml
PyPI	importlib-metadata	`>=8.7.0`	pyproject.toml
PyPI	jinja2	`>=3.1.6`	pyproject.toml
PyPI	jiter	`>=0.10.0`	pyproject.toml
PyPI	joblib	`>=1.5.1`	pyproject.toml
PyPI	json-repair	`>=0.44.0`	pyproject.toml
PyPI	json5	`>=0.12.0`	pyproject.toml
PyPI	jsonpatch	`>=1.33`	pyproject.toml
PyPI	jsonpointer	`>=3.0.0`	pyproject.toml
PyPI	jsonschema	`>=4.23.0`	pyproject.toml
PyPI	jsonschema-specifications	`>=2025.4.1`	pyproject.toml
PyPI	kiwisolver	`>=1.4.5`	pyproject.toml
PyPI	langchain	`>=1.0.0`	pyproject.toml
PyPI	langchain-classic	`>=1.0.0`	pyproject.toml
PyPI	langchain-community	`>=0.4.0`	pyproject.toml
PyPI	langchain-core	`>=1.0.0`	pyproject.toml
PyPI	langchain-ollama	`>=1.0.0`	pyproject.toml
PyPI	langchain-openai	`>=1.0.0`	pyproject.toml
PyPI	langchain-text-splitters	`>=1.0.0`	pyproject.toml
PyPI	langdetect	`>=1.0.9`	pyproject.toml
PyPI	langgraph	`>=0.2.76`	pyproject.toml
PyPI	langgraph-checkpoint	`>=2.0.26`	pyproject.toml
PyPI	langgraph-cli	`>=0.2.10`	pyproject.toml
PyPI	langgraph-sdk	`>=0.1.70`	pyproject.toml
PyPI	langsmith	`>=0.3.42`	pyproject.toml
PyPI	litellm	`>=1.71.0`	pyproject.toml
PyPI	loguru	`>=0.7.3`	pyproject.toml
PyPI	lxml	`>=5.4.0`	pyproject.toml
PyPI	markdown	`>=3.8`	pyproject.toml
PyPI	markdown2	`>=2.5.3`	pyproject.toml
PyPI	markupsafe	`>=3.0.2`	pyproject.toml
PyPI	marshmallow	`>=3.26.1`	pyproject.toml
PyPI	mcp	`>=1.9.1`	pyproject.toml
PyPI	md2pdf	`>=1.0.1`	pyproject.toml
PyPI	mistune	`>=3.1.3`	pyproject.toml
PyPI	multidict	`>=6.4.4`	pyproject.toml
PyPI	mypy-extensions	`>=1.1.0`	pyproject.toml
PyPI	nest-asyncio	`>=1.6.0`	pyproject.toml
PyPI	nltk	`>=3.9.1`	pyproject.toml
PyPI	numpy	`>=2.0.0,<2.3.0`	pyproject.toml
PyPI	olefile	`>=0.47`	pyproject.toml
PyPI	ollama	`>=0.4.8`	pyproject.toml
PyPI	openai	`>=1.82.0`	pyproject.toml
PyPI	orjson	`>=3.10.18`	pyproject.toml
PyPI	ormsgpack	`>=1.10.0`	pyproject.toml
PyPI	packaging	`>=24.2`	pyproject.toml
PyPI	pillow	`>=11.2.1`	pyproject.toml
PyPI	primp	`>=0.15.0`	pyproject.toml
PyPI	propcache	`>=0.3.1`	pyproject.toml
PyPI	psutil	`>=6.0.0`	pyproject.toml
PyPI	pycparser	`>=2.22`	pyproject.toml
PyPI	pydantic	`>=2.11.5`	pyproject.toml
PyPI	pydantic-core	`>=2.33.2`	pyproject.toml
PyPI	pydantic-settings	`>=2.9.1`	pyproject.toml
PyPI	pydyf	`>=0.11.0`	pyproject.toml
PyPI	pymupdf	`>=1.26.0`	pyproject.toml
PyPI	pypdf	`>=5.5.0`	pyproject.toml
PyPI	pyphen	`>=0.17.2`	pyproject.toml
PyPI	python-docx	`>=1.1.2`	pyproject.toml
PyPI	python-dotenv	`>=1.1.0`	pyproject.toml
PyPI	python-iso639	`>=2025.2.18`	pyproject.toml
PyPI	python-magic	`>=0.4.27`	pyproject.toml
PyPI	python-multipart	`>=0.0.20`	pyproject.toml
PyPI	python-oxmsg	`>=0.0.2`	pyproject.toml
PyPI	pyyaml	`>=6.0.2`	pyproject.toml
PyPI	rapidfuzz	`>=3.13.0`	pyproject.toml
PyPI	referencing	`>=0.36.2`	pyproject.toml
PyPI	regex	`>=2024.11.6`	pyproject.toml
PyPI	requests	`>=2.32.3`	pyproject.toml
PyPI	requests-toolbelt	`>=1.0.0`	pyproject.toml
PyPI	rpds-py	`>=0.25.1`	pyproject.toml
PyPI	sgmllib3k	`>=1.0.0`	pyproject.toml
PyPI	six	`>=1.17.0`	pyproject.toml
PyPI	sniffio	`>=1.3.1`	pyproject.toml
PyPI	soupsieve	`>=2.7`	pyproject.toml
PyPI	sqlalchemy	`>=2.0.41`	pyproject.toml
PyPI	sse-starlette	`>=2.3.5`	pyproject.toml
PyPI	starlette	`>=0.46.2`	pyproject.toml
PyPI	tenacity	`>=9.1.2`	pyproject.toml
PyPI	tiktoken	`>=0.9.0`	pyproject.toml
PyPI	tinycss2	`>=1.4.0`	pyproject.toml
PyPI	tinyhtml5	`>=2.0.0`	pyproject.toml
PyPI	tokenizers	`>=0.21.1`	pyproject.toml
PyPI	tqdm	`>=4.67.1`	pyproject.toml
PyPI	typing-extensions	`>=4.13.2`	pyproject.toml
PyPI	typing-inspect	`>=0.9.0`	pyproject.toml
PyPI	typing-inspection	`>=0.4.1`	pyproject.toml
PyPI	unstructured	`>=0.17.2`	pyproject.toml
PyPI	unstructured-client	`>=0.35.0`	pyproject.toml
PyPI	urllib3	`>=2.4.0`	pyproject.toml
PyPI	uvicorn	`>=0.34.2`	pyproject.toml
PyPI	weasyprint	`>=65.1`	pyproject.toml
PyPI	webencodings	`>=0.5.1`	pyproject.toml
PyPI	websockets	`>=15.0.1`	pyproject.toml
PyPI	win32-setctime	`>=1.2.0`	pyproject.toml
PyPI	wrapt	`>=1.17.2`	pyproject.toml
PyPI	yarl	`>=1.20.0`	pyproject.toml
PyPI	zipp	`>=3.21.0`	pyproject.toml
PyPI	zopfli	`>=0.2.3.post1`	pyproject.toml
PyPI	zstandard	`>=0.23.0`	pyproject.toml

All dependencies 236

Full resolved dependency set from the GitHub dependency graph: 142 direct and 94 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
npm	@langchain/langgraph-sdk	`^0.0.1-rc.12`	direct
npm	@langchain/langgraph-sdk	`^0.0.1-rc.13`	direct
PyPI	aiofiles	`—`	direct
PyPI	aiohappyeyeballs	`—`	direct
PyPI	aiohttp	`—`	direct
PyPI	aiosignal	`—`	direct
PyPI	annotated-types	`—`	direct
PyPI	anyio	`—`	direct
PyPI	arxiv	`—`	direct
PyPI	attrs	`—`	direct
PyPI	backoff	`—`	direct
PyPI	beautifulsoup4	`—`	direct
PyPI	brotli	`—`	direct
PyPI	certifi	`—`	direct
PyPI	cffi	`—`	direct
PyPI	chardet	`—`	direct
PyPI	charset-normalizer	`—`	direct
PyPI	click	`—`	direct
PyPI	colorama	`—`	direct
PyPI	cryptography	`—`	direct
PyPI	cssselect2	`—`	direct
PyPI	dataclasses-json	`—`	direct
PyPI	distro	`—`	direct
PyPI	docopt	`—`	direct
PyPI	duckduckgo-search	`—`	direct
PyPI	emoji	`—`	direct
PyPI	fastapi	`—`	direct
PyPI	feedparser	`—`	direct
PyPI	filelock	`—`	direct
PyPI	filetype	`—`	direct
PyPI	fonttools	`—`	direct
PyPI	frozenlist	`—`	direct
PyPI	fsspec	`—`	direct
PyPI	greenlet	`—`	direct
PyPI	h11	`—`	direct
PyPI	html5lib	`—`	direct
PyPI	htmldocx	`—`	direct
PyPI	httpcore	`—`	direct
PyPI	httpx	`—`	direct
PyPI	httpx-aiohttp	`—`	direct
PyPI	httpx-sse	`—`	direct
PyPI	huggingface-hub	`—`	direct
PyPI	idna	`—`	direct
PyPI	importlib-metadata	`—`	direct
PyPI	jinja2	`—`	direct
PyPI	jiter	`—`	direct
PyPI	joblib	`—`	direct
PyPI	json-repair	`—`	direct
PyPI	json5	`—`	direct
PyPI	jsonpatch	`—`	direct
PyPI	jsonpointer	`—`	direct
PyPI	jsonschema	`—`	direct
PyPI	jsonschema-specifications	`—`	direct
PyPI	kiwisolver	`—`	direct
PyPI	langchain	`—`	direct
PyPI	langchain-classic	`—`	direct
PyPI	langchain-community	`—`	direct
PyPI	langchain-core	`—`	direct
PyPI	langchain-ollama	`—`	direct
PyPI	langchain-openai	`—`	direct
PyPI	langchain-text-splitters	`—`	direct
PyPI	langdetect	`—`	direct
PyPI	langgraph	`—`	direct
PyPI	langgraph-checkpoint	`—`	direct
PyPI	langgraph-cli	`—`	direct
PyPI	langgraph-sdk	`—`	direct
PyPI	langsmith	`—`	direct
PyPI	litellm	`—`	direct
PyPI	loguru	`—`	direct
PyPI	lxml	`—`	direct
PyPI	markdown	`—`	direct
PyPI	markdown2	`—`	direct
PyPI	markupsafe	`—`	direct
PyPI	marshmallow	`—`	direct
PyPI	mcp	`—`	direct
PyPI	md2pdf	`—`	direct
PyPI	mistune	`—`	direct
PyPI	multidict	`—`	direct
PyPI	mypy-extensions	`—`	direct
PyPI	nest-asyncio	`—`	direct
PyPI	nltk	`—`	direct
PyPI	numpy	`—`	direct
PyPI	olefile	`—`	direct
PyPI	ollama	`—`	direct
PyPI	openai	`—`	direct
PyPI	orjson	`—`	direct
PyPI	ormsgpack	`—`	direct
PyPI	packaging	`—`	direct
PyPI	pillow	`—`	direct
PyPI	primp	`—`	direct
PyPI	propcache	`—`	direct
PyPI	psutil	`—`	direct
PyPI	pycparser	`—`	direct
PyPI	pydantic	`—`	direct
PyPI	pydantic-core	`—`	direct
PyPI	pydantic-settings	`—`	direct
PyPI	pydyf	`—`	direct
PyPI	pymupdf	`—`	direct
PyPI	pypdf	`—`	direct
PyPI	pyphen	`—`	direct
PyPI	python-docx	`—`	direct
PyPI	python-dotenv	`—`	direct
PyPI	python-iso639	`—`	direct
PyPI	python-magic	`—`	direct
PyPI	python-multipart	`—`	direct
PyPI	python-oxmsg	`—`	direct
PyPI	pyyaml	`—`	direct
PyPI	rapidfuzz	`—`	direct
PyPI	referencing	`—`	direct
PyPI	regex	`—`	direct
PyPI	requests	`—`	direct
PyPI	requests-toolbelt	`—`	direct
PyPI	rpds-py	`—`	direct
PyPI	sgmllib3k	`—`	direct
PyPI	six	`—`	direct
PyPI	sniffio	`—`	direct
PyPI	soupsieve	`—`	direct
PyPI	sqlalchemy	`—`	direct
PyPI	sse-starlette	`—`	direct
PyPI	starlette	`—`	direct
PyPI	tenacity	`—`	direct
PyPI	tiktoken	`—`	direct
PyPI	tinycss2	`—`	direct
PyPI	tinyhtml5	`—`	direct
PyPI	tokenizers	`—`	direct
PyPI	tqdm	`—`	direct
PyPI	typing-extensions	`—`	direct
PyPI	typing-inspect	`—`	direct
PyPI	typing-inspection	`—`	direct
PyPI	unstructured	`—`	direct
PyPI	unstructured-client	`—`	direct
PyPI	urllib3	`—`	direct
PyPI	uvicorn	`—`	direct
PyPI	weasyprint	`—`	direct
PyPI	webencodings	`—`	direct
PyPI	websockets	`—`	direct
PyPI	win32-setctime	`—`	direct
PyPI	wrapt	`—`	direct
PyPI	yarl	`—`	direct
PyPI	zipp	`—`	direct
PyPI	zopfli	`—`	direct
PyPI	zstandard	`—`	direct
npm	@babel/core	`^7.26.9`	indirect
npm	@babel/plugin-syntax-flow	`^7.26.0`	indirect
npm	@babel/plugin-transform-typescript	`^7.26.8`	indirect
npm	@babel/preset-env	`^7.26.9`	indirect
npm	@babel/preset-react	`^7.26.3`	indirect
npm	@babel/preset-typescript	`^7.26.0`	indirect
npm	@docusaurus/core	`3.7.0`	indirect
npm	@docusaurus/preset-classic	`3.7.0`	indirect
npm	@docusaurus/theme-mermaid	`3.7.0`	indirect
npm	@ducanh2912/next-pwa	`^10.0.1`	indirect
npm	@easyops-cn/docusaurus-search-local	`^0.49.2`	indirect
npm	@emotion/react	`^11.10.5`	indirect
npm	@emotion/styled	`^11.10.5`	indirect
npm	@mdx-js/react	`^3.1.0`	indirect
npm	@mozilla/readability	`^0.5.0`	indirect
npm	@next/third-parties	`^15.1.6`	indirect
npm	@rollup/plugin-alias	`^5.1.1`	indirect
npm	@rollup/plugin-babel	`^6.0.4`	indirect
npm	@rollup/plugin-commonjs	`^28.0.2`	indirect
npm	@rollup/plugin-json	`^6.1.0`	indirect
npm	@rollup/plugin-node-resolve	`^16.0.0`	indirect
npm	@rollup/plugin-replace	`^6.0.2`	indirect
npm	@rollup/plugin-typescript	`^12.1.2`	indirect
npm	@svgr/webpack	`^8.1.0`	indirect
npm	@tailwindcss/typography	`^0.5.16`	indirect
npm	@types/jsdom	`^21.1.6`	indirect
npm	@types/node	`^20`	indirect
npm	@types/react	`^18`	indirect
npm	@types/react-dom	`^18`	indirect
npm	@types/uuid	`^10.0.0`	indirect
npm	autoprefixer	`^10.4.20`	indirect
npm	axios	`^1.3.2`	indirect
npm	clsx	`^1.1.1`	indirect
npm	date-fns	`^4.1.0`	indirect
npm	discord.js	`^14.16.1`	indirect
npm	dotenv	`^16.4.5`	indirect
npm	eslint	`^8`	indirect
npm	eslint-config-next	`14.2.3`	indirect
npm	eventsource-parser	`^1.1.2`	indirect
npm	express	`^4.17.1`	indirect
npm	file-loader	`^6.2.0`	indirect
npm	framer-motion	`^9.0.2`	indirect
npm	geist	`^1.3.1`	indirect
npm	hast-util-is-element	`1.1.0`	indirect
npm	isomorphic-dompurify	`^3.0.0`	indirect
npm	jsonrepair	`^3.8.0`	indirect
npm	minimatch	`3.0.5`	indirect
npm	next	`^14.2.28`	indirect
npm	next-plausible	`^3.12.0`	indirect
npm	nodemon	`^3.1.4`	indirect
npm	postcss	`^8`	indirect
npm	prettier	`^3.2.5`	indirect
npm	prettier-plugin-tailwindcss	`^0.6.0`	indirect
npm	react	`^18.0.0`	indirect
npm	react	`^18.0.1`	indirect
npm	react-dom	`^18.0.0`	indirect
npm	react-dom	`^18.0.1`	indirect
npm	react-dropzone	`^14.2.3`	indirect
npm	react-ga4	`^2.1.0`	indirect
npm	react-hot-toast	`^2.4.1`	indirect
npm	rehype-katex	`7`	indirect
npm	rehype-prism-plus	`^2.0.0`	indirect
npm	remark	`^15.0.1`	indirect
npm	remark-gfm	`^4.0.1`	indirect
npm	remark-html	`^16.0.1`	indirect
npm	remark-math	`6`	indirect
npm	remark-parse	`^11.0.0`	indirect
npm	rollup	`^2.79.2`	indirect
npm	rollup-plugin-peer-deps-external	`^2.2.4`	indirect
npm	rollup-plugin-postcss	`^4.0.2`	indirect
npm	rollup-plugin-terser	`^7.0.2`	indirect
npm	rollup-plugin-typescript2	`^0.31.2`	indirect
npm	tailwindcss	`^3.4.1`	indirect
npm	trim	`^0.0.3`	indirect
npm	typescript	`^5`	indirect
npm	url-loader	`^4.1.1`	indirect
npm	ws	`^8.18.0`	indirect
npm	zod	`^3.0.0`	indirect
npm	zod-to-json-schema	`^3.23.0`	indirect
PyPI	ag2	`—`	indirect
PyPI	ddgs	`—`	indirect
PyPI	deepagents	`—`	indirect
PyPI	google-genai	`—`	indirect
PyPI	judges	`—`	indirect
PyPI	langchain-mcp-adapters	`—`	indirect
PyPI	pandas	`—`	indirect
PyPI	python-3-11	`—`	indirect
PyPI	python-pptx	`—`	indirect
PyPI	tavily-python	`—`	indirect
PyPI	types-aiofiles	`—`	indirect
PyPI	types-beautifulsoup4	`—`	indirect
PyPI	types-colorama	`—`	indirect
PyPI	types-markdown	`—`	indirect
PyPI	types-requests	`—`	indirect

Dependency advisories 0

Installing pypi:gpt-researcher@0.16.0 pulls in 159 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

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      "size_kb": 44783,
      "has_wiki": false,
      "homepage": "https://gptr.dev",
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      },
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      "type": "User",
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        {
          "oid": "5d84d2f5553e70a2765a8ff3a0d2672d60437ce8",
          "body": "docs(skill): fix drift in .claude reference docs (retrievers, multi-agents, api)",
          "is_bot": false,
          "headline": "Merge pull request #1913 from assafelovic/docs/skill-reference-refresh",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T13:13:33Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ec3cdb0e3e0dbc997ee160c5fa095db3ad788034",
          "body": "Audited the Claude skill references against current code and fixed verified\ndrift (skill itself + other references were accurate):\n\n- retrievers.md: list all 21 retrievers (was 13) incl. Brave/SearX/GroundRoute/\n  fastCRW/BoCha/Xquik/OpenAlex/GetXAPI; fix get_retrievers() signature to the\n  real (he\n[…]\nsts\n  (no top-level 'costs'); DELETE /files/{filename} (not /delete/); add GET /files/;\n  remove non-existent /getConfig & /setConfig endpoints\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs(skill): fix drift in .claude reference docs",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T13:13:13Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "48e5f7b160a934aa18e6dd2876461f388a6a26a2",
          "body": "…agents\n\nchore(multi_agents): nest AG2 variant under multi_agents/ag2",
          "is_bot": false,
          "headline": "Merge pull request #1912 from assafelovic/chore/nest-ag2-under-multi-…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T13:02:13Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8d57e6908a0cb3490796a91ee8e6b9f0be39aed0",
          "body": "Move the standalone multi_agents_ag2/ directory to multi_agents/ag2/ so the\nAG2 (AutoGen) variant lives under the multi_agents package instead of a\nseparate top-level directory. The AG2 code already depended on multi_agents\n(reusing its agents + utils), so this reflects the real relationship.\n\nUpdat\n[…]\nplus doc/README paths.\nHistory preserved via git mv; primary multi_agents package and the runner\nfallback both verified importable, tests pass.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(multi_agents): nest AG2 variant under multi_agents/ag2",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T13:00:53Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ab79fcd6ad5004cd808f3833843e1b1cc2c10651",
          "body": "…ider\n\nfeat: add Nebius Token Factory as LLM and embedding provider",
          "is_bot": false,
          "headline": "Merge pull request #1891 from teionarr/feat/nebius-token-factory-prov…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T12:44:40Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c68c773326c0883a8a7c5e49f2a997b4e9a00b9c",
          "body": "Reconcile master→main: GetXAPI retriever, Claude 4.x temp fix, MiniMax M3, curate_sources fixes",
          "is_bot": false,
          "headline": "Merge pull request #1911 from assafelovic/reconcile-master",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T12:42:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b1142323feaf880042eec3caf1b945315f583d80",
          "body": "Core/misc hardening: 11 fixes (costs/query/llm/agent/mcp/config) (supersedes #1822…#1902)",
          "is_bot": false,
          "headline": "Merge pull request #1910 from assafelovic/batch-core-misc",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T12:42:05Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "130d255a6733aeb0ece1a0c7aa87492a04940d82",
          "body": "Multi-agent robustness: bound revision loops + exact sentinels (supersedes #1883/#1885/#1886)",
          "is_bot": false,
          "headline": "Merge pull request #1909 from assafelovic/batch-multiagents-bounds",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T12:41:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bb4c4972e8b4d2ee98a14c0866fcd827adf9add2",
          "body": "Scraper robustness: 6 fixes (title/PDF-detection/temp-file/dimensions) (supersedes #1824…#1842)",
          "is_bot": false,
          "headline": "Merge pull request #1908 from assafelovic/batch-scraper-robustness",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T12:41:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4370ed948baaf5edbfeb0b739371f55e79f84663",
          "body": "Retriever hardening: 20 guard fixes against malformed results (supersedes #1837…#1890)",
          "is_bot": false,
          "headline": "Merge pull request #1907 from assafelovic/batch-retriever-guards",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T12:41:22Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "747d898e1cf1453470698b5f22511734ae400898",
          "body": "Resolve post-merge conflicts: 4 retriever/context fixes (supersedes #1895-1898)",
          "is_bot": false,
          "headline": "Merge pull request #1906 from assafelovic/pr-conflict-fixes",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T12:41:02Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bb3ec9ebfdf45af6841c5bcee549f248800eb1e0",
          "body": "(cherry picked from commit a8131af12dc83462ddca3418712b887b47363070)",
          "is_bot": false,
          "headline": "Add GetXAPI retriever for X/Twitter search",
          "author_name": "Bozad",
          "author_login": "bozad-getxapi",
          "committed_at": "2026-07-14T12:06:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a99431cae6ee4305f17c8cd0075856038cd5cdd2",
          "body": "Anthropic deprecates the temperature parameter on Claude Sonnet 4.5+,\nOpus 4.5+, and Haiku 4.5+. Passing temperature to these models now\nreturns a 400 error: \"'temperature' is deprecated for this model\".\n\nThis breaks the report-writer step in gpt-researcher when configured\nwith anthropic:claude-sonn\n[…]\nthat already handles GPT-5 and\nthe o1/o3/o4 reasoning models.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n(cherry picked from commit e199a5b03ec7998960df727f3882ccc6353f6ace)",
          "is_bot": false,
          "headline": "Add Claude 4.x family to NO_SUPPORT_TEMPERATURE_MODELS",
          "author_name": "gk_jarvis",
          "author_login": "aob-bot",
          "committed_at": "2026-07-14T12:05:37Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "17fe3f4e02e08f7bc679be78f8bbdba9d0d797c8",
          "body": "- Add MiniMax-M3 to model list and set as default\n- Keep MiniMax-M2.7 and MiniMax-M2.7-highspeed\n- Remove older models (M2.5/M2.5-highspeed)\n- Update related documentation\n\n(cherry picked from commit 18893c0181f200de3e08c7ba8b770658c129ac2a)",
          "is_bot": false,
          "headline": "feat: upgrade MiniMax default model to M3",
          "author_name": "octo-patch",
          "author_login": null,
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "365bc359dbbf4100f9bb1bc6528eb6b6be16bce0",
          "body": "…rcher.context\n\ncurate_sources() returns List[dict] (each dict contains Title, Content, Source\nkeys), but researcher.context is expected to be a str throughout the codebase.\nAssigning the List[dict] directly causes any downstream str operation to crash:\n\n  - len(researcher.context) returns the list \n[…]\nntent / Source' block joined by double newlines.\nNon-dict items fall back to str(). Non-list returns are passed through unchanged.\n\n(cherry picked from commit f71b95ba8aebca9343ac50985a2e9c0548d38cfb)",
          "is_bot": false,
          "headline": "fix: normalize curate_sources() return type before assigning to resea…",
          "author_name": "Jason Broderick",
          "author_login": "JasonBroderick",
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b6a70d98b10474a1c89838163ef5a5f864abc4f3",
          "body": "When CURATE_SOURCES=True, ResearchConductor.conduct_research() returns\nresult['context'] as a List[dict] (each dict has Title/Content/Source keys)\nrather than a plain str. Two separate crash paths:\n\n1. all_context.append(result['context']) nests the list as a single item,\n   so context_with_citation\n[…]\nmade type-safe so any residual\n   dict items are extracted via their 'Content' key rather than crashing.\n\nFixes #1279, fixes #1332\n\n(cherry picked from commit 216899eebf0cdc78390fd1886d1bb0b1113ce81f)",
          "is_bot": false,
          "headline": "fix: handle List[dict] context from CURATE_SOURCES=True in deep research",
          "author_name": "Jason Broderick",
          "author_login": "JasonBroderick",
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a0dacc2326d61db2c257547764e9cd61df835640",
          "body": "…yntax\n\nThe generate_search_queries_prompt() function said 'Write N google search\nqueries'. Instruction-following LLMs (e.g. GPT-5.4) interpret this literally\nand inject Google-specific operator syntax such as site:arxiv.org,\nfiletype:pdf, inurl:, intitle:, OR, AND into the generated queries.\n\nMost \n[…]\n operator syntax and explain why\n- Keep the fix backend-neutral so it is correct regardless of which\n  retriever(s) are configured\n\n(cherry picked from commit c15a8636e142e8a0b93f6896aa10e524d643d1bc)",
          "is_bot": false,
          "headline": "fix: make search query prompt retriever-agnostic, prohibit operator s…",
          "author_name": "Jason Broderick",
          "author_login": "JasonBroderick",
          "committed_at": "2026-07-14T12:04:47Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "03964d3ae20859bd0f9c5f56ab14ad0529a0befc",
          "body": "The loader_dict in _load_document keys formats in lower-case (pdf, docx,\nxlsx, ...), but _get_extension returned the raw suffix. A URL ending in\nan upper-case extension (e.g. report.PDF, doc.DOCX — common on direct\nlinks and signed CDN URLs) produced an upper-case format string that\nmissed every loader_dict key, so the document was silently skipped.\n\nLower-case the extracted extension so the loader lookup matches.\n\n(cherry picked from commit c67a179c8bbb1b0e8a910b2816b5f82cfd38d013)",
          "is_bot": false,
          "headline": "fix(document): normalise URL extension case in OnlineDocumentLoader",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9094ddf5addb0717b365e57181915ac25542ee0c",
          "body": "PyMuPDFScraper downloads a remote PDF to NamedTemporaryFile(delete=False)\nand only called os.remove() on the success path. When PyMuPDFLoader.load()\nraises on a malformed/partial PDF, the broad except swallowed the error and\nleft the temp .pdf on disk every time. Wrap the load in try/finally so the\ntemp file is always cleaned up.\n\n(cherry picked from commit 124ec5c30ca5a2de14f5af2555e66550ad040de5)",
          "is_bot": false,
          "headline": "fix(scraper): remove PyMuPDF temp file even when PDF loading fails",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9a5c8a4d0ec1fd7886adc6c6a6803c725577e09f",
          "body": "…rScraper\n\nThe Selenium BrowserScraper routed pages to the PDF path with\nself.url.endswith('.pdf'), which missed signed CDN/S3 links that carry a\nquery string (doc.pdf?sig=...) and was case-sensitive (.PDF). Such URLs\nfell through to HTML scraping and returned garbage. Extracted an\n_is_pdf_url helper that inspects only the URL path, lowercased.\n\n(cherry picked from commit 7e6dded91e37b4dfb9acd8d66c9b83fc5d51d997)",
          "is_bot": false,
          "headline": "fix(scraper): detect PDF links with query strings/uppercase in Browse…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "094ca882f5075ce8948cbf6039cfb1a470df5413",
          "body": "…sion\n\nInspect only the URL path component (via urlparse) and match\ncase-insensitively so signed CDN/S3 links like '.../doc.pdf?sig=...'\nand '.PDF' route to PyMuPDFScraper instead of the HTML scraper.\n\nAdds tests/test_scraper_get_scraper.py.\n\n(cherry picked from commit b2cfa28967ce18d0d0630922c38a469ccd1ac3c3)",
          "is_bot": false,
          "headline": "fix(scraper): detect PDF links with query strings and uppercase exten…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9db9902c776eadd8689af3e494f39fcf991bd1a3",
          "body": "…nsions\n\nparse_dimension printed an error line to stdout for every non-numeric width/height attribute. Values like '100%', 'auto', and '50em' are valid, common HTML, so normal scraping spammed application stdout. Log at debug level instead.\n\n(cherry picked from commit d5c0118773b8eade703428a11e63638007e005d4)",
          "is_bot": false,
          "headline": "fix(scraper): debug-log instead of printing on non-numeric image dime…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b5f445ca52e3904462542f23b147ef691b6bec42",
          "body": "…tags\n\nAn empty <title></title> made soup.title.string return None, violating the -> str contract and propagating None into image alt-text and document metadata across every scraper backend. Use get_text(strip=True) so the result is always a (stripped) string.\n\n(cherry picked from commit a8972cc87e73fd962e8c380adebf790bdc759024)",
          "is_bot": false,
          "headline": "fix(scraper): return empty string from extract_title for empty title …",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:27:25Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "032683fbd071a992034624b0cf3e7da85e5f647c",
          "body": "…dels\n\ntiktoken.encoding_for_model only knows OpenAI model names and raises KeyError for Ollama/Cohere/Nomic/HuggingFace embedding models, aborting cost tracking mid-research. Fall back to the default o200k_base encoding for a best-effort estimate.\n\n(cherry picked from commit 1f327f3167f7c330156c887d3aa027c5f7f12a29)",
          "is_bot": false,
          "headline": "fix(costs): fall back to default encoding for non-OpenAI embedding mo…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bcc1eac0ca56eb2509f2b6384b6d7117eb1fce87",
          "body": "json_repair.loads can yield a dict, bare string, or None when the LLM does not emit a clean JSON array; callers in researcher.plan_research treat the result as list[str] and crash on .append/iteration. Normalize defensively and fall back to the original query.\n\n(cherry picked from commit b3c1313fb958d60dc4550b375c894f63d36c5910)",
          "is_bot": false,
          "headline": "fix(query): always return list[str] from generate_sub_queries",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "06d2d27595922c345dd8bd1d8b4ad9dc0c07d8ca",
          "body": "The error log used a plain string ('...\\n {e}') with no f-prefix, so it recorded the literal text '{e}' instead of the exception, hiding the real cause of subtopic-parsing failures. Use lazy %-formatting with exc_info and drop the redundant print.\n\n(cherry picked from commit 878243e08e2fe676a64803107b1d4fe419734667)",
          "is_bot": false,
          "headline": "fix(llm): log the real exception in construct_subtopics error handler",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5cd8bec3fad5389e867995ef4387fb5d15fc78cb",
          "body": "quick_search previously only queried self.retrievers[0], ignoring any\nadditional retrievers configured via RETRIEVER (e.g. \"tavily,duckduckgo\").\nThis adds an opt-in all_retrievers flag that queries every configured\nretriever concurrently and merges the results, de-duplicated by URL\n(handling both 'u\n[…]\nl' and 'href' keys). Failing retrievers are skipped so\none bad provider does not abort the search. Default behaviour is unchanged.\n\n(cherry picked from commit 443d7c0835d7828e018500483541d3ad2a550f50)",
          "is_bot": false,
          "headline": "feat(agent): add all_retrievers option to quick_search",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0a1235a3d88fbe1b5e70ee24572193b2e230cfd9",
          "body": "Search retrievers return records keyed by 'href'/'body', but the\naggregated quick_search summary read 'url'/'content', so the\nsummarization prompt received empty source data ('[1] :  ()'). Read\n'href'/'body' with fallback to 'url'/'content' for pre-normalized records.\n\nAdds tests/test_quick_search_summary_context.py.\n\n(cherry picked from commit 3ad9e6d8766082f4af2930797dc290b8700e13fa)",
          "is_bot": false,
          "headline": "fix(agent): use real retriever keys in quick_search summary context",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "20a0066ec2cfabc16c963038a4f10f865ee8b331",
          "body": "extract_json_with_regex used a non-greedy '{.*?}' pattern, which stopped\nat the first closing brace. Any agent JSON with more than one key, or a\n'}' inside a string value (e.g. an agent_role_prompt mentioning\n'{markets}'), was truncated into an invalid fragment that json.loads\ncould not parse, defeating this fallback recovery path. Use a greedy\n'{.*}' so the match spans to the last '}' and captures the full object.\n\n(cherry picked from commit 82aa0c88ee74c9407b6f0697e72749e8f899bd13)",
          "is_bot": false,
          "headline": "fix(agent): capture whole JSON object in extract_json_with_regex",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "4f18febecdd61bfb4c2819521eb215d77e848ff5",
          "body": "Closes #1718.\n\n(cherry picked from commit 73964b1cd58c824b0bcb06540f9c3e4b2d17e39e)",
          "is_bot": false,
          "headline": "fix(export): avoid outputs/.pdf when export filename is empty",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "da6ecbb7ca0c052a6dc1c463d59a6123887888fe",
          "body": "Closes #1899.\n\nNone-sentinel coercion for Optional[str] was unreachable because the\nstr converter never raises and ran before the NoneType branch.\n\n(cherry picked from commit 02b8aebe33f850c5e4771142b69fc007e81646f8)",
          "is_bot": false,
          "headline": "fix(config): coerce none/null empty for Optional env fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9038ffa3fbd3902dc3a1c91340f4b6a3eedf1417",
          "body": "The guard in convert_configs_to_langchain_format checked\nserver_config['connection_type'], which is never set (only 'transport'\nis), so connection_headers were silently dropped and auth-protected\nHTTP MCP servers rejected the connection. Check 'transport' instead.\n\nCloses #1854.\n\n(cherry picked from commit 99bf7c49ae75961e3a68957869f4e4623d4e4180)",
          "is_bot": false,
          "headline": "fix(mcp): forward connection_headers for HTTP/websocket transports",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2f31a26739b44931e75b6cb477c1b0c16b28edef",
          "body": "add_references iterated visited_urls directly, but that is a set whose\niteration order varies run-to-run and across processes (PYTHONHASHSEED).\nThe final report's References section was therefore non-reproducible for\nidentical inputs. Sort the URLs before rendering so the same research\nyields the same reference list.\n\n(cherry picked from commit 521d98b086b822e4fa215c6323541be08c49bd84)",
          "is_bot": false,
          "headline": "fix(report): emit references in deterministic (sorted) order",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e331e066ed2b941d928cc7e68ea6854c27b0cf10",
          "body": "Closes #1579.\n\n(cherry picked from commit f96b6ada23d05c984e6abebc22182bd33fa4348d)",
          "is_bot": false,
          "headline": "fix(deep-research): stop descent when a level yields zero results",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:25:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "3dcb8392cefce7d613d4c3cdd0ae3712abe48d34",
          "body": "Add fact_check_revision_count and max_fact_check_revisions (default 3)\nso fact_checker→writer cannot stack overflow via recursion_limit.\n\n(cherry picked from commit 69381ff233acfd6989bde9a7a2adc91526e28502)",
          "is_bot": false,
          "headline": "fix(multi_agents): bound fact-checker writer revision loop",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:24:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5b59b615ac099fe1ad3f9cdcaedaa2b2a9d45737",
          "body": "Add draft_revision_count + max_draft_revisions (default 3) so the\neditor loop force-accepts gracefully instead of GraphRecursionError.\nPairs with the exact None-accept fix for #1881.\n\n(cherry picked from commit b2f801a198036ac7385ba9f13d9b1db134c515bc)",
          "is_bot": false,
          "headline": "fix(multi_agents): bound reviewer/reviser draft revision loop",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:24:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "72fe041b53436d5f110348c07f4093a5f73a9db2",
          "body": "Substring \"None\" accepted critical reviews as approval and published\nunrevised drafts. Match only the exact accept token (optional quotes).\nAlso fix reviser prompt string concatenation typo.\n\nCloses #1881\n\n(cherry picked from commit 5c033b44c393b6dfd0d6371709901b9189e17e5e)",
          "is_bot": false,
          "headline": "fix(multi_agents): exact None sentinel for reviewer and fact-checker",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:24:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "e4ecf0477114e30007bcbd8280632006b00fbe22",
          "body": "Interpolating the raw query broke searches with reserved characters\n('&' injected spurious params, '#' truncated the query). Build the\nquery string with urllib.parse.urlencode.\n\nAdds tests/test_google_search_url_encoding.py.\n\n(cherry picked from commit b59352c3c75e29e2be534c09b9647cf2b3795c6b)",
          "is_bot": false,
          "headline": "fix(google): URL-encode Custom Search query parameters",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "35af8cddb6c47f4faf150755e2d0ee4afa51f3fc",
          "body": "Closes #1875.\n\n(cherry picked from commit 7f16851b1dabfb5453986a42f73856ed9198220a)",
          "is_bot": false,
          "headline": "fix(retriever): skip redundant Tavily MCP when direct Tavily is active",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2544c77120785187fd576df544daea4e342c5297",
          "body": "Comma-separated retriever lists from request headers (e.g. 'tavily, exa')\nkept surrounding whitespace, so every name after the first failed the\nexact match in get_retriever and silently fell back to the default\nretriever. Move the strip (and blank-drop) so it applies to the header\npath too, not just the config path.\n\nAdds tests/test_get_retrievers_whitespace.py.\n\n(cherry picked from commit 95530a2699086f2f2cd0bfae5759a33a181f4ba2)",
          "is_bot": false,
          "headline": "fix(retriever): strip whitespace from header-supplied retriever lists",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "078815f2a1b4a318ba9c6896e77172070c2770b3",
          "body": "VALID_SORT_CRITERIA holds the API's exact values (citationCount,\npublicationDate) and __init__ asserts membership against them, but then\nstored sort.lower(), turning citationCount into citationcount before it\nwas passed as the 'sort' query param. The Semantic Scholar API expects\nthe camelCase form, so non-default sorts were silently broken. Keep the\nalready-validated value verbatim.\n\n(cherry picked from commit 9a2cdc51aa2a3a0ee2de1c478f6d661bf3b8c575)",
          "is_bot": false,
          "headline": "fix(retriever): preserve camelCase sort criterion for Semantic Scholar",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b9f1192e31e42413f1dacbb9c7bbd9203155067c",
          "body": "SearchAPIRetriever sliced page.get('raw_content', '')[:MAX], but the\ndefault only applies when the key is absent. The scraper explicitly sets\nraw_content=None for pages that failed to scrape, and slicing None raises\nTypeError, crashing context retrieval. Coerce a missing/None raw_content\nto '' before truncating (matching the defensive str() coercion already\nused in compression.py).\n\n(cherry picked from commit 2ffe6df27b4a76d51c0eae7b64ca4bdf584dc374)",
          "is_bot": false,
          "headline": "fix(context): guard SearchAPIRetriever against None raw_content",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "68a9687e6b9e4daac517a1d5e1bb09b173bdc4ab",
          "body": "Validate JSON envelope/list items and harden inverted-index abstract\nreconstruction against non-dict / bad index positions.\n\n(cherry picked from commit a1984fc7ab4038d760b53da7b37b35b6d1d7138b)",
          "is_bot": false,
          "headline": "fix(retriever): guard OpenAlex against malformed result payloads",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8ced8e7789a868e9618ba1eabfce54c050d0213d",
          "body": "Skip non-dict/missing-url rows; accept href/link/snippet aliases and\ntolerate list-shaped JSON envelopes.\n\n(cherry picked from commit ce1d251565a4cb842ad5c3838cee96a1626860a4)",
          "is_bot": false,
          "headline": "fix(retriever): guard GroundRoute against malformed result fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "8927ccf4c0f6d01eaf2ef2b1223ab8576b337191",
          "body": "Skip non-dict entries and results without a URL; tolerate href/snippet\naliases and non-dict JSON envelopes.\n\n(cherry picked from commit 859d798ef5991f4d37688186e30e830b61a2206c)",
          "is_bot": false,
          "headline": "fix(retriever): guard Searx against malformed/missing result fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bece998ec58e74fd3341a0723ea18a1a9fb99fea",
          "body": "ddgs may emit link/url and snippet/description; map them to the shared\nretriever schema and skip entries without a URL.\n\n(cherry picked from commit f9cabc9017a05f44a9f51e630c72c7e679779c3b)",
          "is_bot": false,
          "headline": "fix(retriever): normalize DuckDuckGo results to href/body contract",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b55be535e433e6ee67210a502bd04f4bf5d4d259",
          "body": "…jects\n\nsearch / find_similar / get_contents assumed every Exa result always has\n.url / .text / .id. A single incomplete object aborted the list\ncomprehension. Skip rows without a usable href/id and fall back to\nsummary or empty text body for partial hits.\n\n(cherry picked from commit a6419dc7667929bb530a64827815d8f2588353a4)",
          "is_bot": false,
          "headline": "fix(retriever): guard ExaSearch against null url/id/text on result ob…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1f4d302d4d342c52d1367763e7a625a2850ea277",
          "body": "Prefer .get for title/snippet/link so a partial CSE item cannot raise and\nis not silently discarded beyond missing-link cases. Non-dict JSON and\nnon-dict row items return/ skip cleanly to an empty or partial list.\n\n(cherry picked from commit 48cbf35a7dd1c3964b3a576f3ec30c1c381f4543)",
          "is_bot": false,
          "headline": "fix(retriever): guard GoogleSearch against malformed CSE content items",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "70f1c1fa432c7013ff6a5cca360913833e6afaa5",
          "body": "CustomRetriever previously returned None on HTTP failure and passed\nthrough null/non-list JSON payloads. Downstream iteration then raised\nTypeError (or treated the failure as \"no retriever\"), losing the research\nrun. Always return a list, reject non-list JSON as empty, and set a\ntimeout so a hung endpoint cannot block the agent.\n\n(cherry picked from commit 83909e4c63ba39c41dc4d0a386e66edbdc6e5631)",
          "is_bot": false,
          "headline": "fix(retriever): always return a list from CustomRetriever.search",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c84c633830218ccb4983dd5d650b4e5f82eda256",
          "body": "…ields\n\nA single Tavily hit missing \"url\" or \"content\" previously raised KeyError\ninside the list comprehension and dropped all results for the page. Skip\nnon-dict / empty-url hits and fall back to snippet or empty body instead.\n\n(cherry picked from commit 5e27a4530986e1008726b38f02261f5dee895815)",
          "is_bot": false,
          "headline": "fix(retriever): guard TavilySearch against malformed/missing result f…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "5b24d3fa9cc8425124bd827d40b2f1c8703b8324",
          "body": "…all results\n\nCRWRetriever.search() indexed obj[\"url\"] for every source in the fastCRW\nresponse. A single source without a \"url\" key raised a KeyError that the broad\nexcept in search() swallowed, discarding every other (valid) source and\nreturning an empty list. Skip url-less sources in the comprehe\n[…]\nresults.\n\nMirrors the defensive normalization already applied to the Serper, Bing,\nSearchApi, BoCha, XQuik and SerpApi retrievers.\n\n(cherry picked from commit a5150968b47d0666a4a8065f9017705939bced34)",
          "is_bot": false,
          "headline": "fix(retriever): skip fastCRW sources missing url instead of dropping …",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d82b1ed4e358ac789efb828c7dd1ba80d0adf874",
          "body": "…fields\n\nSerpApiSearch.search() indexed organic_results and each result's link/title/\nsnippet directly. A SerpApi response with no organic_results (error payload or\na query that matched nothing) raised KeyError, and a single result missing any\nof those keys aborted the whole search() call. Use .get(\n[…]\nh href=None.\n\nThis mirrors the defensive normalization already applied to the Serper, Bing,\nSearchApi, BoCha and XQuik retrievers.\n\n(cherry picked from commit 49d025e33a32c8025dbf841ec3634e7d4c9fc96e)",
          "is_bot": false,
          "headline": "fix(retriever): guard SerpApiSearch against malformed/missing result …",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "17923cf1572740c70dba2df49a38eee0fefd13eb",
          "body": "Bing normalization looped over results outside the try/except and indexed\nresult[\"url\"]/[\"name\"]/[\"snippet\"] directly, so a single result missing any\nkey raised an unhandled KeyError that aborted the entire search(). A response\nwithout a webPages block also raised KeyError instead of returning []. Use\n.get() with defaults and remove the dead 'search_results is None' branch.\n\n(cherry picked from commit bf8defff4b049f7def0581b9e87d32cddd989bd3)",
          "is_bot": false,
          "headline": "fix(retriever): guard BingSearch against malformed/missing result fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ebc17919bf7d591695f5862076925108940ffc6f",
          "body": "An explicit JSON null in the Xquik API response (\"tweets\": null, or a\ntweet with \"author\": null / \"text\": null) slipped past dict.get()'s\ndefault, since get() only substitutes when the key is absent. The\nresulting None crashed author.get()/text[:120]; the broad except in\nsearch() then swallowed the error and silently dropped every result.\nUse 'or' fallbacks, matching the sibling GetXAPI retriever.\n\n(cherry picked from commit b74b07db0d331491161e30ae28c11022311c610e)",
          "is_bot": false,
          "headline": "fix(retriever): guard XquikSearch against null author/tweets/text fields",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "69e46f45d67266678490058fa804cef5b39fa36c",
          "body": "BoChaSearch indexed json_response['data']['webPages']['value'] directly with\nno error handling, so a non-200 response, a non-JSON body, or a payload\nmissing those keys crashed the whole research run with an unhandled\nKeyError/JSONDecodeError. Every sibling retriever degrades to [] on failure.\nAdd raise_for_status + timeout, catch request/JSON errors, walk the response\ndefensively, and use .get() per result.\n\n(cherry picked from commit 448fccedf9501de6254103cb8f53432b8259ed68)",
          "is_bot": false,
          "headline": "fix(retriever): handle errors and missing keys in BoChaSearch",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "cbcb9901c54a2cda0971e3adc4eb7a463407982b",
          "body": "…earch.search\n\nPubMedCentralSearch.search returned None when no article IDs were found\n(search miss or a transient esearch failure). The result is consumed as\na list — actions.query_processing.get_search_results is typed\n-> List[Dict], and skills.researcher does len(search_results) — so a\nzero-hit P\n[…]\n has\nno len() instead of degrading to an empty result set like the other\nretrievers. Return [] and tighten the annotation to List.\n\n(cherry picked from commit 11473f23f2e5f583f5c5b0dbfc3f8730286fc183)",
          "is_bot": false,
          "headline": "fix(retriever): return empty list instead of None from PubMedCentralS…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8a9a4e4cd567b594ebd351c418a6a576a1d5f17a",
          "body": "…earch\n\nSerperSearch.search documents a list return type, and every sibling\nretriever (serpapi/brave/bing/searx) returns [] on error. But three\nerror paths (resp is None, JSON parse failure, JSON null) returned a\nbare None. Callers treat the result as a list — get_search_results is\nannotated -> List\n[…]\nof type 'NoneType' has no len() instead of degrading\nto an empty result set.\n\nReturn [] on all three paths to honour the contract.\n\n(cherry picked from commit ffa6d5f3e1f8cc0ef3d517468ff7168ac7f57545)",
          "is_bot": false,
          "headline": "fix(retriever): return empty list instead of None from SerperSearch.s…",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T09:21:51Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "8c4595f5db67b9baa0e0575a7e26a58807b643ca",
          "body": "Closes #1893.\n\nFast-path Document metadata was the raw scraper dict (url=…), but\npretty_print_docs reads metadata.source, so small document sets rendered\nSource: None and reports hallucinated placeholder citations.\n\n(cherry picked from commit c0b3b04e17c220f0e485075f5b19e6bfef1468cc)",
          "is_bot": false,
          "headline": "fix(context): map url to source on compressor fast path",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:28Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "17663ab6476b9daa27b2a92f5f2ce8729047aa78",
          "body": "Closes #1894.\n\nlangchain_community ArxivRetriever still calls removed Search.results()\non arxiv>=2.2, causing 100% scrape failure while abstracts still appear\nfrom the retriever. Call arxiv.Client().results() directly.\n\n(cherry picked from commit 269d1e940a82497ac2e0bd530ed174a561b3de1a)",
          "is_bot": false,
          "headline": "fix(scraper): fetch arXiv via Client API not Search.results",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "eb23f296fa6899ef11b8d784977e8b803fd38896",
          "body": "Treat non-dict/null openAccessPdf and non-list data as empty\nresults instead of AttributeError during result normalization.\n\n(cherry picked from commit ec06cf02e2897ca0ddd7f892cd5f120d5365aa7d)",
          "is_bot": false,
          "headline": "fix(retriever): guard Semantic Scholar openAccessPdf shapes",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:08Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a03261506fb5962bddc944287ee97b91d4d93e07",
          "body": "Skip non-dict / link-less organic hits instead of KeyError on\ntitle/link/snippet during result normalization.\n\n(cherry picked from commit 7736cd0e74f3f02442ee8a88456310a3ef1ce470)",
          "is_bot": false,
          "headline": "fix(retriever): guard Serper organic items against missing keys",
          "author_name": "Bartok9",
          "author_login": "Bartok9",
          "committed_at": "2026-07-14T08:56:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c8604e1f158cf1c0a0b32ff9bd79b9f59667342b",
          "body": "Removed 'STORM-style' from the description of the research pipeline.",
          "is_bot": false,
          "headline": "Update README to remove 'STORM-style' reference",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-14T08:46:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1a0a372829048090d153af99ccca2aca326be2ee",
          "body": "…angChain deep agent (#1857)\n\nDeep Agents example with benchmark suite. Builds on core fixes from #1861.",
          "is_bot": false,
          "headline": "Add Deep Agents example: GPT Researcher as the research engine in a L…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-13T07:56:52Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "47bd8ab5fcbb295b07f16c1f5c1088c932430f3e",
          "body": "…d research pipeline robustness (#1861)\n\nCore pipeline fixes found during DeepResearch Bench benchmarking. Merges before #1857.",
          "is_bot": false,
          "headline": "Fix silently dropped token limits, real usage-based cost tracking, an…",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
          "committed_at": "2026-07-13T07:56:47Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "bd54bf9fd18f233ed1abebc3fc678f1d02acbf20",
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          "headline": "feat: add Nebius Token Factory as LLM and embedding provider",
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          "author_login": "teionarr",
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          "is_bot": false,
          "headline": "Track benchmark run artifacts and swap FRAMES for the report head-to-…",
          "author_name": "Assaf Elovic",
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          "headline": "Headline the hybrid benchmark's 94% peak coverage instead of the range",
          "author_name": "Assaf Elovic",
          "author_login": "assafelovic",
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          "is_bot": false,
          "headline": "Harden hybrid benchmark: realistic corpus and a DIY file-tools baseli…",
          "author_name": "Assaf Elovic",
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          "is_bot": false,
          "headline": "Add supporting benchmarks: Q&A accuracy parity and hybrid private-doc…",
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          "is_bot": false,
          "headline": "Add DeepResearch Bench results: +89% verified citations over raw-sear…",
          "author_name": "Assaf Elovic",
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          "is_bot": false,
          "headline": "Fix silently dropped token limits, real usage-based costs, and resear…",
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          "body": "…angChain deep agent\n\nAdds deep_agents/, a new multi-agent example where a chief-editor deep agent\nplans with todos, delegates sections to researcher subagents, and uses GPT\nResearcher via quick_search/deep_research tools (web, local or hybrid\nsources), with docs, a Docusaurus page and Mermaid suppo\n[…]\nnAI models to the gpt-5.4 family and fixes the Tavily retriever to\ntranslate site: operators into include_domains and respect the 400-char query\nlimit.\n\nCo-authored-by: Cursor <cursoragent@cursor.com>",
          "is_bot": false,
          "headline": "Add Deep Agents example: GPT Researcher as the research engine in a L…",
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          "is_bot": false,
          "headline": "Merge pull request #1820 from assafelovic/security/content-hardening",
          "author_name": "Assaf Elovic",
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          "body": "Hardens against content-level issues that affect users running GPT-Researcher\nas intended (independent of who can reach the server):\n\n- Add SECURITY.md documenting the threat model (the backend is operator-run and\n  ships without built-in auth by design) and a private vulnerability-reporting\n  chann\n[…]\narlier versions\n  have no decompression size limit (CVE-2025-6176 decompression-bomb DoS).\n\nCloses #1719\nCloses #1659\nCloses #1819\nCloses #1103\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "security: sanitize untrusted content, add SECURITY.md, pin brotli",
          "author_name": "Assaf Elovic",
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          "body": "Fix Azure blob loader path handling",
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          "headline": "Merge pull request #1817 from konnisan/fix-azure-blob-loader-paths",
          "author_name": "Assaf Elovic",
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          "headline": "Merge pull request #1813 from lucaszhu-hue/feat/add-atlascloud-provider",
          "author_name": "Assaf Elovic",
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          "is_bot": false,
          "headline": "Merge pull request #1809 from KasraBashirioskooei/feat/multi-agents-f…",
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          "body": "Abstain instead of fabricating a report when no content was gathered",
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          "headline": "Merge pull request #1799 from aaravanmay/abstain-on-empty-context",
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          "headline": "Merge pull request #1793 from agbocsardi/feature/brave-search-retriever",
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          "headline": "Merge pull request #1790 from SeanHe727/add-simpleqa-eval-logging",
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          "headline": "Fix Azure blob loader path handling",
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          "headline": "feat: add Atlas Cloud as an OpenAI-compatible LLM provider",
          "author_name": "lucaszhu-hue",
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          "headline": "Add GroundRoute retriever (multi-engine search, cached)",
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          "headline": "feat: add FactChecker and Visualizer agents to multi-agent workflow",
          "author_name": "Kasra Bashirioskooei",
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          "is_bot": false,
          "headline": "feat(retrievers): add fastCRW search retriever",
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                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "verified_domain"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 68,
            "inputs": {
              "followers": 1219,
              "owner_type": "User",
              "is_verified": null,
              "owner_login": "assafelovic",
              "public_repos": 23,
              "account_age_days": 4015
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "personal (user) account",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": "not applicable to user accounts",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_applicable_to_user_accounts",
                    "params": {}
                  }
                ],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "1,219 followers of assafelovic",
                "points": 22.2,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 1219,
                      "login": "assafelovic"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "23 public repos, account ~11 yr old",
                "points": 22.1,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 23
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 11
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "gpt-researcher"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 8
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 8 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 8
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "110 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 110
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 84,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "good",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": false
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "5 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 5
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": ".eslintrc.json",
                "points": 16,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".eslintrc.json"
                    }
                  }
                ],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "8 out of 9 merged PRs checked by a CI test -- score normalized to 8",
                "points": 16,
                "status": "partial",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "ai",
                "python",
                "agent",
                "automation",
                "research",
                "search",
                "webscraping",
                "llms",
                "deepresearch",
                "mcp",
                "mcp-server"
              ],
              "has_wiki": false,
              "homepage": "https://gptr.dev",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://gptr.dev",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "11 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 11
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "good",
        "name": "Security",
        "value": 70,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "moderate",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 62,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 15,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 3,
              "scorecard_aggregate": 6.2
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "8 out of 9 merged PRs checked by a CI test -- score normalized to 8",
                "points": 2,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/9 approved changesets -- score normalized to 1",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 13 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 18 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:gpt-researcher@0.16.0 runtime dependency closure — what installing the published package pulls in — 159 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:gpt-researcher@0.16.0",
                  "assessed": 159
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 159,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 159,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 4
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 80,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.95,
              "agent_instruction_files": [
                ".cursorrules"
              ],
              "agent_instruction_max_bytes": 5937
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": ".cursorrules",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".cursorrules"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "95 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 95,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 69,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "frontend/nextjs/tsconfig.json"
              ],
              "agent_commit_share": 0.13,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": ".eslintrc.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".eslintrc.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "frontend/nextjs/tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "frontend/nextjs/tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "13 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 13,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
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            "name": "Code legibility for models",
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              },
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                "name": "Manageable file sizes",
                "detail": "1/367 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
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                "max_points": 55
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          {
            "key": "ai_interfaces",
            "band": "excellent",
            "name": "Machine-readable interfaces",
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            "notes": [],
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              {
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        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Could not fetch npm package 'simple_js_test' from its registry"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T00:33:25.772155Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/assafelovic/gpt-researcher.svg",
  "full_name": "assafelovic/gpt-researcher",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.

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