Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-25 07:21 UTC

acex-labs / acex

PythonCustom license★ 1 star⑂ 0 forkssince Nov 2025View on GitHub ↗

KindCommand-line toolMCP serverLibraryNetwork servicehow this is determined

acex-labs/acex holds a health index of 60 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (78/100) and lowest on Community & Adoption (38/100). It was last updated today. 2 contributors account for most of its recent work.

overall / 100

Moderate

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met

Excellent80-92Strong across the board; minor gaps

Good65-79Healthy; gaps are limited and manageable

Moderate50-64Acceptable with notable gaps; review recommended

Weak35-49Material weaknesses across several areas

At Risk20-34Significant weaknesses; adoption warrants caution

Critical1-19Severe 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.

The weighted overall 57 is calibrated to 60 on the published index scale (record calibration 2026-08-02).

Ownership

acex-labsOrganization

0 followers3 public repossince Nov 2025

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

Registry	Package	Version	Downloads / mo	Versions	Last publish	Tags
PyPI	acex-cli	4.5.1	300	18	22 days ago	automation cli control
PyPI	acex-mcp	1.0.0	129	1	8 days ago	—
PyPI	acex-client	4.8.3	665	22	21 days ago	automation control
PyPI	acex-devkit	2.8.0	1,529	53	0 days ago	automation devkit sdk drivers plugins
PyPI	acex	6.21.0	3,705	145	0 days ago	automation control api

Metrics by category

Vitality

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

57Moderate · 21% of overall

Development activity

95Exceptional

How it's scored

36/36	Push recency — last push 0 days ago
31.2/36	Commit cadence — 45/52 weeks with commits
18/18	Commit volume — 544 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	544
human_commit_share	1
days_since_last_push	0
active_weeks_last_year	45

Release discipline

1Critical

How it's scored

0/27	Ships releases — no releases published
0/36	Release recency — no releases
0/27	Release cadence — no releases
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count

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?

38Weak · 17% of overall

Popularity & adoption

1Critical

How it's scored

0/60	Stars — 1 stars
0/25	Forks — 0 forks
0/15	Watchers — 0 watchers

Inputs used

forks	0
stars	1
watchers	0
growth_state	unverified
growth_factor_pct	100
growth_unverified_reason	no_history

Community health

64Moderate

How it's scored

22.5/22.5	README
16.9/22.5	License — license file present, not a recognized license
18/18	CONTRIBUTING guide
0/13.5	Code of conduct
0/7.2	Issue template
0/6.3	PR template

Inputs used

has_readme	yes
has_license	yes
readme_badges	2
has_contributing	yes
has_issue_template	no
has_code_of_conduct	no
readme_badge_services	shields.io
has_pull_request_template	no

Ecosystem adoption (downloads)

62Moderate

How it's scored

49.9/80	Monthly downloads — 5,534 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	acex-cli, acex-devkit, acex
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	5,534
unverified_packages_excluded	acex-mcp, acex-client

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?

62Moderate · 23% of overall

Maintainer resilience (bus factor)

48Weak

How it's scored

25.2/54	Bus factor — 2 contributor(s) cover half of all commits
13.5/22.5	Commit distribution — top contributor authored 40% of commits
6.8/13.5	Contributor breadth — 5 contributors
3/10	OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3

Inputs used

bus_factor	2
contributors_sampled	5
top_contributor_share	0.401

Issue & PR responsiveness

76Good

How it's scored

0/42	Issue resolution — no issues or no data
29.1/30	PR acceptance — 277/286 decided PRs merged
0/13	Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
15/15	OpenSSF Scorecard: Code-Review — all changesets reviewed

Inputs used

merged_prs	277
open_issues	0
closed_issues	0
prs_merged_7d	6
prs_decided_7d	6
prs_merged_30d	46
prs_decided_30d	49
issue_closed_ratio	—
closed_unmerged_prs	9
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	1

Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.

Ownership & stewardship

36Weak

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain
0/25	Owner reach — 0 followers of acex-labs
6.2/25	Track record — 3 public repos, account ~0 yr old

Inputs used

followers	0
owner_type	Organization
is_verified	no
owner_login	acex-labs
public_repos	3
account_age_days	327

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 5 package(s) on pypi
35/35	Publish recency — latest publish 0 days ago
20/20	Version history — 145 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	acex-cli, acex-mcp, acex-client, acex-devkit, acex
ecosystems	pypi
any_deprecated	no
min_days_since_publish	0

Engineering Quality

Are baseline engineering and documentation practices in place?

78Good · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 4 workflow(s)
24/24	Tests present
16/16	Linter config — ruff.toml
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

55Moderate

How it's scored

30/30	README
25/25	Documentation directory
0/15	Documentation / homepage site
0/10	Repository description
0/10	Topics
0/10	Wiki

Inputs used

topics	—
has_wiki	no
homepage	—
docs_site	—
has_readme	yes
has_docs_dir	yes
has_description	no

Security

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

42Weak · 16% of overall

Security posture

43Weak

How it's scored

6/7.5	Binary-Artifacts — binaries present in source code
0/7.5	Branch-Protection — no data
2.5/2.5	CI-Tests — 6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5	Code-Review — all changesets reviewed
0.8/2.5	Contributors — project has 1 contributing companies or organizations -- score normalized to 3
0/10	Dangerous-Workflow — dangerous workflow patterns detected
0/7.5	Dependency-Update-Tool — no update tool detected
0/5	Fuzzing — project is not fuzzed
2.2/2.5	License — license file detected
7.5/7.5	Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5	Packaging — packaging workflow detected
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
0/5	Security-Policy — security policy file not 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	16
scorecard_version	v5.5.0
checks_inconclusive	2
scorecard_aggregate	4.3

Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.

Dependency advisories

37Weak

How it's scored

4.7/35	Direct dependencies free of known advisories — 4 affected: fastmcp 2.13.0.2 (critical 10.0), click 8.3.0 (high 7.2), mcp 1.20.0 (high 7.1), +1 more
0/25	Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
22.9/40	No advisories left outstanding — 4 advisory-carrying package(s) unaddressed past 90 days; oldest published 296 days ago

Inputs used

source	osv
advisories	110
affected_packages	19
assessed_packages	204
unassessed_packages	16
affected_by_severity	critical 4, high 8, moderate 5, low 2
direct_affected_packages	4

Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories. Remaining weights renormalized. Matched 204 resolved dependencies against OSV. 16 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

67Good · 4% of overall

Agent context & guidance

85Excellent

How it's scored

45/45	Agent instructions — .github/copilot-instructions.md, CLAUDE.md, agents/telemetry-agent/AGENTS.md, docs/components/agents.md
0/15	Machine-readable docs (llms.txt)
40/40	Legible commit history — 85 of 100 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.85
agent_instruction_files	.github/copilot-instructions.md, CLAUDE.md, agents/telemetry-agent/AGENTS.md, docs/components/agents.md
agent_instruction_max_bytes	9,656

Verify loop (build / test / typecheck)

61Moderate

How it's scored

18/18	One-command bootstrap — Taskfile.yml
22/22	Automated tests
11/11	Lint / format config — ruff.toml
0/11	Static type checking
10/10	Reproducible environment — Dockerfile, lockfile
0/10	Demonstrated agent practice — no agent-authored commits among the last 100
0/8	Automated maintenance — no automated dependency updates observed
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	poetry.lock
has_dockerfile	yes
typed_language	no
bootstrap_files	Taskfile.yml
has_devcontainer	no
has_linter_config	yes
typecheck_configs	—
agent_commit_share	0
toolchain_manifests	—
dependency_bot_commit_share	0

Code legibility for models

55Moderate

How it's scored

0/45	Type-checkable code — Python without a type-check config
55/55	Manageable file sizes — 0/493 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	48,292
source_files_sampled	493
oversized_source_files	0

Machine-readable interfaces

60Moderate

How it's scored

0/40	API schema (OpenAPI/GraphQL/proto)
20/20	MCP server
40/40	Runnable examples — examples

Inputs used

example_dirs	examples
has_mcp_signal	yes
api_schema_files	—
interfaces_expected_of	network-service

Key facts

1GitHub stars

5contributors

544commits, last 12 months

0days since last push

0releases

2bus factor

0open issues

PyPIpackage ecosystems

Data collection warnings

Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Could not fetch pypi package 'acex-worker' from its registry
deps.dev does not index pypi:acex@6.21.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.3 / 10

4.3aggregate

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 · 2026-09-25 07:21 UTC

8	Binary-Artifacts	binaries present in source code
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
10	CI-Tests	6 out of 6 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
10	Code-Review	all changesets reviewed
3	Contributors	project has 1 contributing companies or organizations -- score normalized to 3
0	Dangerous-Workflow	dangerous workflow patterns detected
0	Dependency-Update-Tool	no update tool detected
0	Fuzzing	project is not fuzzed
9	License	license file detected
10	Maintained	30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10	Packaging	packaging workflow 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
0	Security-Policy	security policy file not 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 37

Registry	Package	Version constraint	Manifest
PyPI	uvicorn	`>=0.38.0`	backend/pyproject.toml
PyPI	fastapi	`>=0.121.0`	backend/pyproject.toml
PyPI	sqlmodel	`>=0.0.27`	backend/pyproject.toml
PyPI	requests	`>=2.32.5`	backend/pyproject.toml
PyPI	python-jose	`>=3.3.0`	backend/pyproject.toml
PyPI	psycopg2-binary	`>=2.9.10`	backend/pyproject.toml
PyPI	jinja2	`>=3.1.6`	backend/pyproject.toml
PyPI	openai	`>=1.54.0`	backend/pyproject.toml
PyPI	mcp	`>=1.20.0`	backend/pyproject.toml
PyPI	fastmcp	`>=2.13.0.2`	backend/pyproject.toml
PyPI	ipaddress	`>=1.0.23`	backend/pyproject.toml
PyPI	hvac	`>=2.3.0`	backend/pyproject.toml
PyPI	httpx	`>=0.28.0`	backend/pyproject.toml
PyPI	acex-devkit	`—`	backend/pyproject.toml
PyPI	alembic	`>=1.19.1`	backend/pyproject.toml
PyPI	typer	`>=0.12.0`	cli/pyproject.toml
PyPI	rich	`>=13.0.0`	cli/pyproject.toml
PyPI	click	`>=8.1.7`	cli/pyproject.toml
PyPI	acex-client	`—`	cli/pyproject.toml
PyPI	acex-devkit	`—`	cli/pyproject.toml
PyPI	acex-driver-cisco-ioscli	`—`	cli/pyproject.toml
PyPI	ntc-templates	`>=8.1.0`	cli/pyproject.toml
PyPI	httpx	`>=0.27.0`	client/pyproject.toml
PyPI	pydantic	`>=2.12.5`	client/pyproject.toml
PyPI	acex-devkit	`—`	client/pyproject.toml
PyPI	pydantic	`>=2.12.5`	devkit/pyproject.toml
PyPI	typing-extensions	`>=4.0.0`	devkit/pyproject.toml
PyPI	deepdiff	`>=8.6.1`	devkit/pyproject.toml
PyPI	ipaddress	`>=1.0.23`	devkit/pyproject.toml
PyPI	sqlmodel	`>=0.0.27`	devkit/pyproject.toml
PyPI	mcp	`>=1.1.0`	mcp/pyproject.toml
PyPI	fastmcp	`>=2.13.0.2`	mcp/pyproject.toml
PyPI	httpx	`>=0.28.0`	mcp/pyproject.toml
PyPI	acex-client	`—`	mcp/pyproject.toml
PyPI	acex	`—`	worker/pyproject.toml
PyPI	celery	`>=5.3.0`	worker/pyproject.toml
PyPI	redis	`>=5.0.0`	worker/pyproject.toml

All dependencies 220

Full resolved dependency set from the GitHub dependency graph: 46 direct and 174 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	alembic	`—`	direct
PyPI	alembic	`1.20.0`	direct
PyPI	celery	`5.6.3`	direct
PyPI	click	`8.3.0`	direct
PyPI	click	`8.5.0`	direct
PyPI	deepdiff	`8.6.2`	direct
PyPI	deepdiff	`9.1.0`	direct
PyPI	fastapi	`—`	direct
PyPI	fastapi	`0.141.1`	direct
PyPI	fastmcp	`—`	direct
PyPI	fastmcp	`2.13.0.2`	direct
PyPI	fastmcp	`4.0.4`	direct
PyPI	httpx	`—`	direct
PyPI	httpx	`0.28.1`	direct
PyPI	hvac	`—`	direct
PyPI	ipaddress	`—`	direct
PyPI	ipaddress	`1.0.23`	direct
PyPI	jinja2	`—`	direct
PyPI	jinja2	`3.1.6`	direct
PyPI	mcp	`—`	direct
PyPI	mcp	`1.20.0`	direct
PyPI	mcp	`2.2.0`	direct
PyPI	ntc-templates	`9.3.0`	direct
PyPI	openai	`—`	direct
PyPI	openai	`3.14.1`	direct
PyPI	psycopg2-binary	`—`	direct
PyPI	psycopg2-binary	`2.9.13`	direct
PyPI	pydantic	`2.13.5`	direct
PyPI	python-jose	`—`	direct
PyPI	python-jose	`3.5.0`	direct
PyPI	redis	`8.1.0`	direct
PyPI	requests	`—`	direct
PyPI	requests	`2.32.5`	direct
PyPI	requests	`2.34.2`	direct
PyPI	rich	`14.2.0`	direct
PyPI	rich	`15.0.0`	direct
PyPI	sqlmodel	`—`	direct
PyPI	sqlmodel	`0.0.27`	direct
PyPI	sqlmodel	`0.0.42`	direct
PyPI	sqlmodel	`0.0.47`	direct
PyPI	typer	`0.27.2`	direct
PyPI	typing-extensions	`4.15.0`	direct
PyPI	typing-extensions	`4.16.0`	direct
PyPI	uvicorn	`—`	direct
PyPI	uvicorn	`0.38.0`	direct
PyPI	uvicorn	`0.53.0`	direct
PyPI	aiofile	`3.12.3`	indirect
PyPI	amqp	`5.3.1`	indirect
PyPI	annotated-doc	`0.0.5`	indirect
PyPI	annotated-types	`0.7.0`	indirect
PyPI	annotated-types	`0.8.0`	indirect
PyPI	anyio	`4.11.0`	indirect
PyPI	anyio	`4.15.1`	indirect
PyPI	asttokens	`3.0.2`	indirect
PyPI	asyncssh	`2.24.0`	indirect
PyPI	attrs	`25.4.0`	indirect
PyPI	attrs	`26.1.0`	indirect
PyPI	authlib	`1.6.5`	indirect
PyPI	authlib	`1.8.0`	indirect
PyPI	bcrypt	`5.0.0`	indirect
PyPI	beartype	`0.22.5`	indirect
PyPI	beartype	`0.22.9`	indirect
PyPI	billiard	`4.2.4`	indirect
PyPI	cachebox	`5.2.3`	indirect
PyPI	cachetools	`6.2.1`	indirect
PyPI	cachetools	`7.1.8`	indirect
PyPI	caio	`0.12.4`	indirect
PyPI	certifi	`2025.10.5`	indirect
PyPI	certifi	`2026.7.22`	indirect
PyPI	cffi	`2.0.0`	indirect
PyPI	cffi	`2.1.1`	indirect
PyPI	charset-normalizer	`3.4.4`	indirect
PyPI	charset-normalizer	`3.5.1`	indirect
PyPI	click-didyoumean	`0.3.1`	indirect
PyPI	click-plugins	`1.1.1.2`	indirect
PyPI	click-repl	`0.3.0`	indirect
PyPI	colorama	`0.4.6`	indirect
PyPI	cryptography	`46.0.3`	indirect
PyPI	cryptography	`50.0.1`	indirect
PyPI	cyclopts	`4.2.1`	indirect
PyPI	cyclopts	`4.25.2`	indirect
PyPI	diskcache	`5.6.3`	indirect
PyPI	dnspython	`2.8.0`	indirect
PyPI	docstring-parser	`0.17.0`	indirect
PyPI	docstring-parser	`0.18.0`	indirect
PyPI	docutils	`0.22.2`	indirect
PyPI	ecdsa	`0.19.2`	indirect
PyPI	email-validator	`2.3.0`	indirect
PyPI	exceptiongroup	`1.3.0`	indirect
PyPI	exceptiongroup	`1.3.1`	indirect
PyPI	executing	`2.2.1`	indirect
PyPI	fastmcp-slim	`4.0.4`	indirect
PyPI	greenlet	`3.5.5`	indirect
PyPI	greenlet	`3.5.6`	indirect
PyPI	griffelib	`2.3.0`	indirect
PyPI	h11	`0.16.0`	indirect
PyPI	httpcore	`1.0.9`	indirect
PyPI	httpcore2	`2.13.0`	indirect
PyPI	httpx-sse	`0.4.3`	indirect
PyPI	httpx2	`2.13.0`	indirect
PyPI	httpx2-jsfetch	`1.0`	indirect
PyPI	idna	`3.11`	indirect
PyPI	idna	`3.19`	indirect
PyPI	iniconfig	`2.3.0`	indirect
PyPI	invoke	`3.0.3`	indirect
PyPI	ipython	`9.17.1`	indirect
PyPI	ipython-pygments-lexers	`1.1.1`	indirect
PyPI	jaraco-classes	`3.4.0`	indirect
PyPI	jaraco-context	`6.0.1`	indirect
PyPI	jaraco-context	`6.1.2`	indirect
PyPI	jaraco-functools	`4.3.0`	indirect
PyPI	jaraco-functools	`4.6.0`	indirect
PyPI	jedi	`0.20.0`	indirect
PyPI	jeepney	`0.9.0`	indirect
PyPI	jiter	`0.17.0`	indirect
PyPI	joserfc	`1.7.5`	indirect
PyPI	jsonref	`1.1.0`	indirect
PyPI	jsonschema	`4.25.1`	indirect
PyPI	jsonschema	`4.26.0`	indirect
PyPI	jsonschema-path	`0.3.4`	indirect
PyPI	jsonschema-path	`0.5.0`	indirect
PyPI	jsonschema-specifications	`2025.9.1`	indirect
PyPI	keyring	`25.6.0`	indirect
PyPI	keyring	`25.7.0`	indirect
PyPI	kombu	`5.6.2`	indirect
PyPI	mako	`1.4.1`	indirect
PyPI	markdown-it-py	`4.0.0`	indirect
PyPI	markdown-it-py	`4.2.0`	indirect
PyPI	markupsafe	`3.0.3`	indirect
PyPI	matplotlib-inline	`0.2.2`	indirect
PyPI	mcp-types	`2.2.0`	indirect
PyPI	mdurl	`0.1.2`	indirect
PyPI	more-itertools	`10.8.0`	indirect
PyPI	more-itertools	`11.1.0`	indirect
PyPI	netmiko	`4.7.0`	indirect
PyPI	openapi-pydantic	`0.5.1`	indirect
PyPI	opentelemetry-api	`1.44.0`	indirect
PyPI	orderly-set	`5.5.0`	indirect
PyPI	packaging	`26.2`	indirect
PyPI	packaging	`26.3`	indirect
PyPI	paramiko	`4.0.0`	indirect
PyPI	parso	`0.8.7`	indirect
PyPI	pathable	`0.4.4`	indirect
PyPI	pathable	`0.6.0`	indirect
PyPI	pathvalidate	`3.3.1`	indirect
PyPI	pexpect	`4.9.0`	indirect
PyPI	platformdirs	`4.11.9`	indirect
PyPI	platformdirs	`4.5.0`	indirect
PyPI	pluggy	`1.6.0`	indirect
PyPI	prompt-toolkit	`3.0.53`	indirect
PyPI	psutil	`7.2.2`	indirect
PyPI	ptyprocess	`0.7.0`	indirect
PyPI	pure-eval	`0.2.4`	indirect
PyPI	py-key-value-aio	`0.2.8`	indirect
PyPI	py-key-value-aio	`0.4.5`	indirect
PyPI	py-key-value-shared	`0.2.8`	indirect
PyPI	pyasn1	`0.6.4`	indirect
PyPI	pycparser	`2.23`	indirect
PyPI	pycparser	`3.0`	indirect
PyPI	pydantic-core	`2.46.5`	indirect
PyPI	pydantic-settings	`2.11.0`	indirect
PyPI	pydantic-settings	`2.15.0`	indirect
PyPI	pygments	`2.19.2`	indirect
PyPI	pygments	`2.21.0`	indirect
PyPI	pyjwt	`2.10.1`	indirect
PyPI	pyjwt	`2.14.0`	indirect
PyPI	pynacl	`1.6.2`	indirect
PyPI	pyperclip	`1.11.0`	indirect
PyPI	pyserial	`3.5`	indirect
PyPI	pytest	`—`	indirect
PyPI	pytest	`8.4.2`	indirect
PyPI	pytest-asyncio	`—`	indirect
PyPI	pytest-asyncio	`0.23.8`	indirect
PyPI	python-dateutil	`2.9.0.post0`	indirect
PyPI	python-dotenv	`1.2.1`	indirect
PyPI	python-dotenv	`1.2.3`	indirect
PyPI	python-multipart	`0.0.20`	indirect
PyPI	python-multipart	`0.0.32`	indirect
PyPI	pywin32	`311`	indirect
PyPI	pywin32	`312`	indirect
PyPI	pywin32-ctypes	`0.2.3`	indirect
PyPI	pyyaml	`6.0.3`	indirect
PyPI	referencing	`0.36.2`	indirect
PyPI	referencing	`0.37.0`	indirect
PyPI	respx	`0.22.0`	indirect
PyPI	rich-rst	`1.3.2`	indirect
PyPI	rich-rst	`2.1.0`	indirect
PyPI	rpds-py	`0.28.0`	indirect
PyPI	rpds-py	`2026.6.3`	indirect
PyPI	rsa	`4.9.1`	indirect
PyPI	ruamel-yaml	`0.19.1`	indirect
PyPI	scp	`0.16.1`	indirect
PyPI	scrapli	`2026.2.20`	indirect
PyPI	secretstorage	`3.4.0`	indirect
PyPI	secretstorage	`3.5.0`	indirect
PyPI	shellingham	`1.5.4`	indirect
PyPI	six	`1.17.0`	indirect
PyPI	sniffio	`1.3.1`	indirect
PyPI	sqlalchemy	`2.0.52`	indirect
PyPI	sqlalchemy	`2.0.54`	indirect
PyPI	sse-starlette	`3.0.3`	indirect
PyPI	sse-starlette	`3.4.11`	indirect
PyPI	stack-data	`0.6.3`	indirect
PyPI	starlette	`0.49.3`	indirect
PyPI	starlette	`1.6.0`	indirect
PyPI	textfsm	`2.1.0`	indirect
PyPI	traitlets	`5.16.1`	indirect
PyPI	truststore	`0.10.4`	indirect
PyPI	typing-inspection	`0.4.2`	indirect
PyPI	typing-inspection	`0.4.4`	indirect
PyPI	tzdata	`2026.4`	indirect
PyPI	tzlocal	`5.4.4`	indirect
PyPI	uncalled-for	`0.4.0`	indirect
PyPI	urllib3	`2.5.0`	indirect
PyPI	urllib3	`2.8.0`	indirect
PyPI	vine	`5.1.0`	indirect
PyPI	watchfiles	`1.2.0`	indirect
PyPI	wcwidth	`0.8.3`	indirect
PyPI	websockets	`15.0.1`	indirect
PyPI	websockets	`17.1`	indirect

Dependency advisories 19

This repository publishes no package the index resolves, so its own dependency graph was assessed — 204 packages, which also include development and test pins that never ship: 19 carry known advisories, of which 4 are direct. 16 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

Package	Version	Relation	Severity	Advisories	Fixed in
fastmcp	`2.13.0.2`	direct	critical	9	`3.2.0`
anyio	`4.11.0`	indirect	critical	2	`4.14.2`
authlib	`1.6.5`	indirect	critical	16	`1.7.1`
cryptography	`46.0.3`	indirect	critical	13	`50.0.0`
click	`8.3.0`	direct	high	1	`8.3.3`
mcp	`1.20.0`	direct	high	6	`1.28.1`
ecdsa	`0.19.2`	indirect	high	2	—
jaraco-context	`6.0.1`	indirect	high	2	`6.1.0`
pyjwt	`2.10.1`	indirect	high	13	`2.13.0`
python-multipart	`0.0.20`	indirect	high	14	`0.0.31`
starlette	`0.49.3`	indirect	high	10	`1.3.1`
urllib3	`2.5.0`	indirect	high	8	`2.7.0`
requests	`2.32.5`	direct	moderate	2	`2.33.0`
diskcache	`5.6.3`	indirect	moderate	2	—
idna	`3.11`	indirect	moderate	2	`3.15`
pytest	`8.4.2`	indirect	moderate	2	`9.0.3`
python-dotenv	`1.2.1`	indirect	moderate	2	`1.2.2`
paramiko	`4.0.0`	indirect	low	2	—
pygments	`2.19.2`	indirect	low	2	`2.20.0`

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.

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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

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