Public record
Software health reportschema 0.14.0 · metrics 2.10.0 · 2026-07-19 05:18 UTC

blisspixel / primr

Turn any company URL into a strategic intelligence brief. Adaptive scraping + AI-powered research and synthesis.

PythonApache-2.0★ 3 stars⑂ 2 forkssince Dec 2025View on GitHub ↗
KindMCP serverNetwork serviceLibraryCommand-line toolhow this is determined
#ai-agent#autonomous-research#deep-research#mcp-server#strategic-analysis#anti-bot-scraping#company-due-diligence#claude-skills#openclaw

blisspixel/primr holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (50/100). It was last updated today. A single contributor accounts for most of its recent work.

83
overall / 100
Excellent

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.

83
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

Nick SealPersonal account
3 followers8 public repossince Oct 2017

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIprimr1.36.17,380850 days agoairesearchcompanyintelligencegeminigrokreportanalysisscraping

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

83Excellent
How it's scored
36/36Push recency — last push 0 days ago
19.4/36Commit cadence — 28/52 weeks with commits
18/18Commit volume — 704 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year704
human_commit_share—
days_since_last_push0
active_weeks_last_year28

Release discipline

90Excellent
How it's scored
27/27Ships releases — 88 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count88
latest_release_tagv1.36.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.6

Community & Adoption

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

50Moderate · 17% of overall

Popularity & adoption

5Critical
How it's scored
4.9/60Stars — 3 stars
0/25Forks — 2 forks
0/15Watchers — 0 watchers
Inputs used
forks2
stars3
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

64Moderate
How it's scored
51.6/80Monthly downloads — 7,380 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesprimr
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,380
unverified_packages_excluded—
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?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

12Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
2.7/13.5Contributor breadth — 2 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.999

Issue & PR responsiveness

78Good
How it's scored
42/42Issue resolution — 100% of issues closed
26/30PR acceptance — 125/144 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Inputs used
merged_prs125
open_issues0
closed_issues1
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio1
closed_unmerged_prs19
first_time_authors_30d—
first_time_prs_merged_30d—
first_time_prs_decided_30d—
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

41Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
4.3/25Owner reach — 3 followers of blisspixel
18.9/25Track record — 8 public repos, account ~8 yr old
Inputs used
followers3
owner_typeUser
is_verified—
owner_loginblisspixel
public_repos8
account_age_days3,202
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 85 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesprimr
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsai-agent, autonomous-research, deep-research, mcp-server, strategic-analysis, anti-bot-scraping, company-due-diligence, claude-skills, openclaw
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

69Good · 16% of overall

Security posture

69Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/29 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.9

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.

81Excellent · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes21,909
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

78Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
11/11Static type checking — mypy.ini, openclaw/skills/primr-research/scripts/tsconfig.json, src/primr/py.typed
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmypy.ini, openclaw/skills/primr-research/scripts/tsconfig.json, src/primr/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (mypy.ini, openclaw/skills/primr-research/scripts/tsconfig.json, src/primr/py.typed)
54.4/55Manageable file sizes — 11/1,076 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes171,286
source_files_sampled1,076
oversized_source_files11

Machine-readable interfaces

100Exceptional
How it's scored
40/40API schema (OpenAPI/GraphQL/proto) — deploy/azure/openapi.yaml
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_filesdeploy/azure/openapi.yaml
interfaces_expected_ofnetwork-service

Key facts

3GitHub stars
2contributors
704commits, last 12 months
0days since last push
88releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-07-19 05:17 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests26 out of 26 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 35
RegistryPackageVersion constraintManifest
PyPIgoogle-genai>=1.55.0pyproject.toml
PyPIopenai>=1.0.0pyproject.toml
PyPIrequests>=2.34.0pyproject.toml
PyPIidna>=3.7pyproject.toml
PyPIbeautifulsoup4>=4.12.0pyproject.toml
PyPIfpdf>=1.7.2pyproject.toml
PyPIpython-docx>=0.8.11pyproject.toml
PyPIpymupdf>=1.23.0pyproject.toml
PyPIpandas>=2.0.0pyproject.toml
PyPIopenpyxl>=3.1.0pyproject.toml
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PyPIrich>=13.0.0pyproject.toml
PyPIpython-dotenv>=1.0.0pyproject.toml
PyPIhttpx>=0.24.0pyproject.toml
PyPIplaywright>=1.40.0pyproject.toml
PyPIpatchright—pyproject.toml
PyPIdocx2pdf>=0.1.8pyproject.toml
PyPIpyyaml>=6.0.0pyproject.toml
PyPIcurl_cffi>=0.5.0pyproject.toml
PyPIDrissionPage>=4.0.0pyproject.toml
PyPIddgs>=9.0.0pyproject.toml
PyPImcp>=1.28.1pyproject.toml
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PyPIpython-multipart>=0.0.31pyproject.toml
PyPImsgpack>=1.2.1pyproject.toml
PyPIpydantic-settings>=2.14.2pyproject.toml
PyPIpillow>=12.3.0pyproject.toml
All dependencies 209

Full resolved dependency set from the GitHub dependency graph: 35 direct and 174 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIdocx2pdf0.1.8direct
PyPIdrissionpage4.1.1.4direct
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PyPIopenpyxl3.1.5direct
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PyPIpython-docx1.2.0direct
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PyPIpyyaml6.0.3direct
PyPIrecon-tool1.9.26direct
PyPIrequests2.34.2direct
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PyPIazure-cosmos—indirect
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PyPIazure-functions—indirect
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PyPIboolean-py5.0indirect
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PyPIurllib32.7.0indirect
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Raw JSON report machine-readable

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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 v2.10.0, schema v0.14.0 — full methodology · metrics wiki.

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