Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 03:45 UTC

bitflight-devops / skilllint

The best platform agnostic Linter for AI agent plugins and skills — validates structure, frontmatter, and token limits for Claude Code, Cursor, Codex, and many others!

Python · JavaScriptMIT★ 7 stars⑂ 0 forkssince Feb 2026View on GitHub ↗
KindCommand-line toolPluginLibraryhow this is determined

bitflight-devops/skilllint holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (39/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

77
overall / 100
Good

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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

BitFlight DevOps - Jamie NelsonOrganization
5 followers21 public repossince May 2021

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIskilllint1.21.49,0689610 days agoagentclaudeclaude-codelinterpluginskillstatic-analysis

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

77Good
How it's scored
36/36Push recency — last push 1 days ago
13.2/36Commit cadence — 19/52 weeks with commits
18/18Commit volume — 596 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_year596
human_commit_share0.9
days_since_last_push1
active_weeks_last_year19

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 97 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~1.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count97
latest_release_tagv1.21.4
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases1.2
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?

39Weak · 17% of overall

Popularity & adoption

13Critical
How it's scored
12.6/60Stars — 7 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars7
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges4
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

66Good
How it's scored
52.8/80Monthly downloads — 9,068 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesskilllint
dependents—
ecosystemspypi
total_downloads—
monthly_downloads9,068
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?

56Moderate · 23% of overall

Maintainer resilience (bus factor)

17Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2/22.5Commit distribution — top contributor authored 91% of commits
2.7/13.5Contributor breadth — 2 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.909

Issue & PR responsiveness

66Good
How it's scored
31.5/42Issue resolution — 75% of issues closed
26.1/30PR acceptance — 207/238 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/25 approved changesets -- score normalized to 0
Inputs used
merged_prs207
open_issues24
closed_issues72
prs_merged_7d0
prs_decided_7d0
prs_merged_30d32
prs_decided_30d34
issue_closed_ratio0.75
closed_unmerged_prs31
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

56Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
5.6/25Owner reach — 5 followers of bitflight-devops
20.7/25Track record — 21 public repos, account ~5 yr old
Inputs used
followers5
owner_typeOrganization
is_verifiedno
owner_loginbitflight-devops
public_repos21
account_age_days1,992

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 10 days ago
20/20Version history — 96 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesskilllint
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

94Exceptional
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
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?

59Moderate · 16% of overall

Security posture

53Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 30 out of 30 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 0/25 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate5.3
Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.

Dependency advisories

85Excellent
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
10.2/25Indirect dependencies free of known advisories — 1 affected: certifi 2026.10.18 (high 7.4)
40/40No advisories left outstanding — no advisory has been public longer than 90 days
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages29
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Matched the pypi:skilllint@1.21.4 runtime dependency closure — what installing the published package pulls in — 29 packages. 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.

71Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — .claude/vendor/CLAUDE.md, .cursor/rules/typing-and-design-standards.mdc, AGENTS.md, CLAUDE.md, packages/skilllint/tests/fixtures/codex/empty/AGENTS.md, packages/skilllint/tests/fixtures/codex/valid/AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 84 of 90 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.933
agent_instruction_files.claude/vendor/CLAUDE.md, .cursor/rules/typing-and-design-standards.mdc, AGENTS.md, CLAUDE.md, packages/skilllint/tests/fixtures/codex/empty/AGENTS.md, packages/skilllint/tests/fixtures/codex/valid/AGENTS.md
agent_instruction_max_bytes16,715

Verify loop (build / test / typecheck)

72Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — packages/skilllint/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 14 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 10 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspackages/skilllint/py.typed
agent_commit_share0.14
toolchain_manifests—
dependency_bot_commit_share0.1

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (packages/skilllint/py.typed)
53.4/55Manageable file sizes — 8/276 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes90,590
source_files_sampled276
oversized_source_files8

Machine-readable interfaces

33At Risk
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
0/40Runnable examples
Inputs used
example_dirs—
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

7GitHub stars
2contributors
596commits, last 12 months
1days since last push
97releases
1bus factor
24open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 5.3 / 10
5.3aggregate

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 · 2026-10-21 03:44 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal 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
10CI-Tests30 out of 30 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 0/25 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
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
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 8
RegistryPackageVersion constraintManifest
PyPIgitpython>=3.2.0pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPImarko>=2.2.4pyproject.toml
PyPImsgspec>=0.22.0pyproject.toml
PyPIpydantic>=2.13.5pyproject.toml
PyPIruamel-yaml>=0.19.1pyproject.toml
PyPItiktoken>=0.14.0pyproject.toml
PyPItyper>=0.27.2pyproject.toml
All dependencies 59

Full resolved dependency set from the GitHub dependency graph: 8 direct and 51 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIgitpython3.2.0direct
PyPIhttpx0.28.1direct
PyPImarko2.2.4direct
PyPImsgspec0.22.0direct
PyPIpydantic2.13.5direct
PyPIruamel-yaml0.19.1direct
PyPItiktoken0.14.0direct
PyPItyper0.27.2direct
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIbeautifulsoup44.15.0indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.5.1indirect
PyPIcolorama0.4.6indirect
PyPIcomrak0.0.16indirect
PyPIcoverage7.16.0indirect
PyPIdocutils0.23indirect
PyPIexecnet2.1.2indirect
PyPIgitdb4.0.12indirect
PyPIh110.16.0indirect
PyPIhatch-vcs0.5.0indirect
PyPIhatchling1.32.4indirect
PyPIhttpcore1.0.9indirect
PyPIhypothesis6.168.3indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImdurl0.1.2indirect
PyPInh30.3.7indirect
PyPIpackaging26.3indirect
PyPIpathspec1.1.1indirect
PyPIpluggy1.6.0indirect
PyPIprek0.5.4indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock3.16.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIreadme-renderer46.0indirect
PyPIregex2026.9.3indirect
PyPIrequests2.34.2indirect
PyPIrich15.0.0indirect
PyPIruff0.16.10indirect
PyPIsetuptools84.0.0indirect
PyPIsetuptools-scm10.2.3indirect
PyPIshellingham1.5.4indirect
PyPIsmmap5.0.3indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.9.2indirect
PyPItomli2.4.1indirect
PyPItomlkit0.15.1indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPIty0.0.84indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.8.0indirect
PyPIvcs-versioning2.3.4indirect
Dependency advisories 1

Installing pypi:skilllint@1.21.4 pulls in 29 packages, direct and transitive: 1 carry known advisories, of which 0 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
certifi2026.10.18indirecthigh22026.10.19

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

Feedback

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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 v0.34.0 — full methodology · metrics wiki.

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