Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-08 23:51 UTC

wpfleger96 / ai-agent-rules

Manage configs for Claude Code, Codex, Gemini CLI, Goose, and Amp from one repo — symlinks, merge pipeline, profile inheritance, cross-machine sync

PythonMIT★ 9 stars⑂ 0 forkssince Aug 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#python#ai#llm#claude-code#coding-agents

wpfleger96/ai-agent-rules holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (92/100) and lowest on Community & Adoption (39/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Will PflegerPersonal account
139 followers43 public repossince Oct 2015

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
PyPIai-agent-rules0.76.95,9772224 days agoaiclicodexconfigurationclaudegoosellmagent

Metrics by category

Vitality

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

92Excellent · 21% of overall

Development activity

93Exceptional
How it's scored
36/36Push recency — last push 4 days ago
29.1/36Commit cadence — 42/52 weeks with commits
18/18Commit volume — 733 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_year733
human_commit_share0.35
days_since_last_push4
active_weeks_last_year42

Release discipline

90Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~2.6 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.76.9
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases2.6

Community & Adoption

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

39Weak · 17% of overall

Popularity & adoption

15Critical
How it's scored
14.6/60Stars — 9 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars9
watchers1
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_badges6
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

63Moderate
How it's scored
50.4/80Monthly downloads — 5,977 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesai-agent-rules
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,977
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)

22At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.5/22.5Commit distribution — top contributor authored 98% of commits
2.7/13.5Contributor breadth — 2 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.976

Issue & PR responsiveness

57Moderate
How it's scored
21/42Issue resolution — 50% of issues closed
28.6/30PR acceptance — 225/236 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/12 approved changesets -- score normalized to 0
Inputs used
merged_prs225
open_issues1
closed_issues1
prs_merged_7d0
prs_decided_7d0
prs_merged_30d4
prs_decided_30d4
issue_closed_ratio0.5
closed_unmerged_prs11
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

62Moderate
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.4/25Owner reach — 139 followers of wpfleger96
24/25Track record — 43 public repos, account ~10 yr old
Inputs used
followers139
owner_typeUser
is_verified—
owner_loginwpfleger96
public_repos43
account_age_days3,967
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 4 days ago
20/20Version history — 222 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesai-agent-rules
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

74Good · 19% of overall

Engineering practices

90Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 5 topics
0/10Wiki
Inputs used
topicspython, ai, llm, claude-code, coding-agents
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

68Good · 16% of overall

Security posture

60Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 22 out of 22 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 0/12 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages10
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:ai-agent-rules@0.76.9 runtime dependency closure — what installing the published package pulls in — 10 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.

73Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, src/ai_rules/config/AGENTS.md, src/ai_rules/config/amp/AGENTS.md, src/ai_rules/config/claude/CLAUDE.md, src/ai_rules/config/codex/AGENTS.md, src/ai_rules/config/gemini/GEMINI.md, src/ai_rules/config/goose/.goosehints
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 35 of 35 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md, src/ai_rules/config/AGENTS.md, src/ai_rules/config/amp/AGENTS.md, src/ai_rules/config/claude/CLAUDE.md, src/ai_rules/config/codex/AGENTS.md, src/ai_rules/config/gemini/GEMINI.md, src/ai_rules/config/goose/.goosehints
agent_instruction_max_bytes16,119

Verify loop (build / test / typecheck)

71Good
How it's scored
18/18One-command bootstrap — Justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 21 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_filesJustfile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.21

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.6/55Manageable file sizes — 1/128 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes75,138
source_files_sampled128
oversized_source_files1

Key facts

9GitHub stars
2contributors
733commits, last 12 months
4days since last push
100releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'ai-agent-rules' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for ai-agent-rules carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 6.0 / 10
6.0aggregate

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 · 2026-09-08 23:51 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests22 out of 22 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 0/12 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
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
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 7
RegistryPackageVersion constraintManifest
PyPIclick>=8.1pyproject.toml
PyPIpackaging>=21.0pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
PyPIrich>=13.0pyproject.toml
PyPIshellingham>=1.0,<2pyproject.toml
PyPItomli-w>=1.0.0pyproject.toml
PyPItomlkit>=0.12.0pyproject.toml
All dependencies 44

Full resolved dependency set from the GitHub dependency graph: 13 direct and 31 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick—direct
PyPIclick8.5.0direct
PyPIpackaging—direct
PyPIpackaging26.3direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPIrich—direct
PyPIrich15.0.0direct
PyPIshellingham1.5.4direct
PyPItomli-w—direct
PyPItomli-w1.2.0direct
PyPItomlkit—direct
PyPItomlkit0.15.1direct
PyPIai-agent-rules0.76.9indirect
PyPIast-serialize0.9.0indirect
PyPIattrs26.1.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIexecnet2.1.2indirect
PyPIhatch—indirect
PyPIiniconfig2.3.0indirect
PyPIjsonschema—indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlibrt0.15.0indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImypy—indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPIpathspec1.1.1indirect
PyPIpluggy1.6.0indirect
PyPIpygments2.21.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIreferencing0.37.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff—indirect
PyPIruff0.16.5indirect
PyPItyping-extensions4.16.0indirect
Dependency advisories 0

Installing pypi:ai-agent-rules@0.76.9 pulls in 10 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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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.