Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 07:17 UTC

HomericIntelligence / Hephaestus

ProjectHephaestus provides shared utilities, helper scripts, and foundational tools used across the HomericIntelligence ecosystem. Inspired by the god of craftsmanship, it forges the core components that support, streamline, and unify development across all projects.

PythonBSD-3-Clause★ 7 stars⑂ 1 forksince Dec 2025View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

HomericIntelligence/Hephaestus holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (52/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

HomericIntelligenceOrganization
10 followers17 public repossince Dec 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIHomericIntelligence-Hephaestus0.10.72,625188 days agohelpershomericintelligencetoolingutilities

Metrics by category

Vitality

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

87Excellent · 21% of overall

Development activity

85Excellent
How it's scored
36/36Push recency — last push 0 days ago
20.8/36Commit cadence — 30/52 weeks with commits
18/18Commit volume — 1,602 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_year1,602
human_commit_share1
days_since_last_push0
active_weeks_last_year30

Release discipline

90Excellent
How it's scored
27/27Ships releases — 20 releases published
36/36Release recency — latest release 8 days ago
27/27Release cadence — a release every ~9.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count20
latest_release_tagv0.10.7
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases9.5

Community & Adoption

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

52Moderate · 17% of overall

Popularity & adoption

13Critical
How it's scored
12.6/60Stars — 7 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars7
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 (BSD-3-Clause)
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_badges7
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

57Moderate
How it's scored
45.6/80Monthly downloads — 2,625 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesHomericIntelligence-Hephaestus
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,625
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?

55Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
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
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

77Good
How it's scored
40.2/42Issue resolution — 96% of issues closed
26.8/30PR acceptance — 1,505/1,682 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs1,505
open_issues71
closed_issues1,536
prs_merged_7d53
prs_decided_7d60
prs_merged_30d53
prs_decided_30d60
issue_closed_ratio0.956
closed_unmerged_prs177
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

48Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
7.5/25Owner reach — 10 followers of HomericIntelligence
10.7/25Track record — 17 public repos, account ~0 yr old
Inputs used
followers10
owner_typeOrganization
is_verifiedno
owner_loginHomericIntelligence
public_repos17
account_age_days279

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 8 days ago
20/20Version history — 18 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesHomericIntelligence-Hephaestus
ecosystemspypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

100Exceptional
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
6.4/6.4.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_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://homericintelligence.github.io/Hephaestus/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://homericintelligence.github.io/Hephaestus/
docs_sitehttps://homericintelligence.github.io/Hephaestus/
has_readmeyes
has_docs_diryes
has_descriptionyes

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
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
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 0/30 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
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file 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
6/7.5Vulnerabilities — 2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.2

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_packages4
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:HomericIntelligence-Hephaestus@0.10.7 runtime dependency closure — what installing the published package pulls in — 4 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.

76Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 100 of 100 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, CLAUDE.md
agent_instruction_max_bytes47,099

Verify loop (build / test / typecheck)

84Excellent
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — hephaestus/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configshephaestus/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (hephaestus/py.typed)
52.6/55Manageable file sizes — 41/922 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,017,016
source_files_sampled922
oversized_source_files41

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
1contributors
1,602commits, last 12 months
0days since last push
20releases
1bus factor
71open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

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 · 2026-09-18 07:17 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
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 0/30 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
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIJinja2>=3.1,<4pyproject.toml
PyPIpackaging>=21.0,<27pyproject.toml
PyPIpyyaml>=6.0,<7pyproject.toml
PyPItzdata>=2026.2,<2027pyproject.toml
All dependencies 117

Full resolved dependency set from the GitHub dependency graph: 6 direct and 111 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjinja23.1.6direct
PyPIpackaging—direct
PyPIpackaging26.3direct
PyPIpyyaml—direct
PyPIpyyaml6.0.3direct
PyPItzdata2026.3direct
PyPIannotated-types0.7.0indirect
PyPIast-serialize0.6.0indirect
PyPIattrs26.1.0indirect
PyPIbandit1.9.4indirect
PyPIboolean-py5.0indirect
PyPIbuild—indirect
PyPIbuild1.5.0indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.1indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.7indirect
PyPIcheck-jsonschema0.38.0indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.14.1indirect
PyPIcryptography50.0.1indirect
PyPIcyclonedx-python-lib11.11.0indirect
PyPIdefusedxml—indirect
PyPIdefusedxml0.7.1indirect
PyPIdistlib0.4.3indirect
PyPIdnspython2.8.0indirect
PyPIemail-validator2.3.0indirect
PyPIexecnet2.1.2indirect
PyPIfilelock3.29.4indirect
PyPIhatch-vcs—indirect
PyPIhatch-vcs0.5.0indirect
PyPIhatchling—indirect
PyPIhatchling1.32.0indirect
PyPIhypothesis6.165.10indirect
PyPIid1.6.1indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjsonschema—indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlibrt0.13.0indirect
PyPIlicense-expression30.4.4indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkdown22.5.5indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImsgpack1.2.1indirect
PyPImypy—indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInats-py—indirect
PyPInats-py2.15.0indirect
PyPInodeenv1.10.0indirect
PyPIpackageurl-python0.17.6indirect
PyPIpathspec1.1.1indirect
PyPIpdoc16.0.0indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.34indirect
PyPIpip-audit—indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit—indirect
PyPIpre-commit4.6.2indirect
PyPIpy-serializable2.1.0indirect
PyPIpyasn10.6.4indirect
PyPIpycparser3.0indirect
PyPIpydantic—indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygithub—indirect
PyPIpygments2.20.0indirect
PyPIpyjwt2.13.0indirect
PyPIpyopenssl26.4.0indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-watcher0.6.3indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.4.2indirect
PyPIreferencing0.37.0indirect
PyPIregress2025.10.1indirect
PyPIrequests2.34.2indirect
PyPIrfc3161-client1.0.8indirect
PyPIrfc87850.1.4indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.5.1indirect
PyPIruamel-yaml0.19.1indirect
PyPIruff—indirect
PyPIruff0.16.4indirect
PyPIsecuresystemslib1.5.1indirect
PyPIsetuptools83.0.0indirect
PyPIsetuptools-scm10.2.0indirect
PyPIsigstore4.5.0indirect
PyPIsigstore-models0.0.6indirect
PyPIsigstore-rekor-types0.0.18indirect
PyPIsortedcontainers2.4.0indirect
PyPIstevedore5.9.0indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItomlkit0.15.1indirect
PyPItrove-classifiers2026.6.1.19indirect
PyPItuf7.0.1indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvcs-versioning2.2.2indirect
PyPIvirtualenv21.5.1indirect
PyPIwatchdog6.0.0indirect
PyPIzizmor1.29.0indirect
Dependency advisories 0

Installing pypi:HomericIntelligence-Hephaestus@0.10.7 pulls in 4 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.