Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-12 10:59 UTC

bskinn / sphobjinv

Toolkit for manipulation and inspection of Sphinx objects.inv files

PythonMIT★ 91 stars⑂ 10 forkssince May 2016View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

bskinn/sphobjinv holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on AI Readiness (38/100). It was last updated 173 days ago. A single contributor accounts for most of its recent work.

65
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.

65
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 60 is calibrated to 65 on the published index scale (record calibration 2026-08-02).

Ownership

Brian SkinnPersonal account
143 followers58 public repossince Mar 2015Radial R&D

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
PyPIsphobjinv2.4-20173 days agosphinxsphinx-docinventorymanagerinspector

Metrics by category

Vitality

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

51Moderate · 21% of overall
How it's scored
9.9/36Push recency — last push 173 days ago
4.8/36Commit cadence — 7/52 weeks with commits
18/18Commit volume — 122 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year122
human_commit_share1
days_since_last_push173
active_weeks_last_year7
How it's scored
27/27Ships releases — 20 releases published
27/36Release recency — latest release 173 days ago
12.6/27Release cadence — a release every ~172.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count20
latest_release_tagv2.4
releases_from_tagsno
days_since_latest_release173
mean_days_between_releases172.3

Community & Adoption

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

58Moderate · 17% of overall
How it's scored
31.7/60Stars — 91 stars
8/25Forks — 10 forks
2.7/15Watchers — 4 watchers
Inputs used
forks10
stars91
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

62Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.2/22.5Commit distribution — top contributor authored 99% of commits
10.8/13.5Contributor breadth — 8 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.99
How it's scored
29.2/42Issue resolution — 70% of issues closed
26.4/30PR acceptance — 89/101 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs89
open_issues72
closed_issues165
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.696
closed_unmerged_prs12
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.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.5/25Owner reach — 143 followers of bskinn
24.9/25Track record — 58 public repos, account ~11 yr old
Inputs used
followers143
owner_typeUser
is_verified—
owner_loginbskinn
public_repos58
account_age_days4,209
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 173 days ago
20/20Version history — 20 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagessphobjinv
ecosystemspypi
any_deprecatedno
min_days_since_publish173

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.black], [tool.isort]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://sphobjinv.readthedocs.io
10/10Repository description
10/10Topics — 6 topics
10/10Wiki
Inputs used
topicspython, sphinx, sphinx-doc, inventory, inspector, manager
has_wikiyes
homepagehttps://sphobjinv.readthedocs.io
docs_sitehttps://sphobjinv.readthedocs.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

44Weak · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspyproject.toml, requirements-ci.txt, requirements-dev.txt, requirements-flake8.txt, requirements-interrogate.txt, requirements-rtd.txt, setup.py
has_codeql_workflowno
has_security_policyyes
has_dependabot_configno

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_packages6
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:sphobjinv@2.4 runtime dependency closure — what installing the published package pulls in — 6 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.

38Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
5.3/40Legible commit history — 10 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.1
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
18/18One-command bootstrap — doc/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.black], [tool.isort]), tox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/42 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes22,055
source_files_sampled42
oversized_source_files0

Key facts

91GitHub stars
8contributors
122commits, last 12 months
173days since last push
20releases
1bus factor
72open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-10: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 91 stars today.
  • pypi download statistics for 'sphobjinv' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 92 ★ / 10 ⇿
92Stars
10Forks
19Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

Star history is shown as collected on 2026-07-10. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

020406080100921032016-082021-072026-07
Major 0Minor 0Patch 4

Each point covers 10 days.

Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIattrs>=19.2pyproject.toml
PyPIcertifi—pyproject.toml
PyPIjsonschema>=3.1.1pyproject.toml
All dependencies 39

Full resolved dependency set from the GitHub dependency graph: 3 direct and 36 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIattrs—direct
PyPIcertifi—direct
PyPIjsonschema—direct
PyPIcolorama—indirect
PyPIcoverage—indirect
PyPIdictdiffer—indirect
PyPIflake8—indirect
PyPIflake8-2020—indirect
PyPIflake8-absolute-import—indirect
PyPIflake8-bandit—indirect
PyPIflake8-black—indirect
PyPIflake8-bugbear—indirect
PyPIflake8-builtins—indirect
PyPIflake8-comprehensions—indirect
PyPIflake8-docstrings—indirect
PyPIflake8-eradicate—indirect
PyPIflake8-implicit-str-concat—indirect
PyPIflake8-isort—indirect
PyPIflake8-pie—indirect
PyPIflake8-raise—indirect
PyPIflake8-rst-docstrings—indirect
PyPIinterrogate—indirect
PyPImd-toc—indirect
PyPIpep8-naming—indirect
PyPIpytest—indirect
PyPIpytest-check—indirect
PyPIpytest-cov—indirect
PyPIpytest-retry—indirect
PyPIpytest-timeout—indirect
PyPIrestview—indirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autobuild—indirect
PyPIsphinx-issues—indirect
PyPIsphinx-rtd-theme—indirect
PyPIsphinxcontrib-programoutput—indirect
PyPIstdio-mgr—indirect
PyPItox—indirect
PyPItwine—indirect
PyPIwheel—indirect
Dependency advisories 0

Installing pypi:sphobjinv@2.4 pulls in 6 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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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.