Public record
Software health reportschema 0.17.0 · metrics 2.10.0 · 2026-07-21 04:55 UTC

bskinn / sphobjinv

Toolkit for manipulation and inspection of Sphinx objects.inv files

PythonMIT★ 92 stars⑂ 10 forkssince May 2016View on GitHub ↗

bskinn/sphobjinv holds a health index of 69 out of 100, placing it in the Good band. It scores highest on Engineering Quality (88/100) and lowest on AI Readiness (43/100). It was last updated 119 days ago. A single contributor accounts for most of its recent work.

69
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.

69
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 62 is calibrated to 69 on the published index scale (record calibration 2026-08-02).

Ownership

Brian SkinnPersonal account
144 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
PyPIsphobjinv2.4-20119 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 recencylast push 119 days ago
4.8/36Commit cadence7/52 weeks with commits
18/18Commit volume122 commits in the last year
0/10OpenSSF Scorecard: Maintainedno data
Inputs used
commits_last_year122
human_commit_share
days_since_last_push119
active_weeks_last_year7
How it's scored
27/27Ships releases20 releases published
27/36Release recencylatest release 119 days ago
12.6/27Release cadencea release every ~172.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count20
latest_release_tagv2.4
releases_from_tagsno
days_since_latest_release119
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
31.8/60Stars92 stars
8/25Forks10 forks
2.7/15Watchers4 watchers
Inputs used
forks10
stars92
watchers4
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges
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 factor1 contributor(s) cover half of all commits
0.2/22.5Commit distributiontop contributor authored 99% of commits
10.8/13.5Contributor breadth8 contributors
0/10OpenSSF Scorecard: Contributorsno data
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.99
How it's scored
29.2/42Issue resolution70% of issues closed
26.4/30PR acceptance89/101 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Reviewno data
Inputs used
merged_prs89
open_issues72
closed_issues165
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.696
closed_unmerged_prs12
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.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
15.5/25Owner reach144 followers of bskinn
24.9/25Track record58 public repos, account ~11 yr old
Inputs used
followers144
owner_typeUser
is_verified
owner_loginbskinn
public_repos58
account_age_days4,156
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 119 days ago
20/20Version history20 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagessphobjinv
ecosystemspypi
any_deprecatedno
min_days_since_publish119

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows11 workflow(s)
24/24Tests present
16/16Linter configtox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Testsno 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 sitehttps://sphobjinv.readthedocs.io
10/10Repository description
10/10Topics6 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?

52Moderate · 16% of overall
How it's scored
30/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfilespublished library — lockfiles are an application concern, not expected
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
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno 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.

43Weak · 4% of overall
How it's scored
0/45Agent instructionsno CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit historyno data
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrapdoc/Makefile
22/22Automated tests
11/11Lint / format configtox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practiceno data
0/8Automated maintenanceno data
0/10OpenSSF Scorecard: Pinned-Dependenciesno data
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesdoc/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configs
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.
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/42 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes22,055
source_files_sampled42
oversized_source_files0

Key facts

92GitHub stars
8contributors
122commits, last 12 months
119days since last push
20releases
1bus factor
72open issues
PyPIpackage ecosystems

Data collection warnings

  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 92 ★ / 0 ⇿
92Stars

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.

0204060801009232016-082021-072026-07

Each point covers 10 days.

Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIattrs>=19.2pyproject.toml
PyPIcertifipyproject.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
PyPIattrsdirect
PyPIcertifidirect
PyPIjsonschemadirect
PyPIcoloramaindirect
PyPIcoverageindirect
PyPIdictdifferindirect
PyPIflake8indirect
PyPIflake8-2020indirect
PyPIflake8-absolute-importindirect
PyPIflake8-banditindirect
PyPIflake8-blackindirect
PyPIflake8-bugbearindirect
PyPIflake8-builtinsindirect
PyPIflake8-comprehensionsindirect
PyPIflake8-docstringsindirect
PyPIflake8-eradicateindirect
PyPIflake8-implicit-str-concatindirect
PyPIflake8-isortindirect
PyPIflake8-pieindirect
PyPIflake8-raiseindirect
PyPIflake8-rst-docstringsindirect
PyPIinterrogateindirect
PyPImd-tocindirect
PyPIpep8-namingindirect
PyPIpytestindirect
PyPIpytest-checkindirect
PyPIpytest-covindirect
PyPIpytest-retryindirect
PyPIpytest-timeoutindirect
PyPIrestviewindirect
PyPIsphinx8.1.3indirect
PyPIsphinx-autobuildindirect
PyPIsphinx-issuesindirect
PyPIsphinx-rtd-themeindirect
PyPIsphinxcontrib-programoutputindirect
PyPIstdio-mgrindirect
PyPItoxindirect
PyPItwineindirect
PyPIwheelindirect
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 v0.17.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.