Public record
Software health reportschema 0.15.0 · metrics 2.10.0 · 2026-07-19 10:08 UTC

thegeeklab / git-batch

Automate cloning a single branch from a list of repositories

PythonMIT★ 4 stars⑂ 0 forkssince Nov 2019View on GitHub ↗
KindLibraryhow this is determined
#git#automation#python

thegeeklab/git-batch holds a health index of 65 out of 100, placing it in the Good band. It scores highest on Vitality (95/100) and lowest on AI Readiness (31/100). It was last updated 2 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

GeeklabOrganization
18 followers46 public repossince Jul 2020

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIgit-batch5.1.95528029 days agogitbatchautomation

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

99Exceptional
How it's scored
36/36Push recency — last push 2 days ago
34.6/36Commit cadence — 50/52 weeks with commits
18/18Commit volume — 145 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_year145
human_commit_share—
days_since_last_push2
active_weeks_last_year50

Release discipline

90Excellent
How it's scored
27/27Ships releases — 80 releases published
36/36Release recency — latest release 29 days ago
27/27Release cadence — a release every ~23.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count80
latest_release_tagv5.1.9
releases_from_tagsno
days_since_latest_release29
mean_days_between_releases23.5

Community & Adoption

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

39Weak · 17% of overall

Popularity & adoption

8Critical
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

46Weak
How it's scored
36.6/80Monthly downloads — 552 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesgit-batch
dependents—
ecosystemspypi
total_downloads—
monthly_downloads552
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?

65Good · 23% of overall

Maintainer resilience (bus factor)

30At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.8/22.5Commit distribution — top contributor authored 70% of commits
4.1/13.5Contributor breadth — 3 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.7

Issue & PR responsiveness

66Good
How it's scored
28/42Issue resolution — 67% of issues closed
29.3/30PR acceptance — 635/651 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_prs635
open_issues1
closed_issues2
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.667
closed_unmerged_prs16
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.

Ownership & stewardship

79Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
9.2/25Owner reach — 18 followers of thegeeklab
24.2/25Track record — 46 public repos, account ~6 yr old
Inputs used
followers18
owner_typeOrganization
is_verified—
owner_loginthegeeklab
public_repos46
account_age_days2,192
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 29 days ago
20/20Version history — 80 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgit-batch
ecosystemspypi
any_deprecatedno
min_days_since_publish29

Engineering Quality

Are baseline engineering and documentation practices in place?

46Weak · 19% of overall

Engineering practices

44Weak
How it's scored
0/24CI workflows
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 27 out of 27 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_cino
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics — 3 topics
0/10Wiki
Inputs used
topicsgit, automation, python
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?

54Moderate · 16% of overall

Security posture

54Moderate
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 — 27 out of 27 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 4 contributing companies or organizations
0/10Dangerous-Workflow — no data
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 — no data
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate5.4
Excluded from scoring (no data or not applicable): Branch-Protection, Dangerous-Workflow, Packaging, Pinned-Dependencies, Token-Permissions. Remaining weights renormalized.

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.

31At Risk · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no 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.

Verify loop (build / test / typecheck)

44Weak
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance, OpenSSF Scorecard: Pinned-Dependencies. Remaining weights renormalized.

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/7 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes7,044
source_files_sampled7
oversized_source_files0

Key facts

4GitHub stars
3contributors
145commits, last 12 months
2days since last push
80releases
1bus factor
1open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 5.4 / 10
5.4aggregate

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 · 2026-07-19 10:08 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-Tests27 out of 27 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 4 contributing companies or organizations
n/aDangerous-Workflowno workflows found
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
n/aPinned-Dependenciesno dependencies found
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIGitPython3.1.52pyproject.toml
PyPIcolorama0.4.6pyproject.toml
PyPIpython-json-logger4.1.0pyproject.toml
All dependencies 38

Full resolved dependency set from the GitHub dependency graph: 3 direct and 35 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcolorama0.4.6direct
PyPIgitpython3.1.52direct
PyPIpython-json-logger4.1.0direct
PyPIast-serialize0.6.0indirect
PyPIbandit—indirect
PyPIcoverage7.14.1indirect
PyPIflake8—indirect
PyPIflake8-blind-except—indirect
PyPIflake8-builtins—indirect
PyPIflake8-colors—indirect
PyPIflake8-docstrings—indirect
PyPIflake8-isort—indirect
PyPIflake8-logging-format—indirect
PyPIflake8-polyfill—indirect
PyPIflake8-quotes—indirect
PyPIgitdb4.0.12indirect
PyPIiniconfig2.3.0indirect
PyPIlibrt0.13.0indirect
PyPImypy2.3.0indirect
PyPImypy-extensions1.1.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIpep8-naming—indirect
PyPIpluggy1.6.0indirect
PyPIpydocstyle—indirect
PyPIpygments2.20.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-mock—indirect
PyPIpytest-mock3.15.1indirect
PyPIruff0.15.21indirect
PyPIsmmap5.0.3indirect
PyPItoml0.10.2indirect
PyPItypes-colorama0.4.15.20260508indirect
PyPItyping-extensions4.15.0indirect
PyPIwheel—indirect
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 v0.15.0 — full methodology · metrics wiki.

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