Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-22 10:13 UTC

minitap-ai / minitest-cli

Command-line interface for the Minitest testing platform

PythonNo license detected★ 1 star⑂ 0 forkssince Mar 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

minitap-ai/minitest-cli holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (23/100). It was last updated today. A single contributor accounts for most of its recent work.

67
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.

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

Ownership

minitap.aiOrganization
68 followers12 public repossince Jun 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIminitest-cli0.39.02,421650 days agoautomationcliminitapminitestqatesting

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

83Excellent
How it's scored
36/36Push recency — last push 0 days ago
19.4/36Commit cadence — 28/52 weeks with commits
18/18Commit volume — 327 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_year327
human_commit_share1
days_since_last_push0
active_weeks_last_year28

Release discipline

90Excellent
How it's scored
27/27Ships releases — 65 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count65
latest_release_tagv0.39.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1.5

Community & Adoption

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

23At Risk · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 1 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars1
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

25At Risk
How it's scored
22.5/22.5README
0/22.5License — no license file detected
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
45.1/80Monthly downloads — 2,421 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesminitest-cli
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,421
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?

53Moderate · 23% of overall

Maintainer resilience (bus factor)

36Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
11.2/22.5Commit distribution — top contributor authored 50% of commits
5.4/13.5Contributor breadth — 4 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.503

Issue & PR responsiveness

34At Risk
How it's scored
0/42Issue resolution — 0% of issues closed
27.7/30PR acceptance — 121/131 decided PRs merged
6.5/13Newcomer PR acceptance — 1/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/23 approved changesets -- score normalized to 0
Inputs used
merged_prs121
open_issues1
closed_issues0
prs_merged_7d13
prs_decided_7d13
prs_merged_30d35
prs_decided_30d37
issue_closed_ratio0
closed_unmerged_prs10
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d2

Ownership & stewardship

54Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
13.2/25Owner reach — 68 followers of minitap-ai
10.8/25Track record — 12 public repos, account ~1 yr old
Inputs used
followers68
owner_typeOrganization
is_verifiedno
owner_loginminitap-ai
public_repos12
account_age_days485

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 65 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesminitest-cli
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 17 out of 17 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://minitap.ai/
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://minitap.ai/
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

61Moderate · 16% of overall

Security posture

51Moderate
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 17 out of 17 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 0/23 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
0/2.5License — license file not 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
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
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 — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.1

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories2
affected_packages1
assessed_packages30
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 30 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

74Good · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 99 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.99
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes3,526

Verify loop (build / test / typecheck)

62Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — pyrightconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configspyrightconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (pyrightconfig.json)
55/55Manageable file sizes — 0/227 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes52,651
source_files_sampled227
oversized_source_files0

Key facts

1GitHub stars
4contributors
327commits, last 12 months
0days since last push
65releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:minitest-cli@0.39.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 5.1 / 10
5.1aggregate

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 · 2026-10-22 10:12 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests17 out of 17 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 0/23 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
0Licenselicense file not detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
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.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 5
RegistryPackageVersion constraintManifest
PyPItyper>=0.24.1pyproject.toml
PyPIhttpx>=0.28.1pyproject.toml
PyPIpydantic>=2.12.5pyproject.toml
PyPIpydantic-settings>=2.13.1pyproject.toml
PyPIrich>=14.3.3pyproject.toml
All dependencies 30

Full resolved dependency set from the GitHub dependency graph: 5 direct and 25 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIhttpx0.28.1direct
PyPIpydantic2.12.5direct
PyPIpydantic-settings2.14.2direct
PyPIrich14.3.3direct
PyPItyper0.24.1direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIcertifi2026.2.25indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIidna3.15indirect
PyPIiniconfig2.3.0indirect
PyPImarkdown-it-py4.0.0indirect
PyPImdurl0.1.2indirect
PyPIminitest-cli0.39.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.0indirect
PyPIpluggy1.6.0indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.20.0indirect
PyPIpyright1.1.408indirect
PyPIpytest9.0.3indirect
PyPIpython-dotenv1.2.2indirect
PyPIruff0.15.6indirect
PyPIshellingham1.5.4indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 30 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
certifi2026.2.25indirecthigh22026.10.19

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.

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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.