Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-03 04:54 UTC

agentrust-io / trace-tests

TRACE compliance test suite. Conformance tests for TRACE Certification.

PythonApache-2.0★ 4 stars⑂ 7 forkssince Jun 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

agentrust-io/trace-tests holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (52/100). It was last updated today. A single contributor accounts for most of its recent work.

87
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.

87
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 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).

Ownership

AgenTrustOrganization
92 followers14 public repossince Jun 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIagentrust-trace-tests0.6.111,88196 days agoai-agentsattestationconformanceprovenancetrace

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

76Good
How it's scored
36/36Push recency — last push 0 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 137 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year137
human_commit_share0.69
days_since_last_push0
active_weeks_last_year18

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 9 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~13.3 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count9
latest_release_tagv0.6.1
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases13.3
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

52Moderate · 17% of overall

Popularity & adoption

14Critical
How it's scored
7.7/60Stars — 4 stars
6.5/25Forks — 7 forks
0/15Watchers — 0 watchers
Inputs used
forks7
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges6
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesgithub.com, shields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

68Good
How it's scored
54.3/80Monthly downloads — 11,881 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesagentrust-trace-tests
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,881
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?

64Moderate · 23% of overall

Maintainer resilience (bus factor)

34At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
4.6/22.5Commit distribution — top contributor authored 80% of commits
10.8/13.5Contributor breadth — 8 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled8
top_contributor_share0.796

Issue & PR responsiveness

82Excellent
How it's scored
42/42Issue resolution — 100% of issues closed
28.8/30PR acceptance — 121/126 decided PRs merged
8.7/13Newcomer PR acceptance — 2/3 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 4/17 approved changesets -- score normalized to 2
Inputs used
merged_prs121
open_issues0
closed_issues12
prs_merged_7d4
prs_decided_7d5
prs_merged_30d22
prs_decided_30d23
issue_closed_ratio1
closed_unmerged_prs5
first_time_authors_30d2
first_time_prs_merged_30d2
first_time_prs_decided_30d3

Ownership & stewardship

53Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14.2/25Owner reach — 92 followers of agentrust-io
9.2/25Track record — 14 public repos, account ~0 yr old
Inputs used
followers92
owner_typeOrganization
is_verifiedno
owner_loginagentrust-io
public_repos14
account_age_days121

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 9 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesagentrust-trace-tests
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 10 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 — 28 out of 28 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

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/agentrust-io/trace-tests#readme
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_sitehttps://github.com/agentrust-io/trace-tests#readme
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

84Excellent · 16% of overall

Security posture

80Excellent
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 28 out of 28 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
1.5/7.5Code-Review — Found 4/17 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 4 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 8 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate8
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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_packages10
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:agentrust-trace-tests@0.6.1 runtime dependency closure — what installing the published package pulls in — 10 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.

56Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 67 of 69 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.971
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

69Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 42 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 31 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0.42
toolchain_manifests—
dependency_bot_commit_share0.31

Code legibility for models

55Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/66 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes58,873
source_files_sampled66
oversized_source_files0

Key facts

4GitHub stars
8contributors
137commits, last 12 months
0days since last push
9releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 7 ⇿
0Stars
7Forks
8Releases

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.

1234567712026-062026-082026-10
Major 0Minor 5Patch 3
OpenSSF Scorecard 8.0 / 10
8.0aggregate

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 · 2026-10-03 04:53 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
2Code-ReviewFound 4/17 approved changesets -- score normalized to 2
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 8 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIclick>=8.1pyproject.toml
PyPIcryptography>=42pyproject.toml
PyPIjsonschema>=4.23pyproject.toml
PyPIrfc8785>=0.1.2pyproject.toml
All dependencies 77

Full resolved dependency set from the GitHub dependency graph: 8 direct and 69 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIclick—direct
PyPIclick8.5.0direct
PyPIcryptography—direct
PyPIcryptography50.0.1direct
PyPIjsonschema—direct
PyPIjsonschema4.26.0direct
PyPIrfc8785—direct
PyPIrfc87850.1.4direct
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackrefs8.0indirect
PyPIbeautifulsoup44.15.0indirect
PyPIbuild1.6.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIcsscompressor0.9.5indirect
PyPIghp-import2.1.0indirect
PyPIgriffe—indirect
PyPIgriffe2.3.0indirect
PyPIgriffecli2.3.0indirect
PyPIgriffelib2.3.0indirect
PyPIhtmlmin20.1.13indirect
PyPIidna3.20indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjsmin3.0.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImarkdown3.10.3indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdownify1.2.3indirect
PyPImarkupsafe3.0.3indirect
PyPImdformat0.7.22indirect
PyPImdformat-tables1.0.0indirect
PyPImdurl0.1.2indirect
PyPImergedeep1.3.4indirect
PyPImkdocs—indirect
PyPImkdocs1.6.1indirect
PyPImkdocs-autorefs1.4.4indirect
PyPImkdocs-get-deps0.2.2indirect
PyPImkdocs-llmstxt—indirect
PyPImkdocs-llmstxt0.5.0indirect
PyPImkdocs-material—indirect
PyPImkdocs-material9.7.7indirect
PyPImkdocs-material-extensions1.3.1indirect
PyPImkdocs-minify-plugin—indirect
PyPImkdocs-minify-plugin0.8.0indirect
PyPImkdocstrings—indirect
PyPImkdocstrings1.0.6indirect
PyPImkdocstrings-python2.0.8indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIplatformdirs4.11.10indirect
PyPIpluggy1.6.0indirect
PyPIpycparser3.0indirect
PyPIpygments2.21.0indirect
PyPIpymdown-extensions—indirect
PyPIpymdown-extensions11.0.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrpds-py2026.6.3indirect
PyPIsix1.17.0indirect
PyPIsoupsieve2.9.2indirect
PyPItyping-extensions4.16.0indirect
PyPIurllib32.8.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcwidth0.8.4indirect
Dependency advisories 0

Installing pypi:agentrust-trace-tests@0.6.1 pulls in 10 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

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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.