Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 21:42 UTC

agentrust-io / agent-manifest

Agent Manifest SDK. Hardware-anchors all 10 artifacts defining an agent at deployment. Python and TypeScript.

PythonApache-2.0★ 19 stars⑂ 19 forkssince Jun 2026View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

agentrust-io/agent-manifest holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Vitality (80/100) and lowest on AI Readiness (59/100). It was last updated today. A single contributor accounts for most of its recent work.

84
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.

84
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 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

AgenTrustOrganization
88 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
PyPIagent-manifest0.12.04,734189 days agoagent-manifestai-agentsattestationconfidential-computinggovernancehardware-attestationmcppydanticteetrust

Metrics by category

Vitality

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

80Excellent · 21% of overall

Development activity

74Good
How it's scored
36/36Push recency — last push 0 days ago
10.4/36Commit cadence — 15/52 weeks with commits
18/18Commit volume — 399 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year399
human_commit_share0.99
days_since_last_push0
active_weeks_last_year15

Release discipline

90Excellent
How it's scored
27/27Ships releases — 17 releases published
36/36Release recency — latest release 9 days ago
27/27Release cadence — a release every ~4.5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count17
latest_release_tagpython-v0.12.0
releases_from_tagsno
days_since_latest_release9
mean_days_between_releases4.5

Community & Adoption

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

60Moderate · 17% of overall

Popularity & adoption

31At Risk
How it's scored
20.4/60Stars — 19 stars
10.5/25Forks — 19 forks
0/15Watchers — 2 watchers
Inputs used
forks19
stars19
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
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
6.3/6.3PR 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_templateyes

Ecosystem adoption (downloads)

61Moderate
How it's scored
49/80Monthly downloads — 4,734 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesagent-manifest
dependents—
ecosystemspypi
total_downloads—
monthly_downloads4,734
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)

35Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.7/22.5Commit distribution — top contributor authored 88% of commits
13.5/13.5Contributor breadth — 17 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled17
top_contributor_share0.88

Issue & PR responsiveness

85Excellent
How it's scored
40.3/42Issue resolution — 96% of issues closed
28/30PR acceptance — 243/260 decided PRs merged
9.1/13Newcomer PR acceptance — 7/10 first-time contributors' PRs merged in 30d
7.5/15OpenSSF Scorecard: Code-Review — Found 15/29 approved changesets -- score normalized to 5
Inputs used
merged_prs243
open_issues7
closed_issues165
prs_merged_7d15
prs_decided_7d17
prs_merged_30d50
prs_decided_30d53
issue_closed_ratio0.959
closed_unmerged_prs17
first_time_authors_30d3
first_time_prs_merged_30d7
first_time_prs_decided_30d10

Ownership & stewardship

53Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
14/25Owner reach — 88 followers of agentrust-io
9.1/25Track record — 14 public repos, account ~0 yr old
Inputs used
followers88
owner_typeOrganization
is_verifiedno
owner_loginagentrust-io
public_repos14
account_age_days104

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 9 days ago
20/20Version history — 18 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesagent-manifest
ecosystemspypi
any_deprecatedno
min_days_since_publish9

Engineering Quality

Are baseline engineering and documentation practices in place?

73Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 14 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

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

Security

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

78Good · 16% of overall

Security posture

73Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
3.8/7.5Code-Review — Found 15/29 approved changesets -- score normalized to 5
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 23 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
4/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.3

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_packages9
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:agent-manifest@0.12.0 runtime dependency closure — what installing the published package pulls in — 9 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.

59Moderate · 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 — 97 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.98
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

59Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile
10/10Demonstrated agent practice — 40 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0.4
toolchain_manifests—
dependency_bot_commit_share0.01

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
53.9/55Manageable file sizes — 2/99 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes99,649
source_files_sampled99
oversized_source_files2

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

19GitHub stars
17contributors
399commits, last 12 months
0days since last push
17releases
1bus factor
7open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'agent-manifest' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for agent-manifest carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

Star and fork history 0 ★ / 19 ⇿
0Stars
19Forks
15Releases

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.

0481216201932026-062026-082026-09
Major 0Minor 0Patch 0
OpenSSF Scorecard 7.3 / 10
7.3aggregate

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 · 2026-09-15 21:41 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
5Code-ReviewFound 15/29 approved changesets -- score normalized to 5
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 23 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
8SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.7,<3python/pyproject.toml
PyPIcryptography>=42,<51python/pyproject.toml
PyPIcbor2>=5.6,<7python/pyproject.toml
All dependencies 180

Full resolved dependency set from the GitHub dependency graph: 6 direct and 174 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcbor2—direct
PyPIcbor26.1.4direct
PyPIcryptography—direct
PyPIcryptography50.0.1direct
PyPIpydantic—direct
PyPIpydantic2.13.5direct
PyPIagent-governance-toolkit4.1.0indirect
PyPIagent-governance-toolkit-core5.0.0indirect
PyPIagentrust-trace0.2.0indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIarrow1.4.0indirect
PyPIast-serialize0.9.0indirect
PyPIattrs26.1.0indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackrefs8.0indirect
PyPIbandit—indirect
PyPIbandit1.9.4indirect
PyPIbeautifulsoup44.15.0indirect
PyPIboolean-py5.0indirect
PyPIbuild1.6.0indirect
PyPIcachecontrol0.14.4indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.5.1indirect
PyPIclick—indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIcsscompressor0.9.5indirect
PyPIcyclonedx-bom7.3.1indirect
PyPIcyclonedx-python-lib11.12.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdnspython2.8.0indirect
PyPIdocutils0.23indirect
PyPIemail-validator2.3.0indirect
PyPIfastapi—indirect
PyPIfastapi0.141.1indirect
PyPIfilelock3.32.5indirect
PyPIfqdn1.5.1indirect
PyPIfrozenlist1.8.0indirect
PyPIghp-import2.1.0indirect
PyPIgriffe—indirect
PyPIgriffe2.3.0indirect
PyPIgriffecli2.3.0indirect
PyPIgriffelib2.3.0indirect
PyPIh110.16.0indirect
PyPIhtmlmin20.1.13indirect
PyPIhttpcore1.0.9indirect
PyPIhttptools0.8.0indirect
PyPIhttpx—indirect
PyPIhttpx0.28.1indirect
PyPIid1.6.1indirect
PyPIidna3.19indirect
PyPIimportlib-metadata9.0.1indirect
PyPIiniconfig2.3.0indirect
PyPIisoduration20.11.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjcs—indirect
PyPIjcs0.2.1indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjsmin3.0.1indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlark1.3.1indirect
PyPIlibrt0.15.0indirect
PyPIlicense-expression30.4.4indirect
PyPIlxml6.1.3indirect
PyPImarkdown3.10.3indirect
PyPImarkdown-it-py3.0.0indirect
PyPImarkdown-it-py4.2.0indirect
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
PyPImore-itertools11.1.0indirect
PyPImsgpack1.2.2indirect
PyPImultidict6.7.1indirect
PyPImypy—indirect
PyPImypy2.3.1indirect
PyPImypy-extensions1.1.0indirect
PyPInh30.3.7indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.3indirect
PyPIpaginate0.5.7indirect
PyPIpathspec1.1.1indirect
PyPIpip26.2.1indirect
PyPIpip-api0.0.34indirect
PyPIpip-audit—indirect
PyPIpip-audit2.10.1indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIplatformdirs4.11.7indirect
PyPIpluggy1.6.0indirect
PyPIprometheus-client—indirect
PyPIprometheus-client0.26.0indirect
PyPIpropcache0.5.2indirect
PyPIpy-serializable2.1.0indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpymdown-extensions—indirect
PyPIpymdown-extensions11.0.2indirect
PyPIpynacl1.6.2indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio—indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov—indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
PyPIreadme-renderer46.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc39862.0.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.16.6indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsoupsieve2.9.2indirect
PyPIstarlette1.6.0indirect
PyPIstevedore5.9.1indirect
PyPIstructlog26.1.0indirect
PyPItomli2.4.1indirect
PyPItomli-w1.2.0indirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn—indirect
PyPIuvicorn0.52.4indirect
PyPIuvloop0.22.1indirect
PyPIwatchdog6.0.0indirect
PyPIwatchfiles1.2.0indirect
PyPIwcwidth0.8.3indirect
PyPIwebcolors25.10.0indirect
PyPIwebsockets17.1indirect
PyPIyarl1.24.5indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:agent-manifest@0.12.0 pulls in 9 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.

Related records

Inspected repositories sharing catalogue tags or ecosystems with agentrust-io/agent-manifest. Read them side by side →

96microsoft/agent-governance-toolkitAI Agent Governance Toolkit — Policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for autonomous AI agents. Covers 10/10 OWASP Agentic Top 10.Exceptional96Canner/WrenAIGenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.Exceptional94vstorm-co/pydantic-deepagentsOpen-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-calling, sandboxed execution, multi-agent teams, skills, checkpoints, unlimited context - on Pydantic AI, any model.Exceptional100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Exceptional99IBM/mcp-context-forgeAn AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.Exceptional98ComposioHQ/composioComposio powers 1000+ toolkits, tool search, context management, authentication, and a sandboxed workbench to help you build AI agents that turn intent into action.Exceptional

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.