Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-06 00:37 UTC

vcoderun / acpkit

ACP Kit provides a common adapter for Agent Frameworks.

PythonApache-2.0★ 22 stars⑂ 3 forkssince Mar 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

vcoderun/acpkit holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (92/100) and lowest on Sustainability & Governance (53/100). It was last updated 4 days ago. A single contributor accounts for most of its recent work.

83
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.

83
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 70 is calibrated to 83 on the published index scale (record calibration 2026-08-02).

Ownership

vCodeOrganization
2 followers13 public repossince Oct 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIacpkit1.7.09053118 days agoacpagentsprotocolpydantic-ai

Metrics by category

Vitality

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

85Excellent · 21% of overall

Development activity

75Good
How it's scored
36/36Push recency — last push 4 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 148 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year148
human_commit_share0.92
days_since_last_push4
active_weeks_last_year16

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 28 releases published
36/36Release recency — latest release 18 days ago
27/27Release cadence — a release every ~6.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count28
latest_release_tagv1.7.0_2026-08-19
releases_from_tagsno
days_since_latest_release18
mean_days_between_releases6.8
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?

54Moderate · 17% of overall

Popularity & adoption

24At Risk
How it's scored
21.4/60Stars — 22 stars
2.5/25Forks — 3 forks
0/15Watchers — 1 watchers
Inputs used
forks3
stars22
watchers1
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_servicescodecov.io, github.com, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

49Weak
How it's scored
39.4/80Monthly downloads — 905 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesacpkit
dependents—
ecosystemspypi
total_downloads—
monthly_downloads905
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)

18Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 98% of commits
2.7/13.5Contributor breadth — 2 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.985

Issue & PR responsiveness

65Good
How it's scored
42/42Issue resolution — 100% of issues closed
14.2/30PR acceptance — 18/38 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/24 approved changesets -- score normalized to 0
Inputs used
merged_prs18
open_issues0
closed_issues1
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs20
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

44Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
3.4/25Owner reach — 2 followers of vcoderun
10.1/25Track record — 13 public repos, account ~0 yr old
Inputs used
followers2
owner_typeOrganization
is_verifiedno
owner_loginvcoderun
public_repos13
account_age_days326

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 18 days ago
20/20Version history — 31 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesacpkit
ecosystemspypi
any_deprecatedno
min_days_since_publish18

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

100Exceptional
How it's scored
24/24CI workflows — 5 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://vcoderun.github.io/acpkit/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://vcoderun.github.io/acpkit/
docs_sitehttps://vcoderun.github.io/acpkit/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

62Moderate · 16% of overall

Security posture

52Moderate
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 — 5 out of 5 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 1/24 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
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 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.2
Excluded from scoring (no data or not applicable): Packaging, 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_packages107
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:acpkit@1.7.0 runtime dependency closure — what installing the published package pulls in — 107 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.

84Excellent · 4% of overall

Agent context & guidance

76Good
How it's scored
45/45Agent instructions — .cursorrules
15/15Machine-readable docs (llms.txt) — llms.txt present
16.2/40Legible commit history — 28 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.304
agent_instruction_files.cursorrules
agent_instruction_max_bytes1,163

Verify loop (build / test / typecheck)

84Excellent
How it's scored
18/18One-command bootstrap — Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — packages/adapters/langchain-acp/src/langchain_acp/py.typed, packages/adapters/pydantic-acp/src/pydantic_acp/py.typed, packages/helpers/codex-auth-helper/src/codex_auth_helper/py.typed, packages/transports/acpremote/src/acpremote/py.typed, pyrightconfig.json, src/acpkit/py.typed
10/10Reproducible environment — lockfile
4/10Demonstrated agent practice — 2 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 8 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configspackages/adapters/langchain-acp/src/langchain_acp/py.typed, packages/adapters/pydantic-acp/src/pydantic_acp/py.typed, packages/helpers/codex-auth-helper/src/codex_auth_helper/py.typed, packages/transports/acpremote/src/acpremote/py.typed, pyrightconfig.json, src/acpkit/py.typed
agent_commit_share0.02
toolchain_manifests—
dependency_bot_commit_share0.08

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (packages/adapters/langchain-acp/src/langchain_acp/py.typed, packages/adapters/pydantic-acp/src/pydantic_acp/py.typed, packages/helpers/codex-auth-helper/src/codex_auth_helper/py.typed, packages/transports/acpremote/src/acpremote/py.typed, pyrightconfig.json, src/acpkit/py.typed)
54/55Manageable file sizes — 4/215 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes173,971
source_files_sampled215
oversized_source_files4

Machine-readable interfaces

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

Key facts

22GitHub stars
2contributors
148commits, last 12 months
4days since last push
28releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 3 ⇿
0Stars
3Forks
2Releases

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.

222333322026-062026-062026-06
Major 0Minor 0Patch 0
OpenSSF Scorecard 5.2 / 10
5.2aggregate

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 · 2026-09-06 00:37 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests5 out of 5 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 1/24 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIclick>=8.1.8pyproject.toml
PyPIpre-commit>=4.6.0pyproject.toml
PyPIpydantic-ai>=2.9.0,<=2.31.1pyproject.toml
PyPItyping-extensions>=4.12.0pyproject.toml
All dependencies 197

Full resolved dependency set from the GitHub dependency graph: 5 direct and 192 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIpre-commit4.6.0direct
PyPIpydantic-ai2.31.1direct
PyPItyping-extensions—direct
PyPItyping-extensions4.16.0direct
PyPIagent-client-protocol0.11.0indirect
PyPIaiofile3.11.1indirect
PyPIannotated-types0.7.0indirect
PyPIanthropic0.116.0indirect
PyPIanyio—indirect
PyPIanyio4.14.1indirect
PyPIargcomplete3.7.0indirect
PyPIattrs26.1.0indirect
PyPIauthlib1.7.2indirect
PyPIbabel2.18.0indirect
PyPIbackports-tarfile1.2.0indirect
PyPIbackrefs7.0indirect
PyPIbasedpyright1.39.9indirect
PyPIbeartype0.22.9indirect
PyPIbracex3.0indirect
PyPIbrotli1.2.0indirect
PyPIbrotlicffi1.2.0.1indirect
PyPIcachetools7.1.4indirect
PyPIcaio0.9.25indirect
PyPIcertifi2026.6.17indirect
PyPIcffi2.1.0indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcolorama0.4.6indirect
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PyPIddgs9.15.0indirect
PyPIdeepagents—indirect
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PyPIjiter0.16.0indirect
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PyPIlangchain-google-genai4.2.7indirect
PyPIlangchain-openai—indirect
PyPIlangchain-openai1.3.3indirect
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PyPIlanggraph—indirect
PyPIlanggraph1.2.8indirect
PyPIlanggraph-checkpoint4.1.1indirect
PyPIlanggraph-prebuilt1.1.0indirect
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PyPIopentelemetry-instrumentation-httpx0.63b1indirect
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PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
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PyPIpydantic—indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-ai-harness0.22.0indirect
PyPIpydantic-ai-slim—indirect
PyPIpydantic-ai-slim2.31.1indirect
PyPIpydantic-core2.46.4indirect
PyPIpydantic-evals2.31.1indirect
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PyPIpydantic-monty-runtime0.0.19indirect
PyPIpydantic-settings2.14.2indirect
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PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
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PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIpyyaml-env-tag1.1indirect
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PyPIregex2026.6.28indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.20indirect
PyPIsecretstorage3.5.0indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsocksio1.0.0indirect
PyPIsse-starlette3.4.5indirect
PyPIstarlette1.3.1indirect
PyPItenacity9.1.4indirect
PyPItiktoken0.13.0indirect
PyPItomli2.4.1indirect
PyPItqdm4.68.4indirect
PyPItruststore0.10.4indirect
PyPIty0.0.56indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.16.2indirect
PyPIuv0.11.27indirect
PyPIuvicorn0.50.2indirect
PyPIuvloop—indirect
PyPIuvloop0.22.1indirect
PyPIvirtualenv21.6.0indirect
PyPIwatchdog6.0.0indirect
PyPIwcmatch10.2.1indirect
PyPIwcwidth0.8.2indirect
PyPIwebsockets—indirect
PyPIwebsockets15.0.1indirect
PyPIwrapt2.2.2indirect
PyPIxxhash3.8.1indirect
PyPIzipp4.1.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:acpkit@1.7.0 pulls in 107 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.