Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-21 19:30 UTC

mitodl / agent-kit

Team toolkit for AI agent utilities: skills, custom agents, MCP helpers, and configurations

PythonBSD-3-Clause★ 2 stars⑂ 0 forkssince Mar 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

mitodl/agent-kit holds a health index of 83 out of 100, placing it in the Excellent band. It scores highest on AI Readiness (92/100) and lowest on Community & Adoption (35/100). It was last updated today. 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

MIT Office of Digital LearningOrganization
74 followers299 public repossince Jun 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIol-agent-kit0.1.3258421 days agoagentcoding-agentmcpmeta-package
PyPIwitan-core0.32.03,268310 days agoagentcoding-agentmcpomnigraphshared
PyPIagent-config-kit0.5.0-920 days ago—

Metrics by category

Vitality

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

75Good · 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 — 294 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year294
human_commit_share0.92
days_since_last_push0
active_weeks_last_year15

Release discipline

76Good
How it's scored
27/27Ships releases — 1 releases published
36/36Release recency — latest release 60 days ago
12.6/27Release cadence — cadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count1
latest_release_tagv0.1.0
releases_from_tagsno
days_since_latest_release60
mean_days_between_releases—

Community & Adoption

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

35Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 2 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

57Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (BSD-3-Clause)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

59Moderate
How it's scored
47.3/80Monthly downloads — 3,526 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesol-agent-kit, witan-core
dependents—
ecosystemspypi
total_downloads—
monthly_downloads3,526
unverified_packages_excludedagent-config-kit
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?

70Good · 23% of overall

Maintainer resilience (bus factor)

29At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
2.2/22.5Commit distribution — top contributor authored 90% of commits
8.1/13.5Contributor breadth — 6 contributors
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled6
top_contributor_share0.903

Issue & PR responsiveness

79Good
How it's scored
36.8/42Issue resolution — 88% of issues closed
29.2/30PR acceptance — 258/265 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 2/26 approved changesets -- score normalized to 0
Inputs used
merged_prs258
open_issues1
closed_issues7
prs_merged_7d31
prs_decided_7d33
prs_merged_30d50
prs_decided_30d52
issue_closed_ratio0.875
closed_unmerged_prs7
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

86Excellent
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
13.5/25Owner reach — 74 followers of mitodl
25/25Track record — 299 public repos, account ~12 yr old
Inputs used
followers74
owner_typeOrganization
is_verified—
owner_loginmitodl
public_repos299
account_age_days4,447
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 3 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 31 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesol-agent-kit, witan-core, agent-config-kit
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 13 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 — 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_configyes
has_precommit_configno

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://github.com/mitodl/agent-kit/blob/main/packages/agent-kit/README.md
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_sitehttps://github.com/mitodl/agent-kit/blob/main/packages/agent-kit/README.md
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

75Good · 16% of overall

Security posture

69Good
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 — 30 out of 30 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 2/26 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 6 contributing companies or organizations
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 3 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
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6.8/7.5Token-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_aggregate6.9

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_packages96
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:ol-agent-kit@0.1.3 runtime dependency closure — what installing the published package pulls in — 96 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.

92Excellent · 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 — 92 of 92 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes7,204

Verify loop (build / test / typecheck)

98Exceptional
How it's scored
18/18One-command bootstrap — justfile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — mcp/servers/witan/pyrightconfig.json
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 84 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 8 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
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_filesjustfile
has_devcontainerno
has_linter_configyes
typecheck_configsmcp/servers/witan/pyrightconfig.json
agent_commit_share0.84
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 (mcp/servers/witan/pyrightconfig.json)
54.2/55Manageable file sizes — 4/276 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes273,373
source_files_sampled276
oversized_source_files4

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

2GitHub stars
6contributors
294commits, last 12 months
0days since last push
1releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 6.9 / 10
6.9aggregate

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 · 2026-08-21 19:30 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-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
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 2/26 approved changesets -- score normalized to 0
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 3 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
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIpydantic>=2,<3packages/agent-config-kit/pyproject.toml
PyPIagent-config-kit>=0.3.7packages/agent-kit/pyproject.toml
PyPIwitan-council>=0.7.2packages/agent-kit/pyproject.toml
PyPIwitan-code>=0.8.0packages/agent-kit/pyproject.toml
All dependencies 209

Full resolved dependency set from the GitHub dependency graph: 14 direct and 195 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIagent-config-kit—direct
PyPIagent-config-kit0.4.0direct
PyPIagent-config-kit0.5.0direct
PyPIpydantic—direct
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PyPIpydantic2.14.0b1direct
PyPIwitan-code—direct
PyPIwitan-code0.15.0direct
PyPIwitan-code0.3.0direct
PyPIwitan-code0.4.0direct
PyPIwitan-council—direct
PyPIwitan-council0.27.0direct
PyPIwitan-council0.3.0direct
PyPIwitan-council0.4.0direct
PyPIaiofile3.11.1indirect
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PyPItree-sitter-go—indirect
PyPItree-sitter-go0.25.0indirect
PyPItree-sitter-hcl—indirect
PyPItree-sitter-hcl1.2.0indirect
PyPItree-sitter-python—indirect
PyPItree-sitter-python0.25.0indirect
PyPItree-sitter-sql—indirect
PyPItree-sitter-sql0.3.11indirect
PyPItree-sitter-typescript—indirect
PyPItree-sitter-typescript0.23.2indirect
PyPItree-sitter-yaml—indirect
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PyPItyping-inspection0.4.4indirect
PyPItzdata2026.3indirect
PyPIuncalled-for0.3.2indirect
PyPIuncalled-for0.4.0indirect
PyPIurllib32.7.0indirect
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PyPIuvicorn0.51.0indirect
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PyPIwatchfiles1.2.0indirect
PyPIwebsockets16.0indirect
PyPIwebsockets16.1indirect
PyPIwebsockets17.0.1indirect
PyPIwitan-core—indirect
PyPIwitan-core0.2.0indirect
PyPIwitan-core0.32.0indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:ol-agent-kit@0.1.3 pulls in 96 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

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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.