Public record
Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-18 09:05 UTC

overmind-core / overmind

Automatically optimize your AI agent's prompts, tool definitions, model selection, and pipeline logic through structured experimentation.

PythonNo license detected★ 28 stars⑂ 3 forkssince Mar 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

overmind-core/overmind holds a health index of 71 out of 100, placing it in the Good band. It scores highest on Engineering Quality (92/100) and lowest on Community & Adoption (26/100). It was last updated today. 2 contributors account for most of its recent work.

71
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.

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

Ownership

OvermindOrganization
6 followers9 public repossince Apr 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIovermind0.1.67-490 days agoaiapiclientenforcementovermindpolicy

Metrics by category

Vitality

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

44Weak · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
10.4/36Commit cadence15/52 weeks with commits
16/18Commit volume59 commits in the last year
10/10OpenSSF Scorecard: Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year59
human_commit_share1
days_since_last_push0
active_weeks_last_year15
How it's scored
0/27Ships releasesno releases published
0/36Release recencyno releases
0/27Release cadenceno releases
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count0
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?

26At Risk · 17% of overall
How it's scored
23.2/60Stars28 stars
2.5/25Forks3 forks
0/15Watchers0 watchers
Inputs used
forks3
stars28
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
0/22.5Licenseno 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

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

74Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.8/22.5Commit distributiontop contributor authored 43% of commits
6.8/13.5Contributor breadth5 contributors
10/10OpenSSF Scorecard: Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled5
top_contributor_share0.433
How it's scored
42/42Issue resolution100% of issues closed
26.1/30PR acceptance54/62 decided PRs merged
10.4/13Newcomer PR acceptance4/5 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 25/30 approved changesets -- score normalized to 8
Inputs used
merged_prs54
open_issues0
closed_issues3
prs_merged_7d6
prs_decided_7d7
prs_merged_30d13
prs_decided_30d14
issue_closed_ratio1
closed_unmerged_prs8
first_time_authors_30d2
first_time_prs_merged_30d4
first_time_prs_decided_30d5
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
6.1/25Owner reach6 followers of overmind-core
9.9/25Track record9 public repos, account ~1 yr old
Inputs used
followers6
owner_typeOrganization
is_verified
owner_loginovermind-core
public_repos9
account_age_days485
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history49 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesovermind
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall
How it's scored
24/24CI workflows4 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests28 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_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://overmindlab.ai
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics
has_wikiyes
homepagehttps://overmindlab.ai
docs_sitehttps://overmindlab.ai
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

73Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests28 out of 28 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
6/7.5Code-ReviewFound 25/30 approved changesets -- score normalized to 8
2.5/2.5Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
0/2.5Licenselicense file not detected
7.5/7.5Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packagingpackaging workflow detected
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5/5SASTSAST tool is run on all commits
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
6.8/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.6
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 advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages102
unassessed_packages0
affected_by_severitynone
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 102 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.

77Good · 4% of overall
How it's scored
45/45Agent instructions.cursor/rules/bump-version.mdc, .cursor/rules/ponytail.mdc, skills/overmind/references/agents.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history54 of 60 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.9
agent_instruction_files.cursor/rules/bump-version.mdc, .cursor/rules/ponytail.mdc, skills/overmind/references/agents.md
agent_instruction_max_bytes3,300
How it's scored
18/18One-command bootstrapMakefile
22/22Automated tests
11/11Lint / format config
0/11Static type checking
10/10Reproducible environmentlockfile
10/10Demonstrated agent practice6 of the last 60 commits agent-authored or agent-credited
0/8Automated maintenanceno automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependenciesdependency 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_configs
agent_commit_share0.1
toolchain_manifests
dependency_bot_commit_share0
How it's scored
0/45Type-checkable codePython without a type-check config
55/55Manageable file sizes0/24 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes33,008
source_files_sampled24
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
20/20MCP server
40/40Runnable examplesexamples
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

28GitHub stars
5contributors
59commits, last 12 months
0days since last push
0releases
2bus factor
0open 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:overmind@0.1.67; advisories assessed against the repository dependency graph instead

More detail

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

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.

12233312026-052026-062026-07
OpenSSF Scorecard 6.6 / 10
6.6aggregate

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 · 2026-08-18 09:04 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
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 25/30 approved changesets -- score normalized to 8
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
0Licenselicense file not detected
10Maintained19 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 17
RegistryPackageVersion constraintManifest
PyPIpsutil>=5.9.0pyproject.toml
PyPIrequests>=2.31.0pyproject.toml
PyPIrich>=14.0.0pyproject.toml
PyPItyper>=0.25.0pyproject.toml
PyPIopentelemetry-api>=1.35.0pyproject.toml
PyPIopentelemetry-sdk>=1.35.0pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http>=1.35.0pyproject.toml
PyPIopentelemetry-instrumentation-fastapi>=0.60b1pyproject.toml
PyPIopentelemetry-instrumentation>=0.60b1pyproject.toml
PyPIopentelemetry-semantic-conventions>=0.60b1pyproject.toml
PyPIopentelemetry-semantic-conventions-ai>=0.4.13pyproject.toml
PyPIopentelemetry-instrumentation-anthropic>=0.53.0pyproject.toml
PyPIopentelemetry-instrumentation-google-generativeai>=0.53.0pyproject.toml
PyPIopentelemetry-instrumentation-agno>=0.53.0pyproject.toml
PyPIopentelemetry-instrumentation-openai>=0.53.1pyproject.toml
PyPIopentelemetry-overmind>=0.53.0pyproject.toml
PyPIlitellm>=1.90.2pyproject.toml
All dependencies 102

Full resolved dependency set from the GitHub dependency graph: 17 direct and 85 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIlitellm1.92.0direct
PyPIopentelemetry-api1.43.0direct
PyPIopentelemetry-exporter-otlp-proto-http1.43.0direct
PyPIopentelemetry-instrumentation0.64b0direct
PyPIopentelemetry-instrumentation-agno0.62.1direct
PyPIopentelemetry-instrumentation-anthropic0.62.1direct
PyPIopentelemetry-instrumentation-fastapi0.64b0direct
PyPIopentelemetry-instrumentation-google-generativeai0.62.1direct
PyPIopentelemetry-instrumentation-openai0.62.1direct
PyPIopentelemetry-overmind0.53.0direct
PyPIopentelemetry-sdk1.43.0direct
PyPIopentelemetry-semantic-conventions0.64b0direct
PyPIopentelemetry-semantic-conventions-ai0.5.1direct
PyPIpsutil7.2.2direct
PyPIrequests2.34.2direct
PyPIrich15.0.0direct
PyPItyper0.26.8direct
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIasgiref3.12.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIcertifi2026.6.17indirect
PyPIcfgv3.5.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIclick8.4.2indirect
PyPIcolorama0.4.6indirect
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PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
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PyPIfilelock3.29.7indirect
PyPIfrozenlist1.8.0indirect
PyPIfsspec2026.6.0indirect
PyPIgoogleapis-common-protos1.75.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.5.1indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub1.23.0indirect
PyPIidentify2.6.19indirect
PyPIidna3.18indirect
PyPIimportlib-metadata8.9.0indirect
PyPIiniconfig2.3.0indirect
PyPIjinja23.1.6indirect
PyPIjiter0.16.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImultidict6.7.1indirect
PyPInodeenv1.10.0indirect
PyPIopenai2.45.0indirect
PyPIopentelemetry-exporter-otlp-proto-common1.43.0indirect
PyPIopentelemetry-instrumentation-asgi0.64b0indirect
PyPIopentelemetry-instrumentation-httpx0.64b0indirect
PyPIopentelemetry-instrumentation-logging0.64b0indirect
PyPIopentelemetry-instrumentation-requests0.64b0indirect
PyPIopentelemetry-proto1.43.0indirect
PyPIopentelemetry-util-http0.64b0indirect
PyPIovermind0.1.67indirect
PyPIpackaging26.2indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.0indirect
PyPIpropcache0.5.2indirect
PyPIprotobuf7.35.1indirect
PyPIpydantic2.13.4indirect
PyPIpydantic-core2.46.4indirect
PyPIpygments2.20.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.4.4indirect
PyPIpython-dotenv1.2.2indirect
PyPIpyyaml6.0.3indirect
PyPIreferencing0.37.0indirect
PyPIregex2026.7.10indirect
PyPIrpds-py0.30.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff0.15.21indirect
PyPIshellingham1.5.4indirect
PyPIsniffio1.3.1indirect
PyPItiktoken0.13.0indirect
PyPItokenizers0.23.1indirect
PyPItomli2.4.1indirect
PyPItqdm4.68.4indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.2indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.6.1indirect
PyPIwrapt2.2.2indirect
PyPIyarl1.24.2indirect
PyPIydiff1.5indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 102 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct.

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.

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 v0.31.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.