Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-08-27 16:04 UTC

harbor-framework / harbor

Framework for evaluating and improving agents

PythonApache-2.0★ 4,694 stars⑂ 1,669 forkssince Aug 2025View on GitHub ↗
KindCommand-line toolLibraryNetwork servicehow this is determined

harbor-framework/harbor holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (99/100) and lowest on Security (56/100). It was last updated today. 2 contributors account for most of its recent work.

93
overall / 100
Exceptional

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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

HarborOrganization
246 followers19 public repossince Jan 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIharbor0.22.07,743,1351285 days ago

Metrics by category

Vitality

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

99Exceptional · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
35.3/36Commit cadence51/52 weeks with commits
18/18Commit volume1,453 commits in the last year
10/10OpenSSF Scorecard: Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,453
human_commit_share1
days_since_last_push0
active_weeks_last_year51

Release discipline

100Exceptional
How it's scored
27/27Ships releases27 releases published
36/36Release recencylatest release 5 days ago
27/27Release cadencea release every ~7.3 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count27
latest_release_tagv0.22.0
releases_from_tagsno
days_since_latest_release5
mean_days_between_releases7.3
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?

82Excellent · 17% of overall
How it's scored
59.6/60Stars4,694 stars
25/25Forks1,669 forks
7.2/15Watchers21 watchers
Inputs used
forks1,669
stars4,694
watchers21
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonwindow_too_short
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (Apache-2.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

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

66Good · 23% of overall
How it's scored
25.2/54Bus factor2 contributor(s) cover half of all commits
12.2/22.5Commit distributiontop contributor authored 46% of commits
13.5/13.5Contributor breadth100 contributors
10/10OpenSSF Scorecard: Contributorsproject has 38 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled100
top_contributor_share0.46
How it's scored
16.1/42Issue resolution38% of issues closed
16.2/30PR acceptance1,102/2,035 decided PRs merged
6.5/13Newcomer PR acceptance3/6 first-time contributors' PRs merged in 30d
12/15OpenSSF Scorecard: Code-ReviewFound 25/30 approved changesets -- score normalized to 8
Inputs used
merged_prs1,102
open_issues236
closed_issues147
prs_merged_7d46
prs_decided_7d60
prs_merged_30d46
prs_decided_30d60
issue_closed_ratio0.384
closed_unmerged_prs933
first_time_authors_30d6
first_time_prs_merged_30d3
first_time_prs_decided_30d6
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domain
17.2/25Owner reach246 followers of harbor-framework
10.7/25Track record19 public repos, account ~0 yr old
Inputs used
followers246
owner_typeOrganization
is_verifiedno
owner_loginharbor-framework
public_repos19
account_age_days217

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 5 days ago
20/20Version history128 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesharbor
ecosystemspypi
any_deprecatedno
min_days_since_publish5

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows15 workflow(s)
24/24Tests present
16/16Linter configeslint.config.mjs, pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests27 out of 27 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://harborframework.com/
10/10Repository description
10/10Topics3 topics
10/10Wiki
Inputs used
topicsevals, rl-environments, terminal-bench
has_wikiyes
homepagehttps://harborframework.com/
docs_sitehttps://harborframework.com/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

56Moderate · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests27 out of 27 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 38 contributing companies or organizations
10/10Dangerous-Workflowno dangerous workflow patterns detected
0/7.5Dependency-Update-Toolno update tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained30 commit(s) and 8 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
0/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0/5SASTSAST tool is not run on all commits -- score normalized to 0
0/5Security-Policysecurity policy file not detected
0/7.5Signed-Releasesno data
0/7.5Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities265 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.5
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 advisoriesno direct dependency carries a known advisory
25/25Indirect dependencies free of known advisoriesno indirect dependency carries a known advisory
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages82
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:harbor@0.22.0 runtime dependency closure — what installing the published package pulls in — 82 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.

77Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md, adapters/adebench/src/adebench/task-template/environment/AGENTS.md, adapters/adebench/src/adebench/task-template/environment/CLAUDE.md, adapters/adebench/src/adebench/task-template/environment/GEMINI.md, apps/viewer/CLAUDE.md, docs-mintlify/.mintlify/AGENTS.md, docs/AGENTS.md, docs/CLAUDE.md, packages/rewardkit/AGENTS.md, packages/rewardkit/CLAUDE.md, packages/rewardkit/src/rewardkit/prompts/agent.md
15/15Machine-readable docs (llms.txt)llms.txt served by the project website (https://harborframework.com/llms-full.txt)
40/40Legible commit history94 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://harborframework.com/llms-full.txt
legible_history_share0.94
agent_instruction_filesAGENTS.md, CLAUDE.md, adapters/adebench/src/adebench/task-template/environment/AGENTS.md, adapters/adebench/src/adebench/task-template/environment/CLAUDE.md, adapters/adebench/src/adebench/task-template/environment/GEMINI.md, apps/viewer/CLAUDE.md, docs-mintlify/.mintlify/AGENTS.md, docs/AGENTS.md, docs/CLAUDE.md, packages/rewardkit/AGENTS.md, packages/rewardkit/CLAUDE.md, packages/rewardkit/src/rewardkit/prompts/agent.md
agent_instruction_max_bytes16,145
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format configeslint.config.mjs, pyproject.toml ([tool.ruff])
11/11Static type checkingapps/viewer/tsconfig.json, docs/tsconfig.json
10/10Reproducible environmentDockerfile, lockfile
10/10Demonstrated agent practice26 of the last 100 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
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsapps/viewer/tsconfig.json, docs/tsconfig.json
agent_commit_share0.26
toolchain_manifests
dependency_bot_commit_share0
How it's scored
27/45Type-checkable codePython with type-check config (apps/viewer/tsconfig.json, docs/tsconfig.json)
53.9/55Manageable file sizes30/1,461 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes145,959
source_files_sampled1,461
oversized_source_files30
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examplesexamples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files
interfaces_expected_ofnetwork-service

Key facts

4,694GitHub stars
100contributors
1,453commits, last 12 months
0days since last push
27releases
2bus factor
236open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Star history carried forward from 2026-07-21: GitHub restricted the stargazers API to repository admins, so it can no longer be collected. The repository has 4694 stars today.
  • First-time contributor figures cover 12 of 30 authors (cap 12)
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 3,333 ★ / 1,669 ⇿
3,333Stars
1,669Forks
27Releases

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.

Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.

Star history is shown as collected on 2026-07-21. GitHub restricted the stargazers API to repository administrators in July 2026, so this series can no longer be extended; the current star total above remains live.

5001,0001,5002,0002,5003,0003,5003,3331,669392026-032026-052026-08
Major 0Minor 16Patch 11
OpenSSF Scorecard 4.5 / 10
4.5aggregate

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 · 2026-08-27 16:03 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests27 out of 27 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 38 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 8 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
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities265 existing vulnerabilities detected
Direct dependencies 21
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.11.7pyproject.toml
PyPIshortuuid>=1.0.13pyproject.toml
PyPItyper>=0.16.0pyproject.toml
PyPIrequests>=2.32.4pyproject.toml
PyPIpyyaml>=6.0.2pyproject.toml
PyPIrich>=14.1.0pyproject.toml
PyPItoml>=0.10.2pyproject.toml
PyPItenacity>=9.1.2pyproject.toml
PyPIpython-dotenv>=1.1.1pyproject.toml
PyPIlitellm>=1.92.0pyproject.toml
PyPIjinja2>=3.1.6pyproject.toml
PyPIdirhash>=0.5.0pyproject.toml
PyPIpackaging>=25.0pyproject.toml
PyPIfastapi>=0.128.0pyproject.toml
PyPIuvicorn>=0.38.0pyproject.toml
PyPIpathspec>=1.0.3pyproject.toml
PyPIsupabase>=2.28.2pyproject.toml
PyPIhttpx>=0.27.0pyproject.toml
PyPIfilelock>=3.29.4pyproject.toml
PyPIplatformdirs>=4.10.0pyproject.toml
PyPIpyjwt>=2.10.1pyproject.toml
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:harbor@0.22.0 pulls in 82 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.

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 statisticsPyPI.