Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-09 01:48 UTC

core-aix / agitrack

Every agent turn becomes a traceable commit carrying the full interaction trace, model, and token cost, plus a live dashboard and a coach that teaches you, from your own sessions, to drive agents and your codebase better.

PythonApache-2.0★ 17 stars⑂ 1 forksince Jun 2026View on GitHub ↗
KindCommand-line toolLibraryhow this is determined
#ai-agents#ai-coding#coding-agents#efficiency#historical-data#learn-to-code#prompt#traceability

core-aix/agitrack holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (88/100) and lowest on Community & Adoption (46/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

core-aixOrganization
1 follower9 public repossince Nov 2025

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIagitrack0.6.212,062776 days ago

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 1 days ago
9.7/36Commit cadence — 14/52 weeks with commits
18/18Commit volume — 1,075 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,075
human_commit_share0.83
days_since_last_push1
active_weeks_last_year14

Release discipline

90Excellent
How it's scored
27/27Ships releases — 79 releases published
36/36Release recency — latest release 6 days ago
27/27Release cadence — a release every ~2 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count79
latest_release_tagv0.6.21
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases2

Community & Adoption

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

46Weak · 17% of overall

Popularity & adoption

20At Risk
How it's scored
19.5/60Stars — 17 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars17
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

70Good
How it's scored
22.5/22.5README
22.5/22.5License — recognized 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_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno

Ecosystem adoption (downloads)

55Moderate
How it's scored
44.2/80Monthly downloads — 2,062 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesagitrack
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,062
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?

56Moderate · 23% of overall

Maintainer resilience (bus factor)

18Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.8/22.5Commit distribution — top contributor authored 96% of commits
5.4/13.5Contributor breadth — 4 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled4
top_contributor_share0.964

Issue & PR responsiveness

81Excellent
How it's scored
40.5/42Issue resolution — 96% of issues closed
29.6/30PR acceptance — 214/217 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 1/13 approved changesets -- score normalized to 0
Inputs used
merged_prs214
open_issues2
closed_issues55
prs_merged_7d2
prs_decided_7d2
prs_merged_30d12
prs_decided_30d13
issue_closed_ratio0.965
closed_unmerged_prs3
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

41Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
2.2/25Owner reach — 1 followers of core-aix
8.9/25Track record — 9 public repos, account ~0 yr old
Inputs used
followers1
owner_typeOrganization
is_verifiedno
owner_logincore-aix
public_repos9
account_age_days288

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 6 days ago
20/20Version history — 77 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesagitrack
ecosystemspypi
any_deprecatedno
min_days_since_publish6

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall

Engineering practices

86Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
12/20OpenSSF Scorecard: CI-Tests — 8 out of 12 merged PRs checked by a CI test -- score normalized to 6
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 site — http://agitrack.core-aix.org/
10/10Repository description
10/10Topics — 8 topics
0/10Wiki
Inputs used
topicsai-agents, ai-coding, coding-agents, efficiency, historical-data, learn-to-code, prompt, traceability
has_wikino
homepagehttp://agitrack.core-aix.org/
docs_sitehttp://agitrack.core-aix.org/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

64Moderate · 16% of overall

Security posture

55Moderate
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
1.5/2.5CI-Tests — 8 out of 12 merged PRs checked by a CI test -- score normalized to 6
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/13 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
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 17 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
4.5/5SAST — 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
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.5
Excluded from scoring (no data or not applicable): Packaging. 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_packages4
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:agitrack@0.6.21 runtime dependency closure — what installing the published package pulls in — 4 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.

88Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://docs.claude.com/llms.txt)
40/40Legible commit history — 76 of 83 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://docs.claude.com/llms.txt
legible_history_share0.916
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes334,688

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 — editors/vscode/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesMakefile
has_devcontainerno
has_linter_configyes
typecheck_configseditors/vscode/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.06

Code legibility for models

76Good
How it's scored
27/45Type-checkable code — Python with type-check config (editors/vscode/tsconfig.json)
48.9/55Manageable file sizes — 30/270 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes716,378
source_files_sampled270
oversized_source_files30

Key facts

17GitHub stars
4contributors
1,075commits, last 12 months
1days since last push
79releases
1bus factor
2open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 5.5 / 10
5.5aggregate

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 · 2026-09-09 01:48 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
6CI-Tests8 out of 12 merged PRs checked by a CI test -- score normalized to 6
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/13 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
9SASTSAST 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
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIprompt_toolkit>=3.0.52pyproject.toml
PyPIpyte>=0.8.2pyproject.toml
PyPIwatchdog>=6.0pyproject.toml
PyPIpywinpty>=2.0.13pyproject.toml
All dependencies 357

Full resolved dependency set from the GitHub dependency graph: 7 direct and 350 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIprompt-toolkit—direct
PyPIprompt-toolkit3.0.53direct
PyPIpyte—direct
PyPIpyte0.8.2direct
PyPIpywinpty3.0.5direct
PyPIwatchdog—direct
PyPIwatchdog6.0.0direct
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npmsax1.6.0indirect
npmsecretlint10.2.2indirect
npmsemver5.7.2indirect
npmsemver7.8.4indirect
npmside-channel1.1.1indirect
npmside-channel-list1.0.1indirect
npmside-channel-map1.0.1indirect
npmside-channel-weakmap1.0.2indirect
npmsimple-concat1.0.1indirect
npmsimple-get4.0.1indirect
npmslash5.1.0indirect
npmslice-ansi4.0.0indirect
npmspdx-correct3.2.0indirect
npmspdx-exceptions2.5.0indirect
npmspdx-expression-parse3.0.1indirect
npmspdx-license-ids3.0.23indirect
npmstring-width4.2.3indirect
npmstring_decoder1.3.0indirect
npmstrip-ansi6.0.1indirect
npmstrip-ansi7.2.0indirect
npmstrip-json-comments2.0.1indirect
npmstructured-source4.0.0indirect
npmsupports-color7.2.0indirect
npmsupports-hyperlinks3.2.0indirect
npmtable6.9.0indirect
npmtar-fs2.1.4indirect
npmtar-stream2.2.0indirect
npmterminal-link4.0.0indirect
npmtext-table0.2.0indirect
npmtextextensions6.11.0indirect
npmtmp0.2.7indirect
npmto-regex-range5.0.1indirect
npmtslib2.8.1indirect
npmtunnel0.0.6indirect
npmtunnel-agent0.6.0indirect
npmtype-fest4.41.0indirect
npmtyped-rest-client1.8.11indirect
npmtypescript7.0.2indirect
npmuc.micro2.1.0indirect
npmunderscore1.13.8indirect
npmundici7.29.0indirect
npmundici-types8.3.0indirect
npmunicorn-magic0.1.0indirect
npmunicorn-magic0.3.0indirect
npmuniversalify2.0.1indirect
npmurl-join4.0.1indirect
npmutil-deprecate1.0.2indirect
npmvalidate-npm-package-license3.0.4indirect
npmversion-range4.15.0indirect
npmwhatwg-encoding3.1.1indirect
npmwhatwg-mimetype4.0.0indirect
npmwrappy1.0.2indirect
npmwsl-utils0.1.0indirect
npmxml2js0.5.0indirect
npmxmlbuilder11.0.1indirect
npmyallist4.0.0indirect
npmyauzl3.4.0indirect
npmyazl2.5.1indirect
PyPIagitrack0.6.21indirect
PyPIaltgraph0.17.5indirect
PyPIast-serialize0.8.0indirect
PyPIcfgv3.5.0indirect
PyPIcolorama0.4.6indirect
PyPIcoverage7.16.0indirect
PyPIdistlib0.4.2indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfilelock3.29.3indirect
PyPIidentify2.6.19indirect
PyPIiniconfig2.3.0indirect
PyPIlibrt0.15.0indirect
PyPImacholib1.16.4indirect
PyPImypy2.3.1indirect
PyPImypy-baseline0.7.4indirect
PyPImypy-extensions1.1.0indirect
PyPInodeenv1.10.0indirect
PyPIpackaging26.2indirect
PyPIpathspec1.1.1indirect
PyPIpefile2024.8.26indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.6.2indirect
PyPIpygments2.20.0indirect
PyPIpyinstaller6.22.2indirect
PyPIpyinstaller-hooks-contrib2026.6indirect
PyPIpytest9.1.1indirect
PyPIpytest-cov7.1.0indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-discovery1.4.1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
PyPIruff0.16.5indirect
PyPIsetuptools—indirect
PyPIsetuptools84.0.0indirect
PyPItomli2.4.1indirect
PyPItyping-extensions4.15.0indirect
PyPIvirtualenv21.4.2indirect
PyPIwcwidth0.7.0indirect
Dependency advisories 0

Installing pypi:agitrack@0.6.21 pulls in 4 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.

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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.