Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-06 00:24 UTC

ApodexAI / AgentCore

The core of FrontierHarness

PythonApache-2.0★ 6 stars⑂ 1 forksince Aug 2026View on GitHub ↗
KindLibraryhow this is determined

ApodexAI/AgentCore holds a health index of 67 out of 100, placing it in the Good band. It scores highest on Engineering Quality (80/100) and lowest on Community & Adoption (38/100). It was last updated today. A single contributor accounts for most of its recent work.

67
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.

67
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 61 is calibrated to 67 on the published index scale (record calibration 2026-08-02).

Ownership

ApodexOrganization
301 followers4 public repossince Apr 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIapodex-agent-core0.14.07,195160 days agoagentagent-loopllmruntimetool-calling

Metrics by category

Vitality

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

71Good · 21% of overall

Development activity

58Moderate
How it's scored
36/36Push recency — last push 0 days ago
4.2/36Commit cadence — 6/52 weeks with commits
18/18Commit volume — 212 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year212
human_commit_share1
days_since_last_push0
active_weeks_last_year6

Release discipline

90Excellent
How it's scored
27/27Ships releases — 16 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~3.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count16
latest_release_tagv0.14.0
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases3.3

Community & Adoption

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

38Weak · 17% of overall

Popularity & adoption

11Critical
How it's scored
11.3/60Stars — 6 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars6
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

64Moderate
How it's scored
51.4/80Monthly downloads — 7,195 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesapodex-agent-core
dependents—
ecosystemspypi
total_downloads—
monthly_downloads7,195
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?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

15Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.2/22.5Commit distribution — top contributor authored 99% of commits
2.7/13.5Contributor breadth — 2 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.991

Issue & PR responsiveness

79Good
How it's scored
35/42Issue resolution — 83% of issues closed
29.5/30PR acceptance — 56/57 decided PRs merged
13/13Newcomer PR acceptance — 2/2 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 2/11 approved changesets -- score normalized to 1
Inputs used
merged_prs56
open_issues1
closed_issues5
prs_merged_7d12
prs_decided_7d12
prs_merged_30d31
prs_decided_30d31
issue_closed_ratio0.833
closed_unmerged_prs1
first_time_authors_30d1
first_time_prs_merged_30d2
first_time_prs_decided_30d2

Ownership & stewardship

54Moderate
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
17.8/25Owner reach — 301 followers of ApodexAI
6/25Track record — 4 public repos, account ~0 yr old
Inputs used
followers301
owner_typeOrganization
is_verifiedno
owner_loginApodexAI
public_repos4
account_age_days172

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 16 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesapodex-agent-core
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 2 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 — 11 out of 11 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

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

55Moderate · 16% of overall

Security posture

44Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — no data
2.5/2.5CI-Tests — 11 out of 11 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
0.8/7.5Code-Review — Found 2/11 approved changesets -- score normalized to 1
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
4/5SAST — SAST tool is not run on all commits -- score normalized to 8
0/5Security-Policy — security policy file not 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_aggregate4.4
Excluded from scoring (no data or not applicable): Branch-Protection. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories6
affected_packages1
assessed_packages46
unassessed_packages0
affected_by_severityhigh 1
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 46 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.

63Moderate · 4% of overall

Agent context & guidance

40Weak
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 96 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.96
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

74Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — agent_core/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 37 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsagent_core/py.typed
agent_commit_share0.37
toolchain_manifests—
dependency_bot_commit_share0

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (agent_core/py.typed)
54.4/55Manageable file sizes — 3/292 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes103,503
source_files_sampled292
oversized_source_files3

Key facts

6GitHub stars
2contributors
212commits, last 12 months
0days since last push
16releases
1bus factor
1open 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:apodex-agent-core@0.14.0; advisories assessed against the repository dependency graph instead

More detail

OpenSSF Scorecard 4.4 / 10
4.4aggregate

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 · 2026-10-06 00:24 UTC

10Binary-Artifactsno binaries found in the repo
n/aBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests11 out of 11 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 2/11 approved changesets -- score normalized to 1
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
8SASTSAST tool is not run on all commits -- score normalized to 8
0Security-Policysecurity policy file not 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 6
RegistryPackageVersion constraintManifest
PyPIanthropic>=0.69pyproject.toml
PyPIhttpx>=0.27,<1pyproject.toml
PyPIjinja2>=3.1pyproject.toml
PyPIopenai>=1.0pyproject.toml
PyPIpydantic>=2.0pyproject.toml
PyPIpyyaml>=6.0pyproject.toml
All dependencies 46

Full resolved dependency set from the GitHub dependency graph: 6 direct and 40 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIanthropic1.11.0direct
PyPIhttpx0.28.1direct
PyPIjinja23.1.6direct
PyPIopenai3.7.0direct
PyPIpydantic2.13.5direct
PyPIpyyaml6.0.3direct
PyPIannotated-types0.8.0indirect
PyPIanyio4.14.2indirect
PyPIapodex-agent-core0.14.0indirect
PyPIboto31.43.86indirect
PyPIbotocore1.43.86indirect
PyPIcertifi2026.7.22indirect
PyPIcharset-normalizer3.5.1indirect
PyPIcolorama0.4.6indirect
PyPIdocstring-parser0.18.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.12.0indirect
PyPIhttpx22.12.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIjiter0.16.0indirect
PyPIjmespath1.1.0indirect
PyPImarkupsafe3.0.3indirect
PyPInodeenv1.10.0indirect
PyPInodejs-wheel-binaries24.19.0indirect
PyPIpackaging26.3indirect
PyPIpluggy1.6.0indirect
PyPIpydantic-core2.46.5indirect
PyPIpygments2.21.0indirect
PyPIpyright1.1.411indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIregex2026.8.31indirect
PyPIrequests2.34.2indirect
PyPIruff0.16.5indirect
PyPIs3transfer0.19.2indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPItiktoken0.14.0indirect
PyPItruststore0.10.4indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.7.0indirect
Dependency advisories 1

This repository publishes no package the index resolves, so its own dependency graph was assessed — 46 packages, which also include development and test pins that never ship: 1 carry known advisories, of which 0 are direct.

PackageVersionRelationSeverityAdvisoriesFixed in
urllib32.7.0indirecthigh62.8.0

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.