Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-19 11:25 UTC

aws-samples / hardeneks

Runs checks to see if an EKS cluster follows EKS Best Practices.

PythonMIT-0★ 958 stars⑂ 94 forkssince Dec 2022View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

aws-samples/hardeneks holds a health index of 91 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (96/100) and lowest on AI Readiness (48/100). It was last updated 43 days ago. 2 contributors account for most of its recent work.

91
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.

91
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 77 is calibrated to 91 on the published index scale (record calibration 2026-08-02).

Ownership

AWS SamplesOrganization · verified domain
18,568 followers9,162 public repossince Sep 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIhardeneks1.1.13673457 days ago

Metrics by category

Vitality

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

67Good · 21% of overall
How it's scored
18/36Push recency — last push 43 days ago
9.7/36Commit cadence — 14/52 weeks with commits
18/18Commit volume — 107 commits in the last year
5/10OpenSSF Scorecard: Maintained — 6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
Inputs used
commits_last_year107
human_commit_share0.86
days_since_last_push43
active_weeks_last_year14
How it's scored
27/27Ships releases — 24 releases published
36/36Release recency — latest release 57 days ago
19.8/27Release cadence — a release every ~119.2 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count24
latest_release_tagv1.1.1
releases_from_tagsno
days_since_latest_release57
mean_days_between_releases119.2
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?

80Excellent · 17% of overall
How it's scored
48.4/60Stars — 958 stars
16.4/25Forks — 94 forks
4.7/15Watchers — 8 watchers
Inputs used
forks94
stars958
watchers8
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT-0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, github.com, shields.io
has_pull_request_templateyes

Sustainability & Governance

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

79Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
12.4/22.5Commit distribution — top contributor authored 45% of commits
13.5/13.5Contributor breadth — 12 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor2
contributors_sampled12
top_contributor_share0.448
How it's scored
35.3/42Issue resolution — 84% of issues closed
27.2/30PR acceptance — 58/64 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/5 approved changesets -- score normalized to 0
Inputs used
merged_prs58
open_issues4
closed_issues21
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.84
closed_unmerged_prs6
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.
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 18,568 followers of aws-samples
25/25Track record — 9,162 public repos, account ~11 yr old
Inputs used
followers18,568
owner_typeOrganization
is_verifiedyes
owner_loginaws-samples
public_repos9,162
account_age_days4,375

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 57 days ago
20/20Version history — 34 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageshardeneks
ecosystemspypi
any_deprecatedno
min_days_since_publish57

Engineering Quality

Are baseline engineering and documentation practices in place?

96Exceptional · 19% of overall
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — .flake8, pyproject.toml ([tool.black]), tox.ini
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 12 out of 12 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

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://aws-samples.github.io/hardeneks/
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicsaws, best-practices, eks, k8s
has_wikiyes
homepagehttps://aws-samples.github.io/hardeneks/
docs_sitehttps://aws-samples.github.io/hardeneks/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

66Good · 16% of overall
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 12 out of 12 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 0/5 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
3.8/7.5Maintained — 6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5.8
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 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_packages31
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:hardeneks@1.1.1 runtime dependency closure — what installing the published package pulls in — 31 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.

48Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 73 of 86 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.849
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — .flake8, pyproject.toml ([tool.black]), tox.ini
0/11Static type checking
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 12 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.12
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/45 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes14,205
source_files_sampled45
oversized_source_files0

Key facts

958GitHub stars
12contributors
107commits, last 12 months
43days since last push
24releases
2bus factor
4open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 94 ⇿
0Stars
94Forks
19Releases

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.

02040608010092182022-122024-092026-06
Major 1Minor 6Patch 12

Each point covers 4 days.

OpenSSF Scorecard 5.8 / 10
5.8aggregate

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 · 2026-09-19 11:25 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests12 out of 12 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 0/5 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
5Maintained6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPItyper^0.24.0pyproject.toml
PyPIkubernetes^32.0.1pyproject.toml
PyPIboto3^1.35.9pyproject.toml
All dependencies 55

Full resolved dependency set from the GitHub dependency graph: 3 direct and 52 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIboto31.42.59direct
PyPIkubernetes32.0.1direct
PyPItyper0.24.1direct
PyPIannotated-doc0.0.4indirect
PyPIbotocore1.42.59indirect
PyPIcachetools7.0.1indirect
PyPIcertifi2024.8.30indirect
PyPIcffi2.0.0indirect
PyPIcfgv3.4.0indirect
PyPIcharset-normalizer3.4.0indirect
PyPIclick8.3.1indirect
PyPIcolorama0.4.6indirect
PyPIcommonmark0.9.1indirect
PyPIcoverage7.6.1indirect
PyPIcryptography50.0.0indirect
PyPIdistlib0.3.9indirect
PyPIdurationpy0.10indirect
PyPIexceptiongroup1.2.2indirect
PyPIfilelock3.25.0indirect
PyPIgoogle-auth2.48.0indirect
PyPIidentify2.6.1indirect
PyPIidna3.15indirect
PyPIiniconfig2.0.0indirect
PyPIjmespath1.0.1indirect
PyPInodeenv1.9.1indirect
PyPIoauthlib3.2.2indirect
PyPIpackaging26.0indirect
PyPIplatformdirs4.9.2indirect
PyPIpluggy1.6.0indirect
PyPIpre-commit4.5.1indirect
PyPIpyasn10.6.4indirect
PyPIpyasn1-modules0.4.2indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpyproject-api1.10.0indirect
PyPIpytest9.0.3indirect
PyPIpytest-cov6.3.0indirect
PyPIpytest-datadir1.8.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-discovery1.1.0indirect
PyPIpyyaml6.0.2indirect
PyPIrequests2.33.0indirect
PyPIrequests-oauthlib2.0.0indirect
PyPIrich12.6.0indirect
PyPIrsa4.9.1indirect
PyPIs3transfer0.16.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.16.0indirect
PyPItomli2.4.0indirect
PyPItox4.47.0indirect
PyPItox-gh-actions3.5.0indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.7.0indirect
PyPIvirtualenv21.1.0indirect
PyPIwebsocket-client1.8.0indirect
Dependency advisories 0

Installing pypi:hardeneks@1.1.1 pulls in 31 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 statistics — PyPI.