Public record
Software health reportschema 0.27.0 · metrics 2.10.0 · 2026-07-23 22:06 UTC

ethanolivertroy / wilma

Wilma - AWS Bedrock Security Configuration Checker

PythonGPL-3.0★ 3 stars⑂ 1 forksince May 2025View on GitHub ↗

ethanolivertroy/wilma holds a health index of 78 out of 100, placing it in the Good band. It scores highest on Vitality (82/100) and lowest on Community & Adoption (39/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

78
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.

78
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 67 is calibrated to 78 on the published index scale (record calibration 2026-08-02).

Ownership

Ethan TroyPersonal account
220 followers198 public repossince Apr 2020Cursor

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIwilma-sec1.1.0-3259 days agoawsbedrocksecuritygenaiaimlauditcompliancewilma

Metrics by category

Vitality

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

82Excellent · 21% of overall
How it's scored
36/36Push recencylast push 2 days ago
7.6/36Commit cadence11/52 weeks with commits
16.8/18Commit volume74 commits in the last year
10/10OpenSSF Scorecard: Maintained11 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year74
human_commit_share0.865
days_since_last_push2
active_weeks_last_year11

Release discipline

100Exceptional
How it's scored
27/27Ships releases2 releases published
36/36Release recencylatest release 2 days ago
27/27Release cadencea release every ~3.7 days
0/10OpenSSF Scorecard: Signed-Releasesno data
Inputs used
releases_count2
latest_release_tagv0.2.2
releases_from_tagsno
days_since_latest_release2
mean_days_between_releases3.7
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?

39Weak · 17% of overall
How it's scored
4.9/60Stars3 stars
0/25Forks1 forks
0/15Watchers0 watchers
Inputs used
forks1
stars3
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized license (GPL-3.0)
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services
has_pull_request_templateyes

Sustainability & Governance

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

53Moderate · 23% of overall
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
1.4/22.5Commit distributiontop contributor authored 94% of commits
2.7/13.5Contributor breadth2 contributors
6/10OpenSSF Scorecard: Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.938
How it's scored
41.3/42Issue resolution98% of issues closed
8.8/30PR acceptance17/58 decided PRs merged
0/13Newcomer PR acceptanceno first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-ReviewFound 0/10 approved changesets -- score normalized to 0
Inputs used
merged_prs17
open_issues1
closed_issues62
prs_merged_7d
prs_decided_7d
prs_merged_30d
prs_decided_30d
issue_closed_ratio0.984
closed_unmerged_prs41
first_time_authors_30d
first_time_prs_merged_30d
first_time_prs_decided_30d
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backingpersonal (user) account
0/20Verified domainnot applicable to user accounts
16.9/25Owner reach220 followers of ethanolivertroy
25/25Track record198 public repos, account ~6 yr old
Inputs used
followers220
owner_typeUser
is_verified
owner_loginethanolivertroy
public_repos198
account_age_days2,287
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable1 package(s) on pypi
26/35Publish recencylatest publish 259 days ago
12/20Version history3 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packageswilma-sec
ecosystemspypi
any_deprecatedno
min_days_since_publish259

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 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-Tests15 out of 15 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

60Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
10/10Topics5 topics
10/10Wiki
Inputs used
topicsaws, bedrock, genai, llm, security
has_wikiyes
homepage
docs_site
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

81Excellent · 16% of overall
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
0/7.5Branch-Protectionno data
2.5/2.5CI-Tests15 out of 15 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
0/7.5Code-ReviewFound 0/10 approved changesets -- score normalized to 0
1.5/2.5Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
7.5/7.5Maintained11 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packagingno data
2/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
0/7.5Signed-Releasesno data
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
6/7.5Vulnerabilities2 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate7.6
Excluded from scoring (no data or not applicable): Branch-Protection, 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_packages10
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:wilma-sec@1.1.0 runtime dependency closure — what installing the published package pulls in — 10 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.

65Good · 4% of overall
How it's scored
45/45Agent instructionsCLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history57 of 64 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.891
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes11,688
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config
0/11Static type checking
0/10Reproducible environment
10/10Demonstrated agent practice20 of the last 74 commits agent-authored or agent-credited
8/8Automated maintenance10 of the last 74 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configs
agent_commit_share0.27
toolchain_manifests
dependency_bot_commit_share0.135
How it's scored
0/45Type-checkable codePython without a type-check config
50.9/55Manageable file sizes3/40 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes125,690
source_files_sampled40
oversized_source_files3

Key facts

3GitHub stars
2contributors
74commits, last 12 months
2days since last push
2releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

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

More detail

OpenSSF Scorecard 7.6 / 10
7.6aggregate

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 · 2026-07-23 22:05 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-Tests15 out of 15 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 0/10 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained11 commit(s) and 1 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIboto3>=1.43.51,<2.0.0pyproject.toml
PyPIbotocore>=1.43.51,<2.0.0pyproject.toml
PyPIrich>=15.0.0,<16.0.0pyproject.toml
PyPIpyyaml>=6.0.3,<7.0.0pyproject.toml
All dependencies 19

Full resolved dependency set from the GitHub dependency graph: 4 direct and 15 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIboto3direct
PyPIbotocoredirect
PyPIpyyamldirect
PyPIrichdirect
PyPIbanditindirect
PyPIboto3-stubsindirect
PyPIbuildindirect
PyPIipythonindirect
PyPImotoindirect
PyPImypyindirect
PyPIpre-commitindirect
PyPIpytestindirect
PyPIpytest-covindirect
PyPIpytest-mockindirect
PyPIpytest-xdistindirect
PyPIruffindirect
PyPIsetuptoolsindirect
PyPItwineindirect
PyPItypes-pyyamlindirect
Dependency advisories 0

Installing pypi:wilma-sec@1.1.0 pulls in 10 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 v0.27.0 — full methodology · metrics wiki.

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