Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-18 19:42 UTC

tjstansell / cloud-custodian

Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources

PythonApache-2.0★ 0 stars⑂ 0 forkssince Aug 2018forkView on GitHub ↗
KindCommand-line toolNetwork servicehow this is determined

tjstansell/cloud-custodian holds a health index of 31 out of 100, placing it in the At Risk band. It scores highest on Engineering Quality (68/100) and lowest on Community & Adoption (12/100). It was last updated 1134 days ago. 3 contributors account for most of its recent work.

31
overall / 100
At Risk

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.

31
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 37 is calibrated to 31 on the published index scale (record calibration 2026-08-02).

Ownership

Todd StansellPersonal account
10 followers15 public repossince Aug 201323andMe

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 publish
PyPIc7npoints to another repo — not scored0.9.531,383,57415316 days ago
PyPIc7n_guardianpoints to another repo — not scored0.3.31632581 days ago
PyPIc7n_salactuspoints to another repo — not scored0.3.09103168 days ago
PyPIc7n_gcppoints to another repo — not scored0.4.5230,1476516 days ago
PyPIc7n_orgpoints to another repo — not scored0.6.528,226,8016916 days ago
PyPIc7n_kubepoints to another repo — not scored0.2.522,5515516 days ago
PyPIc7n_azurepoints to another repo — not scored0.7.5239,5176916 days ago
PyPIc7n_mailerpoints to another repo — not scored0.6.5251,9336916 days ago

Metrics by category

Vitality

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

20At Risk · 21% of overall

Development activity

1Critical
How it's scored
0/36Push recency — last push 1,134 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
Inputs used
commits_last_year0
human_commit_share1
days_since_last_push1,134
active_weeks_last_year0

Release discipline

48Weak
How it's scored
16.2/27Ships releases — 13 version tags (no GitHub releases)
0/36Release recency — latest release 3,702 days ago
27/27Release cadence — a release every ~12.5 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count13
latest_release_tag0.8.19
releases_from_tagsyes
days_since_latest_release3,702
mean_days_between_releases12.5
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?

12Critical · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 1 watchers
Inputs used
forks0
stars0
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

25At Risk
How it's scored
0/22.5README
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_readmeno
has_licenseno
readme_badges5
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_servicesbestpractices.coreinfrastructure.org, codecov.io, dev.azure.com, github.com, shields.io
has_pull_request_templateno

Sustainability & Governance

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

42Weak · 23% of overall

Maintainer resilience (bus factor)

72Good
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
13/22.5Commit distribution — top contributor authored 42% of commits
13.5/13.5Contributor breadth — 100 contributors
10/10OpenSSF Scorecard: Contributors — project has 19 contributing companies or organizations
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.423

Issue & PR responsiveness

1Critical
How it's scored
0/42Issue resolution — no issues or no data
0/30PR acceptance — no decided pull requests or no data
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

48Weak
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
7.5/25Owner reach — 10 followers of tjstansell
20.8/25Track record — 15 public repos, account ~13 yr old
Inputs used
followers10
owner_typeUser
is_verified—
owner_logintjstansell
public_repos15
account_age_days4,814
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Engineering Quality

Are baseline engineering and documentation practices in place?

68Good · 19% of overall

Engineering practices

80Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.black]), tox.ini
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.

Documentation

50Moderate
How it's scored
0/30README
25/25Documentation directory
15/15Documentation / homepage site — https://developer.capitalone.com/opensource-projects/cloud-custodian
0/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepagehttps://developer.capitalone.com/opensource-projects/cloud-custodian
docs_sitehttps://developer.capitalone.com/opensource-projects/cloud-custodian
has_readmeno
has_docs_diryes
has_descriptionno

Security

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

40Weak · 16% of overall

Security posture

25At Risk
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 19 contributing companies or organizations
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 — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 210 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate2.5
Excluded from scoring (no data or not applicable): CI-Tests, 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_packages18
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:c7n@0.9.53 runtime dependency closure — what installing the published package pulls in — 18 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.

50Moderate · 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 — 87 of 100 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.87
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

61Moderate
How it's scored
18/18One-command bootstrap — Makefile, tools/c7n_logexporter/Makefile, tools/cask/Makefile, tools/omnissm/Makefile, tools/omnissm/functions/Makefile, tools/omnissm/functions/enrich-registrations/Makefile, tools/omnissm/functions/es-upload/Makefile, tools/omnissm/functions/handle-registrations/Makefile, tools/omnissm/functions/manager-clean-up/Makefile, tools/omnissm/functions/process-config-events/Makefile, tools/omnissm/functions/process-deferred-actions/Makefile, tools/sandbox/c7n_sphere11/Makefile
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.black]), tox.ini
0/11Static type checking
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesgo.sum, poetry.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, tools/c7n_logexporter/Makefile, tools/cask/Makefile, tools/omnissm/Makefile, tools/omnissm/functions/Makefile, tools/omnissm/functions/enrich-registrations/Makefile, tools/omnissm/functions/es-upload/Makefile, tools/omnissm/functions/handle-registrations/Makefile, tools/omnissm/functions/manager-clean-up/Makefile, tools/omnissm/functions/process-config-events/Makefile, tools/omnissm/functions/process-deferred-actions/Makefile, tools/sandbox/c7n_sphere11/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifeststools/cask/go.mod, tools/omnissm/go.mod
dependency_bot_commit_share0

Code legibility for models

54Moderate
How it's scored
0/45Type-checkable code — Python without a type-check config
54.1/55Manageable file sizes — 13/777 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes136,041
source_files_sampled777
oversized_source_files13

Machine-readable interfaces

40Weak
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

0GitHub stars
100contributors
0commits, last 12 months
1,134days since last push
13releases
3bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Community profile unavailable
  • pypi package 'c7n' points at a different repository (https://github.com/cloud-custodian/cloud-custodian); excluded from ecosystem scoring
  • Could not fetch pypi package 'c7n_sentry' from its registry
  • pypi package 'c7n_guardian' points at a different repository (https://github.com/cloud-custodian/cloud-custodian); excluded from ecosystem scoring
  • pypi package 'c7n_salactus' points at a different repository (https://github.com/capitalone/cloud-custodian); excluded from ecosystem scoring
  • pypi package 'c7n_gcp' points at a different repository (https://github.com/cloud-custodian/cloud-custodian); excluded from ecosystem scoring
  • pypi package 'c7n_org' points at a different repository (https://github.com/cloud-custodian/cloud-custodian); excluded from ecosystem scoring
  • pypi package 'c7n_kube' points at a different repository (https://github.com/cloud-custodian/cloud-custodian); excluded from ecosystem scoring
  • pypi package 'c7n_azure' points at a different repository (https://github.com/cloud-custodian/cloud-custodian); excluded from ecosystem scoring
  • pypi package 'c7n_mailer' points at a different repository (https://github.com/cloud-custodian/cloud-custodian); excluded from ecosystem scoring

More detail

OpenSSF Scorecard 2.5 / 10
2.5aggregate

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 · 2026-10-18 19:42 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
10Contributorsproject has 19 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities210 existing vulnerabilities detected
Direct dependencies 107
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Full resolved dependency set from the GitHub dependency graph: 94 direct and 19 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIazure-mgmt-databricks1.0.0b1direct
PyPIazure-mgmt-datafactory—direct
PyPIazure-mgmt-datalake-store—direct
PyPIazure-mgmt-dns8.0.0b1direct
PyPIazure-mgmt-eventgrid—direct
PyPIazure-mgmt-eventhub—direct
PyPIazure-mgmt-frontdoor—direct
PyPIazure-mgmt-hdinsight—direct
PyPIazure-mgmt-iothub—direct
PyPIazure-mgmt-keyvault—direct
PyPIazure-mgmt-logic—direct
PyPIazure-mgmt-managementgroups1.0.0b1direct
PyPIazure-mgmt-monitor—direct
PyPIazure-mgmt-msi—direct
PyPIazure-mgmt-network—direct
PyPIazure-mgmt-policyinsights—direct
PyPIazure-mgmt-rdbms—direct
PyPIazure-mgmt-redis—direct
PyPIazure-mgmt-resource—direct
PyPIazure-mgmt-resourcegraph—direct
PyPIazure-mgmt-search—direct
PyPIazure-mgmt-servicefabric—direct
PyPIazure-mgmt-sql—direct
PyPIazure-mgmt-storage—direct
PyPIazure-mgmt-subscription—direct
PyPIazure-mgmt-trafficmanager—direct
PyPIazure-mgmt-web—direct
PyPIazure-storage-blob—direct
PyPIazure-storage-file—direct
PyPIazure-storage-file-share—direct
PyPIazure-storage-queue—direct
PyPIboto3—direct
PyPIclick—direct
PyPIcryptography—direct
PyPIdatadog—direct
PyPIdistlib—direct
PyPIdocutils—direct
PyPIgoogle-api-python-client—direct
PyPIgoogle-auth—direct
PyPIgoogle-cloud-logging—direct
PyPIgoogle-cloud-monitoring—direct
PyPIgoogle-cloud-storage—direct
PyPIjinja2—direct
PyPIjmespath—direct
PyPIjsonpatch—direct
PyPIjsonpointer—direct
PyPIjsonschema—direct
PyPIkubernetes—direct
PyPIldap3—direct
PyPImyst-parser—direct
PyPInetaddr—direct
PyPIopenstacksdk—direct
PyPIpygments—direct
PyPIpyjwt—direct
PyPIpython-dateutil—direct
PyPIpytz—direct
PyPIpyyaml—direct
PyPIratelimiter—direct
PyPIrecommonmark—direct
PyPIredis—direct
PyPIrequests—direct
PyPIretrying—direct
PyPIsendgrid—direct
PyPIsphinx—direct
PyPIsphinx-markdown-tables—direct
PyPIsphinx-rtd-theme—direct
PyPItabulate—direct
PyPItyping-extensions—direct
PyPIaws-xray-sdk—indirect
PyPIcoverage—indirect
PyPIfakeredis—indirect
PyPIflake8—indirect
PyPImock—indirect
PyPIparameterized—indirect
PyPIplacebo—indirect
PyPIpsutil—indirect
PyPIpytest—indirect
PyPIpytest-cov—indirect
PyPIpytest-sugar—indirect
PyPIpytest-terraform—indirect
PyPIpytest-xdist—indirect
PyPIpython—indirect
PyPIpython-hcl2—indirect
PyPIrich—indirect
PyPItwine—indirect
PyPIvcrpy—indirect
PyPIvcrpy-unittest—indirect
Dependency advisories 0

Installing pypi:c7n@0.9.53 pulls in 18 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

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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.