Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-08 01:45 UTC

center-for-threat-informed-defense / attack-control-framework-mappings

🚨ATTENTION🚨 The NIST 800-53 mappings have migrated to the Center’s Mappings Explorer project. See README below. This repository is kept here as an archive.

PythonApache-2.0★ 501 stars⑂ 91 forkssince Apr 2020archivedView on GitHub ↗

center-for-threat-informed-defense/attack-control-framework-mappings holds a health index of 19 out of 100, placing it in the Critical band. It scores highest on Engineering Quality (88/100) and lowest on Vitality (18/100). The repository is archived, so no further maintenance is expected.

19
overall / 100
Critical

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.

19
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 52 is calibrated to 53 on the published index scale (record calibration 2026-08-02).

Ownership

1,419 followers31 public repossince Oct 2019

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

Metrics by category

Vitality

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

18Critical · 21% of overall
How it's scored
0/36Push recency — last push 917 days ago
0/36Commit cadence — 0/52 weeks with commits
0/18Commit volume — 0 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year0
human_commit_share0.98
days_since_last_push917
active_weeks_last_year0
How it's scored
27/27Ships releases — 8 releases published
0/36Release recency — latest release 1,210 days ago
12.6/27Release cadence — a release every ~130.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count8
latest_release_tagv1.6.1
releases_from_tagsno
days_since_latest_release1,210
mean_days_between_releases130.4

Community & Adoption

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

69Good · 17% of overall
How it's scored
43.8/60Stars — 501 stars
16.3/25Forks — 91 forks
8.5/15Watchers — 35 watchers
Inputs used
forks91
stars501
watchers35
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

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

65Good · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
7.2/22.5Commit distribution — top contributor authored 68% of commits
13.5/13.5Contributor breadth — 10 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled10
top_contributor_share0.678
How it's scored
42/42Issue resolution — 100% of issues closed
23.5/30PR acceptance — 51/65 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs51
open_issues0
closed_issues35
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio1
closed_unmerged_prs14
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
0/20Verified domain
22.7/25Owner reach — 1,419 followers of center-for-threat-informed-defense
23/25Track record — 31 public repos, account ~6 yr old
Inputs used
followers1,419
owner_typeOrganization
is_verifiedno
owner_logincenter-for-threat-informed-defense
public_repos31
account_age_days2,538

Engineering Quality

Are baseline engineering and documentation practices in place?

88Excellent · 19% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
16/16Linter config — 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

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://center-for-threat-informed-defense.github.io/mappings-explorer/external/nist/
10/10Repository description
10/10Topics — 9 topics
10/10Wiki
Inputs used
topicscti, cyber-threat-intelligence, mitre-attack, cybersecurity, nist800-53, security-controls, ctid, threat-informed-defense, risk-management
has_wikiyes
homepagehttps://center-for-threat-informed-defense.github.io/mappings-explorer/external/nist/
docs_sitehttps://center-for-threat-informed-defense.github.io/mappings-explorer/external/nist/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

21At Risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestsrequirements/requirements.txt
has_codeql_workflowno
has_security_policyno
has_dependabot_configno

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
advisories24
affected_packages3
assessed_packages11
unassessed_packages5
affected_by_severityhigh 2, low 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 11 resolved dependencies against OSV. 5 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

38Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
18.5/40Legible commit history — 34 of 98 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.347
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — tox.ini
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 2 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.02
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/9 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes13,710
source_files_sampled9
oversized_source_files0

Key facts

501GitHub stars
10contributors
0commits, last 12 months
917days since last push
8releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 91 ⇿
0Stars
91Forks
7Releases

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.

0204060801009162020-122023-102026-07
Major 0Minor 2Patch 2

Each point covers 6 days.

All dependencies 16

Full resolved dependency set from the GitHub dependency graph: 0 direct and 16 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbandit1.7.0indirect
PyPIcolorama0.4.3indirect
PyPIflake8—indirect
PyPImarkdown3.2.2indirect
PyPIopenpyxl3.0.7indirect
PyPIpandas2.0.2indirect
PyPIpytest—indirect
PyPIpytest-cov2.11.1indirect
PyPIpytest-flake81.0.7indirect
PyPIpytest-mock3.5.1indirect
PyPIpytest-pythonpath—indirect
PyPIsafety—indirect
PyPIstix23.0.0indirect
PyPItox—indirect
PyPItqdm4.45.0indirect
PyPIurllib31.26.5indirect
Dependency advisories 3

This repository publishes no package the index resolves, so its own dependency graph was assessed — 11 packages, which also include development and test pins that never ship: 3 carry known advisories, of which 0 are direct. 5 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
markdown3.2.2indirecthigh23.8.1
urllib31.26.5indirecthigh202.8.0
tqdm4.45.0indirectlow24.66.3

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.