Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-20 08:42 UTC

awslabs / aidlc-workflows

AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents

TypeScriptMIT-0★ 5,410 stars⑂ 975 forkssince Nov 2025View on GitHub ↗

awslabs/aidlc-workflows holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (96/100) and lowest on Sustainability & Governance (68/100). It was last updated today. A single contributor accounts for most of its recent work.

96
overall / 100
Exceptional

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.

96
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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

Amazon Web Services - LabsOrganization · verified domain
11,744 followers1,041 public repossince Jan 2013

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?

96Exceptional · 21% of overall

Development activity

93Exceptional
How it's scored
36/36Push recency — last push 0 days ago
29.1/36Commit cadence — 42/52 weeks with commits
18/18Commit volume — 1,674 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year1,674
human_commit_share0.94
days_since_last_push0
active_weeks_last_year42

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 45 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~1 days
10/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count45
latest_release_tagv2.11.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases1

Community & Adoption

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

93Exceptional · 17% of overall

Popularity & adoption

94Exceptional
How it's scored
60/60Stars — 5,410 stars
24.9/25Forks — 975 forks
9.4/15Watchers — 51 watchers
Inputs used
forks975
stars5,410
watchers51
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_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Sustainability & Governance

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

68Good · 23% of overall

Maintainer resilience (bus factor)

39Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.2/22.5Commit distribution — top contributor authored 72% of commits
13.5/13.5Contributor breadth — 71 contributors
10/10OpenSSF Scorecard: Contributors — project has 12 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled71
top_contributor_share0.724

Issue & PR responsiveness

72Good
How it's scored
30.4/42Issue resolution — 72% of issues closed
26/30PR acceptance — 1,654/1,908 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
3/15OpenSSF Scorecard: Code-Review — Found 8/30 approved changesets -- score normalized to 2
Inputs used
merged_prs1,654
open_issues231
closed_issues610
prs_merged_7d55
prs_decided_7d58
prs_merged_30d55
prs_decided_30d58
issue_closed_ratio0.725
closed_unmerged_prs254
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

100Exceptional
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
25/25Owner reach — 11,744 followers of awslabs
25/25Track record — 1,041 public repos, account ~13 yr old
Inputs used
followers11,744
owner_typeOrganization
is_verifiedyes
owner_loginawslabs
public_repos1,041
account_age_days5,023

Engineering Quality

Are baseline engineering and documentation practices in place?

82Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 18 workflow(s)
24/24Tests present
16/16Linter config — biome.json, eslint.config.js
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 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

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://awslabs.github.io/aidlc-workflows/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://awslabs.github.io/aidlc-workflows/
docs_sitehttps://awslabs.github.io/aidlc-workflows/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

78Good · 16% of overall

Security posture

73Good
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 — 30 out of 30 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
1.5/7.5Code-Review — Found 8/30 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 12 contributing companies or organizations
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
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 36 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.3
Excluded from scoring (no data or not applicable): Packaging. 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
advisories223
affected_packages25
assessed_packages226
unassessed_packages4
affected_by_severitycritical 5, high 13, moderate 7
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 226 resolved dependencies against OSV. 4 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.

84Excellent · 4% of overall

Agent context & guidance

85Excellent
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 94 of 94 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes27,121

Verify loop (build / test / typecheck)

73Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — biome.json, eslint.config.js
11/11Static type checking — tests/fixtures/brownfield-todo/tsconfig.json, tests/fixtures/v05-mr9-sensor-fire/failing-linter/tsconfig.json, tests/fixtures/v05-mr9-sensor-fire/failing-type-check/tsconfig.json, tests/fixtures/v05-mr9-sensor-fire/passing-typescript/tsconfig.json, tests/tsconfig.json, tsconfig.json
10/10Reproducible environment — lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 6 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configstests/fixtures/brownfield-todo/tsconfig.json, tests/fixtures/v05-mr9-sensor-fire/failing-linter/tsconfig.json, tests/fixtures/v05-mr9-sensor-fire/failing-type-check/tsconfig.json, tests/fixtures/v05-mr9-sensor-fire/passing-typescript/tsconfig.json, tests/tsconfig.json, tsconfig.json
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0.06

Code legibility for models

95Exceptional
How it's scored
45/45Type-checkable code — TypeScript (statically typed)
50/55Manageable file sizes — 115/1,255 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes1,831,275
source_files_sampled1,255
oversized_source_files115

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

5,410GitHub stars
71contributors
1,674commits, last 12 months
0days since last push
45releases
1bus factor
231open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'aidlc-workflows-docs' from its registry

More detail

Star and fork history 0 ★ / 975 ⇿
0Stars
975Forks
44Releases

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.

02004006008001,000967142025-112026-052026-10
Major 1Minor 6Patch 11
OpenSSF Scorecard 7.3 / 10
7.3aggregate

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 · 2026-10-20 08:42 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 8/30 approved changesets -- score normalized to 2
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities36 existing vulnerabilities detected
All dependencies 230

Full resolved dependency set from the GitHub dependency graph: 0 direct and 230 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIzipp4.1.0indirect
Dependency advisories 25

This repository publishes no package the index resolves, so its own dependency graph was assessed — 226 packages, which also include development and test pins that never ship: 25 carry known advisories, of which 0 are direct. 4 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
anyio4.13.0indirectcritical44.14.2
anyio4.14.0indirectcritical64.14.2
pillow12.2.0indirectcritical2612.3.0
pyjwt2.12.1indirectcritical292.15.0
pyjwt2.13.0indirectcritical282.15.0
aiohttp3.13.5indirecthigh313.14.4
aiohttp3.14.1indirecthigh93.14.4
aiohttp3.14.3indirecthigh33.14.4
cryptography48.0.0indirecthigh750.0.0
mcp1.23.3indirecthigh72.2.0
mcp1.28.0indirecthigh32.2.0
mcp1.29.0indirecthigh12.2.0
mistune3.2.1indirecthigh203.3.0
msgpack1.2.0indirecthigh21.2.1
python-multipart0.0.29indirecthigh80.0.31
soupsieve2.8.3indirecthigh82.9.0
starlette1.0.0indirecthigh101.3.1
urllib32.7.0indirecthigh62.8.0
cryptography49.0.0indirectmoderate250.0.0
multidict6.7.1indirectmoderate26.9.1
pip26.1.2indirectmoderate226.2.0
pydantic-settings2.14.1indirectmoderate12.14.2
setuptools82.0.1indirectmoderate283.0.0
soupsieve2.8.4indirectmoderate42.9.0
werkzeug3.1.8indirectmoderate23.1.9

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.

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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.