Public record
Software health reportschema 0.12.0 · metrics 2.10.0 · 2026-07-17 21:13 UTC

zrk222 / code-factory

Proof-first software factory for AI-assisted code: specs, adversarial gates, deterministic decisions, and reviewable receipts.

PythonCustom license★ 0 stars⑂ 0 forkssince Jul 2026View on GitHub ↗
KindLibraryhow this is determined
#ai-agents#claude-code#codex#deterministic#llm#prompt-injection#python#software-factory#workflow-engine#ai-engineering#developer-tools#open-source#software-quality#supply-chain-security#testing#python-3#python-package

zrk222/code-factory holds a health index of 54 out of 100, placing it in the Moderate band. It scores highest on Engineering Quality (81/100) and lowest on Security (33/100). It was last updated today. A single contributor accounts for most of its recent work.

54
overall / 100
Moderate

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.

54
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 53 is calibrated to 54 on the published index scale (record calibration 2026-08-02).

Ownership

zrk222Personal account
0 followers9 public repossince Feb 2025

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
PyPIfactoryline-code-factory0.17.12,590300 days agosoftware-factoryai-agentsmutation-testingrelease-evidencedeveloper-tools

Metrics by category

Vitality

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

68Good · 21% of overall

Development activity

53Moderate
How it's scored
36/36Push recency — last push 0 days ago
1.4/36Commit cadence — 2/52 weeks with commits
15.9/18Commit volume — 58 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year58
human_commit_share—
days_since_last_push0
active_weeks_last_year2

Release discipline

90Excellent
How it's scored
27/27Ships releases — 35 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~0.4 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count35
latest_release_tagv0.17.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases0.4

Community & Adoption

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

45Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

86Excellent
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
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_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateyes

Ecosystem adoption (downloads)

57Moderate
How it's scored
45.5/80Monthly downloads — 2,590 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesfactoryline-code-factory
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,590
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

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

38Weak · 23% of overall

Maintainer resilience (bus factor)

10Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

34At Risk
How it's scored
0/42Issue resolution — 0% of issues closed
30/30PR acceptance — 5/5 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/23 approved changesets -- score normalized to 0
Inputs used
merged_prs5
open_issues1
closed_issues0
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0
closed_unmerged_prs0
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.

Ownership & stewardship

25At Risk
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
0/25Owner reach — 0 followers of zrk222
10.1/25Track record — 9 public repos, account ~1 yr old
Inputs used
followers0
owner_typeUser
is_verified—
owner_loginzrk222
public_repos9
account_age_days518
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 30 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesfactoryline-code-factory
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 8 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://pypi.org/project/factoryline-code-factory/
10/10Repository description
10/10Topics — 17 topics
10/10Wiki
Inputs used
topicsai-agents, claude-code, codex, deterministic, llm, prompt-injection, python, software-factory, workflow-engine, ai-engineering, developer-tools, open-source, software-quality, supply-chain-security, testing, python-3, python-package
has_wikiyes
homepagehttps://pypi.org/project/factoryline-code-factory/
docs_sitehttps://pypi.org/project/factoryline-code-factory/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

33At Risk · 16% of overall

Security posture

33At Risk
How it's scored
6.8/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 5 out of 5 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 0/23 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
5.2/7.5Vulnerabilities — 3 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate3.3

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.

49Weak · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

54Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — editors/vscode/tsconfig.json
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configseditors/vscode/tsconfig.json
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (editors/vscode/tsconfig.json)
53.6/55Manageable file sizes — 2/76 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes82,860
source_files_sampled76
oversized_source_files2

Machine-readable interfaces

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

Key facts

0GitHub stars
1contributors
58commits, last 12 months
0days since last push
35releases
1bus factor
1open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 3.3 / 10
3.3aggregate

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 · 2026-07-17 21:13 UTC

9Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests5 out of 5 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 0/23 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
7Vulnerabilities3 existing vulnerabilities detected
Direct dependencies 1
RegistryPackageVersion constraintManifest
PyPIcryptography>=42,<50pyproject.toml
All dependencies 504

Full resolved dependency set from the GitHub dependency graph: 1 direct and 503 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIcryptography—direct
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npmhtml-entities2.6.0indirect
npmhtmlparser210.1.0indirect
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npmhttps-proxy-agent7.0.6indirect
npmhuman-signals2.1.0indirect
npmiconv-lite0.6.3indirect
npmieee7541.2.1indirect
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npmis-docker2.2.1indirect
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npmis-fullwidth-code-point3.0.0indirect
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npmis-inside-container1.0.0indirect
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npmis-wsl2.2.0indirect
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npmjs-tokens4.0.0indirect
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npmjson52.2.3indirect
npmjsonc-parser3.3.1indirect
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npmjsonwebtoken9.0.3indirect
npmjwa2.0.1indirect
npmjws4.0.1indirect
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npmlinkify-it5.0.2indirect
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npmmarkdown-it14.3.0indirect
npmmath-intrinsics1.1.0indirect
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npmmediabunny1.39.2indirect
npmmemfs3.4.3indirect
npmmerge-stream2.0.0indirect
npmmerge21.4.1indirect
npmmicromatch4.0.8indirect
npmmime1.6.0indirect
npmmime-db1.52.0indirect
npmmime-types2.1.35indirect
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npmmimic-response3.1.0indirect
npmminimatch10.2.5indirect
npmminimist1.2.6indirect
npmminimist1.2.8indirect
npmminipass7.1.3indirect
npmmkdirp-classic0.5.3indirect
npmms2.1.3indirect
npmmute-stream0.0.8indirect
npmnanoid3.3.16indirect
npmnapi-build-utils2.0.0indirect
npmneo-async2.6.2indirect
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npmnode-addon-api4.3.0indirect
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npmnormalize-package-data6.0.2indirect
npmnpm-run-path4.0.1indirect
npmnth-check2.1.1indirect
npmobject-inspect1.13.4indirect
npmonce1.4.0indirect
npmonetime5.1.2indirect
npmopen10.2.0indirect
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npmparse-semver1.1.1indirect
npmparse57.3.0indirect
npmparse5-htmlparser2-tree-adapter7.1.0indirect
npmparse5-parser-stream7.1.2indirect
npmpath-key3.1.1indirect
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npmpend1.2.0indirect
npmpicocolors1.1.1indirect
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npmpluralize2.0.0indirect
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npmqueue-microtask1.2.3indirect
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npmrc-config-loader4.1.4indirect
npmreact19.2.4indirect
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npmread1.0.7indirect
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npmreusify1.1.0indirect
npmrun-applescript7.1.0indirect
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npmsafe-buffer5.2.1indirect
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npmstring_decoder1.3.0indirect
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npmstyle-loader4.0.0indirect
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npmzod4.3.6indirect
PyPIpytest—indirect
PyPIsetuptools—indirect
PyPIsigstore—indirect
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Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.12.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.