Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-15 23:43 UTC

MythologIQ-Labs-LLC / Qor-logic

A gated prompt framework for AI Agents, initially for SDLC integration and expanded to greater governance needs.

PythonCustom license★ 4 stars⑂ 0 forkssince Dec 2025View on GitHub ↗
KindLibraryCommand-line toolhow this is determined

MythologIQ-Labs-LLC/Qor-logic holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (83/100) and lowest on Community & Adoption (40/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

77
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.

77
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 66 is calibrated to 77 on the published index scale (record calibration 2026-08-02).

Ownership

3 followers11 public repossince Apr 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIqor-logic0.172.22,7201824 days agogovernanceaiclaude-codekilo-codecodexsdlcskills

Metrics by category

Vitality

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

83Excellent · 21% of overall
How it's scored
36/36Push recency — last push 1 days ago
15.2/36Commit cadence — 22/52 weeks with commits
18/18Commit volume — 766 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year766
human_commit_share0.99
days_since_last_push1
active_weeks_last_year22
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count100
latest_release_tagv0.172.2
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases1

Community & Adoption

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

40Weak · 17% of overall
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
16.9/22.5License — license file present, not a recognized license
18/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges12
has_contributingyes
has_issue_templateno
has_code_of_conductno
readme_badge_servicesshields.io
has_pull_request_templateno
How it's scored
45.8/80Monthly downloads — 2,720 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesqor-logic
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,720
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?

55Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.4/22.5Commit distribution — top contributor authored 98% of commits
2.7/13.5Contributor breadth — 2 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.982
How it's scored
38.6/42Issue resolution — 92% of issues closed
27.8/30PR acceptance — 235/254 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/14 approved changesets -- score normalized to 0
Inputs used
merged_prs235
open_issues19
closed_issues215
prs_merged_7d6
prs_decided_7d6
prs_merged_30d56
prs_decided_30d59
issue_closed_ratio0.919
closed_unmerged_prs19
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
4.3/25Owner reach — 3 followers of MythologIQ-Labs-LLC
8.8/25Track record — 11 public repos, account ~0 yr old
Inputs used
followers3
owner_typeOrganization
is_verifiedno
owner_loginMythologIQ-Labs-LLC
public_repos11
account_age_days164

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 182 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesqor-logic
ecosystemspypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 14 out of 14 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
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

71Good · 16% of overall
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 — 14 out of 14 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 0/14 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
6.8/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.4

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_packages6
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:qor-logic@0.172.2 runtime dependency closure — what installing the published package pulls in — 6 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.

75Good · 4% of overall
How it's scored
45/45Agent instructions — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.md, docs/archive/2026-04-15/ingest/scripts/composition-patterns/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/react-best-practices/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/react-native-skills/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/rust-skills/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/rust-skills/CLAUDE.md, docs/archive/2026-04-15/ingest/skills/composition-patterns/AGENTS.md, docs/archive/2026-04-15/ingest/skills/react-best-practices/AGENTS.md, docs/archive/2026-04-15/ingest/skills/react-native-skills/AGENTS.md, docs/archive/2026-04-15/ingest/skills/rust-skills/AGENTS.md, docs/archive/2026-04-15/ingest/skills/rust-skills/CLAUDE.md, qor/vendor/skills/composition-patterns/AGENTS.md, qor/vendor/skills/react-best-practices/AGENTS.md, qor/vendor/skills/react-native-skills/AGENTS.md, qor/vendor/skills/rust-skills/AGENTS.md, qor/vendor/skills/rust-skills/CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history — 94 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.949
agent_instruction_files.github/copilot-instructions.md, AGENTS.md, CLAUDE.md, GEMINI.md, docs/archive/2026-04-15/ingest/scripts/composition-patterns/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/react-best-practices/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/react-native-skills/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/rust-skills/AGENTS.md, docs/archive/2026-04-15/ingest/scripts/rust-skills/CLAUDE.md, docs/archive/2026-04-15/ingest/skills/composition-patterns/AGENTS.md, docs/archive/2026-04-15/ingest/skills/react-best-practices/AGENTS.md, docs/archive/2026-04-15/ingest/skills/react-native-skills/AGENTS.md, docs/archive/2026-04-15/ingest/skills/rust-skills/AGENTS.md, docs/archive/2026-04-15/ingest/skills/rust-skills/CLAUDE.md, qor/vendor/skills/composition-patterns/AGENTS.md, qor/vendor/skills/react-best-practices/AGENTS.md, qor/vendor/skills/react-native-skills/AGENTS.md, qor/vendor/skills/rust-skills/AGENTS.md, qor/vendor/skills/rust-skills/CLAUDE.md
agent_instruction_max_bytes81,716
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — qor/py.typed
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 1 of the last 100 commits are automated dependency updates
4/10OpenSSF Scorecard: Pinned-Dependencies — dependency 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_configsqor/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.01
How it's scored
27/45Type-checkable code — Python with type-check config (qor/py.typed)
55/55Manageable file sizes — 0/783 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes43,912
source_files_sampled783
oversized_source_files0
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, notebooks
Inputs used
example_dirsexamples, notebooks
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

4GitHub stars
2contributors
766commits, last 12 months
1days since last push
100releases
1bus factor
19open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'qor-logic' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download figures for qor-logic carried forward from the previous scan (stats endpoint unavailable this scan)

More detail

OpenSSF Scorecard 6.4 / 10
6.4aggregate

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 · 2026-09-15 23:43 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests14 out of 14 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 0/14 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
9Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
4Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 4
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
9Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIjsonschema>=4pyproject.toml
PyPIPyYAML>=6pyproject.toml
All dependencies 41

Full resolved dependency set from the GitHub dependency graph: 3 direct and 38 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjsonschema—direct
PyPIjsonschema4.26.0direct
PyPIpyyaml—direct
PyPIarrow1.4.0indirect
PyPIattrs26.1.0indirect
PyPIbandit—indirect
PyPIboolean-py5.0indirect
PyPIbuild1.6.0indirect
PyPIchardet5.2.0indirect
PyPIcyclonedx-bom7.3.1indirect
PyPIcyclonedx-python-lib11.7.0indirect
PyPIdefusedxml0.7.1indirect
PyPIfqdn1.5.1indirect
PyPIidna3.16indirect
PyPIisoduration20.11.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIlark1.3.1indirect
PyPIlicense-expression30.4.4indirect
PyPIlxml6.1.1indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.2indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIpy-serializable2.1.0indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytest—indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIreferencing0.37.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrpds-py0.30.0indirect
PyPIruff—indirect
PyPIsetuptools—indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPItyping-extensions4.15.0indirect
PyPItzdata2026.2indirect
PyPIuri-template1.3.0indirect
PyPIwebcolors25.10.0indirect
Dependency advisories 0

Installing pypi:qor-logic@0.172.2 pulls in 6 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 v0.34.0 — full methodology · metrics wiki.

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