Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-18 20:51 UTC

QWED-AI / qwed-verification

Open-source AI verification infrastructure for deterministic verification of LLM outputs, tool calls, code, schemas, and agent state before production execution.

PythonApache-2.0★ 58 stars⑂ 13 forkssince Dec 2025View on GitHub ↗
KindLibraryCommand-line toolNetwork servicehow this is determined

QWED-AI/qwed-verification holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Vitality (91/100) and lowest on Community & Adoption (59/100). It was last updated today. A single contributor accounts for most of its recent work.

86
overall / 100
Excellent

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.

86
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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

QWEDOrganization · verified domain
8 followers14 public repossince Dec 2025

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

Package ecosystems

Metrics by category

Vitality

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

91Excellent · 21% of overall
How it's scored
36/36Push recency — last push 0 days ago
27/36Commit cadence — 39/52 weeks with commits
18/18Commit volume — 1,256 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_year1,256
human_commit_share0.96
days_since_last_push0
active_weeks_last_year39
How it's scored
27/27Ships releases — 22 releases published
36/36Release recency — latest release 4 days ago
27/27Release cadence — a release every ~18.1 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count22
latest_release_tagv7.2.1
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases18.1

Community & Adoption

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

59Moderate · 17% of overall
How it's scored
28.5/60Stars — 58 stars
9/25Forks — 13 forks
0/15Watchers — 1 watchers
Inputs used
forks13
stars58
watchers1
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 (Apache-2.0)
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_badges18
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicescodecov.io, shields.io, www.bestpractices.dev
has_pull_request_templateyes
How it's scored
38.4/80Monthly downloads — 764 downloads/month across crates, go, npm, pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesqwed, github.com/QWED-AI/qwed-verification, qwed, @qwed-ai/sdk
dependents—
ecosystemscrates, go, npm, pypi
total_downloads143
monthly_downloads764
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?

60Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.2/22.5Commit distribution — top contributor authored 94% of commits
4.1/13.5Contributor breadth — 3 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.945
How it's scored
28.2/42Issue resolution — 67% of issues closed
28.6/30PR acceptance — 228/239 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/18 approved changesets -- score normalized to 0
Inputs used
merged_prs228
open_issues41
closed_issues84
prs_merged_7d2
prs_decided_7d2
prs_merged_30d16
prs_decided_30d16
issue_closed_ratio0.672
closed_unmerged_prs11
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
20/20Verified domain
6.9/25Owner reach — 8 followers of QWED-AI
10.1/25Track record — 14 public repos, account ~0 yr old
Inputs used
followers8
owner_typeOrganization
is_verifiedyes
owner_loginQWED-AI
public_repos14
account_age_days274

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 4 package(s) on crates, go, npm, pypi
35/35Publish recency — latest publish 4 days ago
20/20Version history — 23 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesqwed, github.com/QWED-AI/qwed-verification, qwed, @qwed-ai/sdk
ecosystemscrates, go, npm, pypi
any_deprecatedno
min_days_since_publish4

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall
How it's scored
24/24CI workflows — 11 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 21 out of 21 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://docs.qwedai.com/
10/10Repository description
10/10Topics — 20 topics
0/10Wiki
Inputs used
topicsai-safety, ai-security, code-security, deterministic-ai, formal-verification, hallucination-detection, sympy, z3-prover, llm-verification, ai-accuracy, enterprise-ai, hallucination, machine-learning, python, llm-safety, smt-solver, deterministic-verification, fail-closed, diagnostic-result, verification-context
has_wikino
homepagehttps://docs.qwedai.com/
docs_sitehttps://docs.qwedai.com/
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 — 21 out of 21 merged PRs checked by a CI test -- score normalized to 10
2.5/2.5CII-Best-Practices — badge detected: Gold
0/7.5Code-Review — Found 0/18 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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 30 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
5/5SAST — SAST tool is run on all commits
5/5Security-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
6/7.5Vulnerabilities — 2 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_packages56
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:qwed@7.2.1 runtime dependency closure — what installing the published package pulls in — 56 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
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 96 of 96 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share1
agent_instruction_files.github/copilot-instructions.md
agent_instruction_max_bytes754
How it's scored
12.6/18One-command bootstrap — sdk-go/go.mod, sdk-rust/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
0/11Lint / format config
11/11Static type checking — sdk-ts/tsconfig.json
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 4 of the last 100 commits are automated dependency updates
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configssdk-ts/tsconfig.json
agent_commit_share0
toolchain_manifestssdk-go/go.mod, sdk-rust/Cargo.toml
dependency_bot_commit_share0.04
How it's scored
27/45Type-checkable code — Python with type-check config (sdk-ts/tsconfig.json)
54.3/55Manageable file sizes — 4/337 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes78,276
source_files_sampled337
oversized_source_files4
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

58GitHub stars
3contributors
1,256commits, last 12 months
0days since last push
22releases
1bus factor
41open issues
crates.io, Go, npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

Star and fork history 0 ★ / 13 ⇿
0Stars
13Forks
21Releases

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.

03581013151312025-122026-052026-09
Major 4Minor 10Patch 6
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 · 2026-09-18 20:50 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests21 out of 21 merged PRs checked by a CI test -- score normalized to 10
10CII-Best-Practicesbadge detected: Gold
0Code-ReviewFound 0/18 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 30 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
8Vulnerabilities2 existing vulnerabilities detected
Direct dependencies 29
RegistryPackageVersion constraintManifest
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crates.iotokio1.0sdk-rust/Cargo.toml
All dependencies 323

Full resolved dependency set from the GitHub dependency graph: 33 direct and 290 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPIpython-multipart—direct
PyPIpyyaml—direct
PyPIrequests—direct
PyPIscipy—direct
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PyPIsqlglot30.18.0direct
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PyPIsympy—direct
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npmoptionator0.9.4indirect
npmp-limit3.1.0indirect
npmp-locate5.0.0indirect
npmparent-module1.0.1indirect
npmpath-exists4.0.0indirect
npmpath-is-absolute1.0.1indirect
npmpath-key3.1.1indirect
npmpath-type4.0.0indirect
npmpathe2.0.3indirect
npmpicocolors1.1.1indirect
npmpicomatch2.3.2indirect
npmpicomatch4.0.7indirect
npmpirates4.0.7indirect
npmpkg-types1.3.1indirect
npmpostcss8.5.28indirect
npmpostcss-load-config6.0.1indirect
npmprelude-ls1.2.1indirect
npmpunycode2.3.1indirect
npmqueue-microtask1.2.3indirect
npmreaddirp4.1.2indirect
npmresolve-from4.0.0indirect
npmresolve-from5.0.0indirect
npmreusify1.1.0indirect
npmrimraf3.0.2indirect
npmrollup4.63.1indirect
npmrun-parallel1.2.0indirect
npmsemver7.8.5indirect
npmshebang-command2.0.0indirect
npmshebang-regex3.0.0indirect
npmsiginfo2.0.0indirect
npmslash3.0.0indirect
npmsource-map0.7.6indirect
npmsource-map-js1.2.1indirect
npmstackback0.0.2indirect
npmstd-env4.2.0indirect
npmstrip-ansi6.0.1indirect
npmstrip-json-comments3.1.1indirect
npmsucrase3.35.1indirect
npmsupports-color7.2.0indirect
npmtext-table0.2.0indirect
npmthenify3.3.1indirect
npmthenify-all1.6.0indirect
npmtinybench2.9.0indirect
npmtinyexec0.3.2indirect
npmtinyexec1.3.1indirect
npmtinyglobby0.2.17indirect
npmtinyrainbow3.1.1indirect
npmto-regex-range5.0.1indirect
npmtree-kill1.2.2indirect
npmts-api-utils1.4.3indirect
npmts-interface-checker0.1.13indirect
npmtsup8.5.1indirect
npmtype-check0.4.0indirect
npmtype-fest0.20.2indirect
npmtypescript5.9.3indirect
npmufo1.6.4indirect
npmundici-types6.21.0indirect
npmuri-js4.4.1indirect
npmvite6.4.3indirect
npmvitest4.1.11indirect
npmwhich2.0.2indirect
npmwhy-is-node-running2.3.0indirect
npmword-wrap1.2.5indirect
npmwrappy1.0.2indirect
npmyocto-queue0.1.0indirect
PyPIanyio4.13.0indirect
PyPIcertifi2026.2.25indirect
PyPIcolorama0.4.6indirect
PyPIcoverage—indirect
PyPIcrewai—indirect
PyPIcrosshair-tool—indirect
PyPIdefusedxml0.7.1indirect
PyPIdocker—indirect
PyPIexceptiongroup1.3.1indirect
PyPIfreezegun—indirect
PyPIh110.16.0indirect
PyPIhatchling1.32.0indirect
PyPIhttpcore1.0.9indirect
PyPIidna3.15indirect
PyPIjinja2—indirect
PyPIlangchain—indirect
PyPIllama-index-core—indirect
PyPImatplotlib—indirect
PyPImpmath1.3.0indirect
PyPIopentelemetry-api—indirect
PyPIopentelemetry-exporter-otlp—indirect
PyPIopentelemetry-instrumentation-fastapi—indirect
PyPIopentelemetry-instrumentation-requests—indirect
PyPIopentelemetry-sdk—indirect
PyPIpresidio-analyzer—indirect
PyPIpresidio-anonymizer—indirect
PyPIprometheus-client—indirect
PyPIpsycopg2-binary—indirect
PyPIpytest—indirect
PyPIpytest-asyncio—indirect
PyPIpytest-cov—indirect
PyPIpytest-timeout—indirect
PyPIpytest-xdist—indirect
PyPIredis—indirect
PyPIsentry-sdk2.68.1indirect
PyPIspacy—indirect
PyPItyping-extensions4.15.0indirect
PyPIurllib32.7.0indirect
Dependency advisories 0

Installing pypi:qwed@7.2.1 pulls in 56 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.

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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, Go, crates.io, npm.