Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-08 16:19 UTC

promptfoo / modelaudit

Security scanner for AI/ML model files. Detects malicious code, backdoors, and vulnerabilities before deployment

PythonMIT★ 76 stars⑂ 20 forkssince Mar 2025View on GitHub ↗
KindCommand-line toolLibraryhow this is determined

promptfoo/modelaudit holds a health index of 93 out of 100, placing it in the Exceptional band. It scores highest on Vitality (94/100) and lowest on Community & Adoption (67/100). It was last updated today. A single contributor accounts for most of its recent work.

93
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.

93
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 79 is calibrated to 93 on the published index scale (record calibration 2026-08-02).

Ownership

promptfooOrganization · verified domain
455 followers20 public repossince Jun 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPImodelaudit0.2.5211,0275977 days agoaimlmodel-scanningpicklepytorchsecuritytensorflow

Metrics by category

Vitality

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

94Exceptional · 21% of overall

Development activity

97Exceptional
How it's scored
36/36Push recency — last push 0 days ago
33.2/36Commit cadence — 48/52 weeks with commits
18/18Commit volume — 1,328 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_year1,328
human_commit_share0.71
days_since_last_push0
active_weeks_last_year48

Release discipline

90Excellent
How it's scored
27/27Ships releases — 46 releases published
36/36Release recency — latest release 0 days ago
27/27Release cadence — a release every ~11.7 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count46
latest_release_tagmodelaudit-picklescan-v0.1.12
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases11.7

Community & Adoption

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

67Good · 17% of overall

Popularity & adoption

44Weak
How it's scored
30.4/60Stars — 76 stars
10.7/25Forks — 20 forks
3.3/15Watchers — 5 watchers
Inputs used
forks20
stars76
watchers5
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)
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_badges5
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

67Good
How it's scored
53.9/80Monthly downloads — 11,027 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesmodelaudit
dependents—
ecosystemspypi
total_downloads—
monthly_downloads11,027
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?

70Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
10/22.5Commit distribution — top contributor authored 56% of commits
13.5/13.5Contributor breadth — 13 contributors
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Inputs used
bus_factor1
contributors_sampled13
top_contributor_share0.556

Issue & PR responsiveness

71Good
How it's scored
42/42Issue resolution — 100% of issues closed
27.8/30PR acceptance — 1,727/1,864 decided PRs merged
0/13Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
1.5/15OpenSSF Scorecard: Code-Review — Found 2/17 approved changesets -- score normalized to 1
Inputs used
merged_prs1,727
open_issues0
closed_issues16
prs_merged_7d17
prs_decided_7d18
prs_merged_30d30
prs_decided_30d31
issue_closed_ratio1
closed_unmerged_prs137
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d1

Ownership & stewardship

85Excellent
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
19.1/25Owner reach — 455 followers of promptfoo
16.2/25Track record — 20 public repos, account ~3 yr old
Inputs used
followers455
owner_typeOrganization
is_verifiedyes
owner_loginpromptfoo
public_repos20
account_age_days1,199

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 77 days ago
20/20Version history — 59 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesmodelaudit
ecosystemspypi
any_deprecatedno
min_days_since_publish77

Engineering Quality

Are baseline engineering and documentation practices in place?

86Excellent · 19% of overall

Engineering practices

90Excellent
How it's scored
24/24CI workflows — 9 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
6.4/6.4.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_editorconfigyes
has_linter_configyes
has_precommit_configno

Documentation

80Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://www.promptfoo.dev/docs/model-audit/
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepagehttps://www.promptfoo.dev/docs/model-audit/
docs_sitehttps://www.promptfoo.dev/docs/model-audit/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

65Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-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
0.8/7.5Code-Review — Found 2/17 approved changesets -- score normalized to 1
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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
3.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
4.5/5SAST — SAST tool detected but not 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate6.5

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_packages80
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:modelaudit@0.2.52 runtime dependency closure — what installing the published package pulls in — 80 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.

92Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, packages/modelaudit-picklescan/AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://www.promptfoo.dev/llms.txt)
40/40Legible commit history — 71 of 71 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://www.promptfoo.dev/llms.txt
legible_history_share1
agent_instruction_filesAGENTS.md, CLAUDE.md, packages/modelaudit-picklescan/AGENTS.md
agent_instruction_max_bytes18,051

Verify loop (build / test / typecheck)

92Excellent
How it's scored
12.6/18One-command bootstrap — packages/modelaudit-picklescan/Cargo.toml (toolchain convention, no task runner)
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
11/11Static type checking — modelaudit/protos/py.typed, modelaudit/py.typed, packages/modelaudit-picklescan/src/modelaudit_picklescan/py.typed
10/10Reproducible environment — Dockerfile, lockfile
10/10Demonstrated agent practice — 8 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 26 of the last 100 commits are automated dependency updates
7/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7
Inputs used
has_nixno
has_testsyes
lockfilesCargo.lock, package-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsmodelaudit/protos/py.typed, modelaudit/py.typed, packages/modelaudit-picklescan/src/modelaudit_picklescan/py.typed
agent_commit_share0.08
toolchain_manifestspackages/modelaudit-picklescan/Cargo.toml
dependency_bot_commit_share0.26

Code legibility for models

71Good
How it's scored
27/45Type-checkable code — Python with type-check config (modelaudit/protos/py.typed, modelaudit/py.typed, packages/modelaudit-picklescan/src/modelaudit_picklescan/py.typed)
44.1/55Manageable file sizes — 103/522 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes1,170,825
source_files_sampled522
oversized_source_files103

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 — samples
Inputs used
example_dirssamples
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

76GitHub stars
13contributors
1,328commits, last 12 months
0days since last push
46releases
1bus factor
0open issues
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 ★ / 20 ⇿
0Stars
20Forks
35Releases

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.

0481216202022026-032026-062026-09
Major 0Minor 0Patch 25
OpenSSF Scorecard 6.5 / 10
6.5aggregate

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 · 2026-10-08 16:18 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-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
1Code-ReviewFound 2/17 approved changesets -- score normalized to 1
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
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
7Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 7
9SASTSAST tool detected but not 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
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 24
RegistryPackageVersion constraintManifest
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PyPImodelaudit-picklescan>=0.1.11,<0.2.0pyproject.toml
All dependencies 226

Full resolved dependency set from the GitHub dependency graph: 26 direct and 200 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

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PyPItypes-click7.1.8indirect
PyPItypes-protobuf7.35.1.20260906indirect
PyPItypes-pyyaml6.0.12.20260906indirect
PyPItypes-requests2.33.0.20260906indirect
PyPItypes-tensorflow2.18.0.20260827indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPIurllib32.8.0indirect
PyPIuvicorn0.54.0indirect
PyPIwheel0.48.0indirect
PyPIwrapt2.5.0indirect
PyPIxgboost3.2.0indirect
PyPIxgboost3.4.1indirect
PyPIyarl1.25.1indirect
PyPIzipp4.1.1indirect
Dependency advisories 0

Installing pypi:modelaudit@0.2.52 pulls in 80 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.

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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.