Is Ai Doc Gen safe to use?

Ai Doc Gen has an HVTrust score of 42.7/100 (Grade D), ranked #303 of 351 tracked AI agent projects. This score reflects verifiable supply-chain integrity, transparency, maintenance, and adoption signals.

What is the trust score for Ai Doc Gen?

Ai Doc Gen scores 42.7/100 on HVTracker's evidence-weighted HVTrust scale. It has 763 GitHub stars and is categorized under Agent Skills.

Ai Doc Gen

divar-ir/ai-doc-gen

AI-powered multi-agent system that automatically analyzes codebases and generates comprehensive documentation. Features GitLab integration, concurrent processing, and multiple LLM support for better code understanding and developer onboarding.

Agent Skills Python Listed MIT

Is Ai Doc Gen safe? Thin or incomplete trust evidence. Review carefully before production use.

OSSF Scorecard 3.1 / 10

Provenance None

Signed commits 40%

Last push 67d ago

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In detail: Ai Doc Gen scores 42.7/100 (Grade D), ranked #303 of 351 tracked open-source AI agent projects, on evidence coverage B (3 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 3.1/10; 40% of recent commits are signed; last pushed 2026-07-21. Every point is earned from checkable signals — never paid placement. How scoring works →

How Ai Doc Gen compares in Agent Skills

Bars show each HVTrust score; the tick marks Ai Doc Gen’s 42.7.

Where the 42.7 comes from

HVTrust dimensions vs the Agent Skills average

42.7 / 100 · 100.0% confidence

Ai Doc Gen Agent Skills average (351 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits

5.9 / 25

2.2 below avg 8.1

Identity / Provenance60% listing status · 40% build provenance

10.8 / 18

0.6 below avg 11.4

Transparency50% declared license · 50% OSSF Scorecard

11.1 / 17

1.1 below avg 12.2

Maintenance60% last-push freshness · 40% commit activity

7.5 / 20

6.7 below avg 14.2

AdoptionLog-scaled stars · package downloads

8.0 / 20

1.0 below avg 9.0

Quick Trust Read

What Would Improve It

Publish package provenance or release attestations for stronger supply-chain evidence.

Recent Changes

2026-09-25

Rank Moved

Rank dropped 23 spots (#278 → #301)

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

Maintainer Checklist

Raise Scorecard signals Current OSSF Scorecard is 3.1/10. Tighten the weakest checks to improve public safety evidence.

Publish provenance Add package provenance or release attestations so users can verify where shipped artifacts came from.

Increase signed commits Raise the share of verified-signed commits to make maintainer identity and release history easier to trust.

Refresh maintenance signals The repo was last pushed 67 days ago. Fresh activity helps separate stable projects from stale ones.

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42.0

Activity sub-score · out of 100

#303

In Agent Skills

How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade D reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage B is separate — it grades how many independent signal types back the score (3 of 5), so a high score on thin evidence stays visible. Full methodology →

Rank Trend

2026-08-11 2026-09-26

Activity & Reach

Stars

763

Forks

Last Push

2026-07-21

67 days ago

Commits (4 wk)

Downloads (7d)

pypi

HN mentions (30d)

—

Open Issues

Rank Change

▼2

was #301

Analysis

Activity Inputs

42.0 / 100

StarsRepository reach

17.3 / 30

FreshnessLast push recency

15.7 / 25

ActivityRecent commits

0.0 / 25

CommunityFork signal

8.9 / 20

Supply Chain Trust

Package Provenance

None

No package attestations found

OSSF Scorecard

3.1 / 10

OpenSSF Scorecard · scanned Sep 20, 2026

Signed Commits

40%

of last 100 commits verified

Binary-Artifacts 10

Branch-Protection 0

CI-Tests 8

CII-Best-Practices 0

Code-Review 0

Contributors 0

Dangerous-Workflow 10

Dependency-Update-Tool 0

Fuzzing 0

License 10

Maintained 0

Packaging -1

Pinned-Dependencies 0

SAST 0

Security-Policy 0

Signed-Releases -1

Token-Permissions 9

Vulnerabilities 0

Common questions about Ai Doc Gen

Public trust evidence for Ai Doc Gen is thin: several supply-chain signals are missing or weak. This does not mean the project is unsafe — it means an outside observer cannot easily verify the usual integrity checks. Treat with extra scrutiny.

Does Ai Doc Gen publish package provenance?

No published build provenance is currently detected for Ai Doc Gen. This is common for open-source projects but means consumers cannot independently verify that the package on the registry matches the GitHub source.

Does Ai Doc Gen have an OpenSSF Scorecard?

Ai Doc Gen has an OpenSSF Scorecard score of 3.1/10. The Scorecard checks for branch protection, signed releases, dependency updates, fuzzing, code review, and other supply-chain hygiene items. See the full check breakdown on this page.

Is Ai Doc Gen actively maintained?

Slowing down. Last push was 67 days ago — keep an eye on whether activity resumes.

What license does Ai Doc Gen use?

Ai Doc Gen ships under MIT. A declared, OSI-approved license is one of the transparency signals HVTrust scores.

Are Ai Doc Gen's commits signed?

39% of the last 100 commits to Ai Doc Gen are verified-signed (GPG, SSH, S/MIME, or GitHub's signing flow). Signed commits help confirm that code was authored by who the commit claims.

Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.

AI agent surface

MCP, providers, tool surface

Scored in HVTrust

These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →

MCP Server Support

None detected

No MCP server signal detected.

Detailed evidence is not shown in the public view.

External Service Dependencies

medium confidence

1 detected

Public provider/service dependencies detected.

Anthropic

Credential signal: No explicit API-key/config marker detected.

Tool / Plugin Surface

high confidence

Declared

Declared plugin/integration surface detected.

code

Detailed evidence is not shown in the public view.

Package Provenance Drift

low confidence

Unknown

Package source metadata is missing or inconclusive

Detailed evidence is not shown in the public view.

MCP signal live
External deps live
Tool / plugin surface live
Package provenance drift live

How this surface has changed

Detected changes to Ai Doc Gen's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

Maintain Ai Doc Gen?

For maintainers

HVTrust scores Ai Doc Gen from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.

Submit a correction → Add the trust badge

Reputation Timeline

Signal history

2026-09-25

Rank Moved

Rank dropped 23 spots (#278 → #301)

2026-09-23

Tool Surface Changed

Detected tool/plugin surface changed: none → declared

2026-09-23

Provider Added

Runtime surface grew — new detected provider dependency: Anthropic

2026-09-23

Rank Moved

Rank rose 56 spots (#334 → #278)

2026-09-23

HVTrust Changed

HVTrust up 21.6pts (21.3 → 42.9)

2026-09-22

Newly Listed

First tracked at rank #334

2026-09-21

Removed From Active Tracking

Removed from active tracking

2026-09-11

Rank Moved

Rank dropped 10 spots (#258 → #268)

2026-09-05

Rank Moved

Rank dropped 12 spots (#211 → #223)

2026-09-02

Rank Moved

Rank dropped 11 spots (#186 → #197)

2026-09-01

Rank Moved

Rank dropped 15 spots (#171 → #186)

2026-08-31

Rank Moved

Rank dropped 17 spots (#154 → #171)

2026-08-30

Rank Moved

Rank dropped 30 spots (#124 → #154)

2026-08-29

Scorecard Added

OSSF Scorecard: 3.1/10

2026-08-29

Rank Moved

Rank rose 45 spots (#169 → #124)

2026-08-29

HVTrust Changed

HVTrust up 19.2pts (24.9 → 44.1)

2026-08-28

Rank Moved

Rank dropped 23 spots (#146 → #169)

2026-08-27

Rank Moved

Rank dropped 22 spots (#124 → #146)

2026-08-26

Rank Moved

Rank dropped 73 spots (#51 → #124)

2026-08-11

Newly Listed

First tracked at rank #40

GitHub → PyPI: ai-doc-gen

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For maintainers

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Other agents in Agent Skills

Data sources
GitHub REST API (repo, commits, stars, forks, license) · PyPI / pypistats (downloads, provenance) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON