updated 2026-11-10 04:07 UTC

Ai Doc Gen

Repository

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 3.0 / 10
Provenance None
Signed commits 40%
Last push 112d ago
Advisories None known
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In detail: Ai Doc Gen scores 39.6/100 (Grade D), ranked #350 of 384 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 3.0/10; 40% of recent commits are signed; no published advisory affects its latest release (ai-doc-gen); last pushed 2026-07-21. Every point is earned from checkable signals — never paid placement. How scoring works →

How Ai Doc Gen could raise its score

Each line changes one public signal and recomputes with the live scoring function. The gains don't add up exactly, because the score is capped near the top.

Already done? Suggest a correctionAdd the trust badge

Chain of custody

Scanners check what the code says. This traces who ships Ai Doc Gen and whether that has changed: from the source repository, through how changes are reviewed and released, to the package you install. These are the checks for OWASP ASI04 Agentic Supply Chain Vulnerabilities and, for skills, AST02 Supply Chain Compromise.

  1. Source Partly signed

    github.com/divar-ir/ai-doc-gen, MIT, last pushed 2026-07-21. 40% of the last 100 commits carry a verified signature; the rest can't be tied to a verified identity.

  2. Review and release Weak

    OpenSSF Scorecard rates the repository's practices 3.0/10 (scanned Nov 4, 2026). The checks that decide who can get a change released:

    • Code Review0
    • Branch Protection0
    • Signed Releasesn/a
    • Dangerous Workflow10
    • Token Permissions9
    • Pinned Dependencies0
    All 18 Scorecard checks
    Binary-Artifacts 10
    Branch-Protection 0
    CI-Tests 5
    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

  3. Published packages Not linked

    • PyPI ai-doc-gen Source link isn't a GitHub repo No build attestation

    Without a build attestation, nothing proves the published files were built from this repository.

  4. What you install today No known advisories

    Latest release checked: ai-doc-gen 1.0.0. No published advisory affects it (OSV, checked 2026-11-10).

Changes to this chain

  • 2026-08-29 OSSF Scorecard: 3.1/10

Evidence behind this score

Coverage B: 3 of 5 independent evidence types found.

  • GitHub repository data
  • Package downloads
  • Supply-chain checks
  • Public actions (missing)
  • Community mentions (missing)

Verify this score yourself

Every build re-issues Ai Doc Gen’s score as an Ed25519-signed credential, valid for 7 days. You can check it offline against HVTracker’s published key; if anyone changes a number after signing, verification fails.

Signed credential (JSON) How to verify

What this score doesn’t check

It covers who ships the code, not what the code does. It doesn’t read the skill’s instructions for injected instructions, watch runtime behaviour, or find bugs nobody has disclosed yet. For that, run a content scanner before you install it, such as Cisco Skill Scanner.

How Ai Doc Gen compares in Agent Skills

  1. #348 Everything Claude Code Zh 40.0 +0.4
  2. #349 Verilog Generator 39.9 +0.3
  3. #350 Ai Doc Gen 39.6 this agent
  4. #351 Ai Agent Team 39.6 ±0
  5. #352 ClaudeSkills 39.4 −0.2

Bars show each HVTrust score; the tick marks Ai Doc Gen’s 39.6.

Where the 39.6 comes from

HVTrust dimensions vs the Agent Skills average

39.6 / 100 · 100.0% confidence

Ai Doc Gen Agent Skills average (384 agents)

Safety / Integrity50% OSSF Scorecard · 30% provenance · 20% signed commits
5.7 / 25
2.5 below avg 8.2
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
4.5 / 20
9.5 below avg 14.0
AdoptionLog-scaled stars · package downloads
8.1 / 20
1.0 below avg 9.1

Quick Trust Read

What Would Improve It
Publish package provenance or release attestations for stronger supply-chain evidence.
Recent Changes
2026-10-19
Activity Went Stale
No commits for 90 days
Maintainer Checklist
Raise Scorecard signals Current OSSF Scorecard is 3.0/10. 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 112 days ago. Fresh activity helps separate stable projects from stale ones.
Compare with another agent
View Agent Skills Report missing data
35.8
Activity sub-score · out of 100
#350
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 →

Signals refreshed 2026-11-10 04:07 UTC · Repo last pushed 112 days ago

Rank Trend

2026-09-29 2026-11-10

Activity & Reach

Stars
771
Forks
80
Last Push
2026-07-21
112 days ago
Commits (4 wk)
0
Downloads (7d)
7
pypi
HN mentions (30d)
—
Open Issues
0
Rank Change
▼2
was #348

Analysis

Activity Inputs

35.8 / 100
StarsRepository reach
17.3 / 30
FreshnessLast push recency
9.4 / 25
ActivityRecent commits
0.0 / 25
CommunityFork signal
8.9 / 20

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 3.0/10. 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 112 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.
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.

2026-10-19
Activity Went Stale
No commits for 90 days
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
Rank 12HVTrust 2Scorecard 1Delisted 1Listed 1Surface 1Surface 1Stale 1
2026-10-19
Activity Went Stale
No commits for 90 days
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)
GitHub → PyPI: ai-doc-gen

Embed Badge Badge guide for maintainers →

For maintainers
HVTrust 39.6 Grade D
Markdown:
[![HVTrust](https://hvtracker.net/badge/ai-doc-gen.svg)](https://hvtracker.net/agents/ai-doc-gen)
HTML:
<a href="https://hvtracker.net/agents/ai-doc-gen"><img src="https://hvtracker.net/badge/ai-doc-gen.svg" alt="HVTrust"></a>

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 v4.4 · Raw JSON