Skill audit report

Llm Wiki Agent audit report.

A personal knowledge base that builds and maintains itself. Drop in sources — Claude (or Codex/Gemini) reads them, extracts knowledge, and maintains a persistent interlinked wiki. Works with Claude Code, Codex, OpenCode, Gemini CLI. No API key needed.

EXPERIMENTAL · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit

Audit

Trust

100

Quality

Security

100

Maintain

Install

OpenAgentSkill Trust Score

Production candidate

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

2.9K GitHub stars

Recent maintenance

PASS

100

3d since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency risk

WARN

command execution surface, credential or environment access

Install availability

PASS

npx skills add SamurAIGPT/llm-wiki-agent

Repository evidence

PASS

https://github.com/SamurAIGPT/llm-wiki-agent

Review status

PASS

AI review data available

Checks

Install and adoption review

7 passed · 3 review

Install path

PASS

npx skills add SamurAIGPT/llm-wiki-agent

Repository

PASS

https://github.com/SamurAIGPT/llm-wiki-agent

License

PASS

MIT

Maintenance

100

PASS

3d since push

AI review

PASS

Approved with no listed issues

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

FIX

command execution surface, credential or environment access

Adoption

PASS

2.9K GitHub stars

Warnings

Dependency or permission surface needs review
Dependency risk: command execution surface, credential or environment access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

Install path

Review the report before installing into production agents.

$ npx skills add SamurAIGPT/llm-wiki-agent

Signals

Audit score: 94/100
Quality: 100/100
Trust: 90/100
Maintenance: 3d since push
Events: 4 events
GitHub stars: 2.9K
Last push: Jun 13, 2026

Agent safety v2

54/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Metadata combines secrets access with shell or command execution
High-risk permission hints: Shell or command execution, Secrets or environment access
54/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Secrets or environment access

high

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

High-risk permission hints: Shell or command execution, Secrets or environment access
Dependency or permission surface needs review

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