Skill audit report
agenthub Audit report.
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
25K GitHub stars
Stars/forks activity
PASS97
25K stars, 3.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add alirezarezvani/claude-skills --skill agenthub
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agenthub
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add alirezarezvani/claude-skills --skill agenthub
Repository
88
https://github.com/alirezarezvani/claude-skills/tree/main/.gemini/skills/agenthub
License
86
MIT
Maintenance
88
2mo since push
AI review
55
No explicit sandboxing or security restrictions are described for the spawned subagents—they execute commands in worktrees, which could be risky if not scoped carefully.
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
97
25K stars, 3.5K forks; issue activity unavailable in current metadata
Adoption
88
25K GitHub stars
Warnings
- No explicit sandboxing or security restrictions are described for the spawned subagents—they execute commands in worktrees, which could be risky if not scoped carefully.
- The SKILL.md references external scripts (e.g., `dag_analyzer.py`, `references/agent-templates.md`) that are not provided in this excerpt; their safety and correctness cannot be verified from this submission alone.
- No guidance is given on limiting resource usage (e.g., maximum number of agents) or handling malicious task inputs that could lead to unintended actions.
- Quality score needs review
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.
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