Skill audit report
Use git worktrees to run multiple coding agents in parallel on one repo without collisions. Use when starting a task in a shared repo, when the user says "worktree", "parallel agents", "one worktree per task", or when agents keep overwriting each other's changes. Covers creating worktrees, making them as complete as the main checkout (.env files, dependencies, databases, ports), merging back, and cleanup.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.8K GitHub stars
Stars/forks activity
PASS83
3.8K stars, 554 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL36
command execution surface, credential or environment access
Install availability
PASS92
npx skills add davidondrej/skills --skill git-worktree
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL24
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/git-worktree
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add davidondrej/skills --skill git-worktree
Repository
88
https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/git-worktree
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
36
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
24
secrets or environment access, shell or command execution
Stars/forks activity
83
3.8K stars, 554 forks; issue activity unavailable in current metadata
Adoption
88
3.8K GitHub stars
Warnings
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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