Skill audit report
Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says \"实现实验\", \"implement experiments\", \"bridge\", \"从计划到跑实验\", \"deploy the plan\", or has an experiment plan ready to execute.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
16K GitHub stars
Stars/forks activity
PASS97
16K stars, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
13d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, database surface
Install availability
PASS92
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-bridge
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-bridge
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill experiment-bridge
Repository
88
https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/experiment-bridge
License
86
MIT
Maintenance
100
13d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
36
shell or command execution, filesystem or document access
Stars/forks activity
97
16K stars, 1.4K forks; issue activity unavailable in current metadata
Adoption
88
16K 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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