Skill audit report
Plan and drive the experiment tree: first-launch setup, fixed run contract, frozen nodes, stacked-bush tree shape, branch/launch/wait/promote, repair limits, notes, and turn summaries. Use before creating or changing experiments, launching a first run, deciding what to try next, handling a completed run, or reporting experiment progress.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS94
5.3K GitHub stars
Stars/forks activity
PASS88
5.3K stars, 323 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add alphaXiv/OpenResearch --skill orx-experiment-tree
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/alphaXiv/OpenResearch/tree/main/agent-skills/orx-experiment-tree
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add alphaXiv/OpenResearch --skill orx-experiment-tree
Repository
88
https://github.com/alphaXiv/OpenResearch/tree/main/agent-skills/orx-experiment-tree
License
86
MIT
Maintenance
100
Pushed today
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
88
5.3K stars, 323 forks; issue activity unavailable in current metadata
Adoption
88
5.3K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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