Skill audit report
Run the LIBERO inference-time scaling experiment: debug Long-Pro tasks at frozen library snapshots, evaluate token-budget checkpoints, and plot Pareto curves.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
128 GitHub stars
Stars/forks activity
WARN51
128 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
20d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add NVlabs/ASPIRE --skill libero-inference-time-scaling
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/NVlabs/ASPIRE/tree/main/aspire/sim/.claude/libero/inference-time-scaling
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add NVlabs/ASPIRE --skill libero-inference-time-scaling
Repository
88
https://github.com/NVlabs/ASPIRE/tree/main/aspire/sim/.claude/libero/inference-time-scaling
License
86
Apache-2.0
Maintenance
100
20d since push
AI review
55
The SKILL.md is concise and relies heavily on external files (INSTRUCTIONS.md, main-agent-prompt.md, etc.) for full context. While this is acceptable, a brief summary of prerequisites and expected environment in SKILL.md would improve standalone clarity.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, filesystem or document access
Stars/forks activity
51
128 stars, 7 forks; issue activity unavailable in current metadata
Adoption
68
128 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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