Skill audit report
Drive the skvm CLI on behalf of a user to profile models, AOT-compile skills, run skill-assisted tasks, run benchmarks, and manage compiled proposals. Trigger when the user asks to "profile", "aot-compile", "bench", "run a single ad-hoc task with a skill", or asks about skvm proposals. Do NOT trigger for `jit-optimize` or when the user wants to optimize/improve a skill — use the sibling `skvm-jit` skill instead.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
552 GitHub stars
Stars/forks activity
INFO71
552 stars, 54 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
20d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add SJTU-IPADS/SkVM --skill skvm-general
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/SJTU-IPADS/SkVM/tree/main/skills/skvm-general
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add SJTU-IPADS/SkVM --skill skvm-general
Repository
88
https://github.com/SJTU-IPADS/SkVM/tree/main/skills/skvm-general
License
86
MIT
Maintenance
100
20d since push
AI review
55
The SKILL.md excerpt is truncated; the full file may contain additional details not reviewed.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
71
552 stars, 54 forks; issue activity unavailable in current metadata
Adoption
88
552 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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