Skill audit report
Recall past AI coding sessions and file touches captured by VESTI. Use when the user references earlier work ("继续上次…", "之前我们…"), asks which local file or project contained prior work, starts a session in a tracked project, merges work across projects or branches, or needs a decision made in missing context. Provides project context, file-level lookup, and progressive retrieval from session index to selected full turns.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
127 GitHub stars
Stars/forks activity
WARN51
127 stars, 0 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, database surface
Install availability
PASS92
npx skills add firefly-hefeng/VESTI-SKILLS --skill vesti-memory
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/firefly-hefeng/VESTI-SKILLS/tree/main/skills/vesti-memory
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add firefly-hefeng/VESTI-SKILLS --skill vesti-memory
Repository
88
https://github.com/firefly-hefeng/VESTI-SKILLS/tree/main/skills/vesti-memory
License
86
MIT
Maintenance
88
1mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, database surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, filesystem or document access
Stars/forks activity
51
127 stars, 0 forks; issue activity unavailable in current metadata
Adoption
68
127 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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