Skill audit report
Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based projects and supports research writing, product document collaboration, software project coordination, and broader cross-functional project continuity.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
156 GitHub stars
Stars/forks activity
WARN51
156 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add Frappucc1no/recall-loom --skill recallloom
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/Frappucc1no/recall-loom/tree/main/skills/recallloom
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Frappucc1no/recall-loom --skill recallloom
Repository
88
https://github.com/Frappucc1no/recall-loom/tree/main/skills/recallloom
License
86
Apache-2.0
Maintenance
88
1mo since push
AI review
55
SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
36
shell or command execution, filesystem or document access
Stars/forks activity
51
156 stars, 5 forks; issue activity unavailable in current metadata
Adoption
68
156 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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