Skill audit report
Batches features and runs them. Tell it which features to batch and it writes features/QUEUE.md; pass it to /goal and it works that queue overnight, one feature at a time, building and verifying each one and opening a pull request when it passes. Use when the user says "batch these features", "queue these", "run these in a loop", "build these overnight", or names more than one feature to build.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
55 GitHub stars
Stars/forks activity
WARN43
55 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
18d 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
command execution surface
Install availability
PASS92
npx skills add arcasilesgroup/ai-engineering --skill feature-batch
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/arcasilesgroup/ai-engineering/tree/main/skills/ai-goal/feature-batch
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add arcasilesgroup/ai-engineering --skill feature-batch
Repository
88
https://github.com/arcasilesgroup/ai-engineering/tree/main/skills/ai-goal/feature-batch
License
86
Apache-2.0
Maintenance
100
18d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
43
55 stars, 3 forks; issue activity unavailable in current metadata
Adoption
68
55 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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