Skill audit report
Comprehensive code review guidance — process, checklist, feedback conventions. Use when the user asks about code review flow, review criteria, best practices, or how to give/receive review feedback.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
112 GitHub stars
Stars/forks activity
WARN57
112 stars, 18 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS84
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO74
network or browser surface, database surface
Install availability
PASS92
npx skills add OpenDCAI/DataMind --skill code-review
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
network or browser access, database access
Repository evidence
PASS86
https://github.com/OpenDCAI/DataMind/tree/main/datamind/skills/code-review
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add OpenDCAI/DataMind --skill code-review
Repository
88
https://github.com/OpenDCAI/DataMind/tree/main/datamind/skills/code-review
License
86
Apache-2.0
Maintenance
100
6d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
74
network or browser surface, database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
network or browser access, database access
Stars/forks activity
57
112 stars, 18 forks; issue activity unavailable in current metadata
Adoption
68
112 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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