Skill audit report
Organize computed features in versioned storage with schema enforcement and point-in-time retrieval. Use when persisting features for reproducible ML experiments or sharing across pipelines.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL37
20 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add ml4t/skills --skill ml4t-feature-store
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/ml4t/skills/tree/main/features/feature-store
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add ml4t/skills --skill ml4t-feature-store
Repository
88
https://github.com/ml4t/skills/tree/main/features/feature-store
License
86
Apache-2.0
Maintenance
100
7d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
37
20 stars, 11 forks; issue activity unavailable in current metadata
Adoption
42
20 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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