Skill audit report
Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
1.4K GitHub stars
Stars/forks activity
INFO77
1.4K stars, 96 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
14d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add OpenRaiser/NanoResearch --skill unsloth
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/unsloth
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add OpenRaiser/NanoResearch --skill unsloth
Repository
88
https://github.com/OpenRaiser/NanoResearch/tree/main/skills/vendor-ai-research/unsloth
License
86
MIT
Maintenance
100
14d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
94
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
77
1.4K stars, 96 forks; issue activity unavailable in current metadata
Adoption
88
1.4K 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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