Skill audit report
Detect local hardware (RAM, CPU, GPU/VRAM) and recommend the best-fit local LLM models with optimal quantization, speed estimates, and fit scoring.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
36K GitHub stars
Stars/forks activity
PASS97
36K stars, 2.3K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
Pushed today
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add AlexsJones/llmfit --skill llmfit-advisor
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/AlexsJones/llmfit/tree/e5508a1bdd9184d59add7dc0382219e82f68483d/skills/llmfit-advisor
Review status
WARN53.87
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add AlexsJones/llmfit --skill llmfit-advisor
Repository
88
https://github.com/AlexsJones/llmfit/tree/e5508a1bdd9184d59add7dc0382219e82f68483d/skills/llmfit-advisor
License
86
MIT
Maintenance
100
Pushed today
AI review
55
Review approval is missing
README/SKILL.md completeness
94
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
50
secrets or environment access, shell or command execution
Stars/forks activity
97
36K stars, 2.3K forks; issue activity unavailable in current metadata
Adoption
88
36K GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.