Skill audit report
Build and govern a 50-200 example domain-specific held-out benchmark sampled from real traffic. Distinct from public benchmarks (MMLU/HumanEval/GSM8K via lm-evaluation-harness) which measure GENERAL capability. Only a held-out domain set predicts whether THIS system works on YOUR data. Collect real examples, label, hold out (never train/prompt on it), size 50-200, version it, refresh on drift.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
357 GitHub stars
Stars/forks activity
WARN57
357 stars, 19 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add agentsope/SkillAlchemy --skill agentsop-domain-eval-set
Install command safety
INFO68
dynamic command execution, standard package or runtime install path
Permission surface
INFO74
filesystem or document access, database access
Repository evidence
PASS86
https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-domain-eval-set
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add agentsope/SkillAlchemy --skill agentsop-domain-eval-set
Repository
88
https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-domain-eval-set
License
86
MIT
Maintenance
100
6d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
68
dynamic command execution, standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
57
357 stars, 19 forks; issue activity unavailable in current metadata
Adoption
68
357 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.
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