Skill audit report
Framework for running single-variable cold email experiments. Defines experiment types (list-only, copy-only, combined), confidence weighting, minimum sample sizes, and success criteria. Use when the user wants to improve a campaign, test a new list vs old one, or compare copy variants. Prevents the #1 learning-loop mistake — changing list + copy + offer at once and losing all signal.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
676 GitHub stars
Stars/forks activity
INFO71
676 stars, 242 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
29d 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 growthenginenowoslawski/coldoutboundskills --skill experiment-design
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/growthenginenowoslawski/coldoutboundskills/tree/main/skills/experiment-design
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add growthenginenowoslawski/coldoutboundskills --skill experiment-design
Repository
88
https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/experiment-design
License
86
MIT
Maintenance
100
29d 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
92
standard package or runtime install path
Permission surface
74
filesystem or document access, database access
Stars/forks activity
71
676 stars, 242 forks; issue activity unavailable in current metadata
Adoption
88
676 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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