Skill audit report
Pre-send quality scorecard for any lead list. Grades duplicate rate, title diversity, bad-title patterns, catch-all domain density, ICP fit, email verification coverage. Outputs a letter grade + action items BEFORE you send. Catches bad lists before they burn inboxes. Run after email enrichment, before Smartlead upload.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
682 GitHub stars
Stars/forks activity
INFO71
682 stars, 243 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
21d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add growthenginenowoslawski/coldoutboundskills --skill list-quality-scorecard
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/list-quality-scorecard
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add growthenginenowoslawski/coldoutboundskills --skill list-quality-scorecard
Repository
88
https://github.com/growthenginenowoslawski/coldoutboundskills/tree/main/skills/list-quality-scorecard
License
86
MIT
Maintenance
100
21d since push
AI review
55
The script excerpt is incomplete, but the provided portion shows a clear, safe implementation.
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
71
682 stars, 243 forks; issue activity unavailable in current metadata
Adoption
88
682 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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