Skill audit report
Write an email drip sequence for affiliate marketing. Triggers on: "write me an email sequence", "create a drip campaign", "email nurture sequence", "affiliate email funnel", "welcome email series", "email onboarding sequence", "write emails for my list", "set up a drip sequence", "email campaign for [product]", "nurture my subscribers", "email follow-up sequence", "build my email funnel", "write 5 emails promoting [product]", "email automation sequence".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
660 GitHub stars
Stars/forks activity
INFO71
660 stars, 200 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS94
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add Affitor/affiliate-skills --skill email-drip-sequence
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/Affitor/affiliate-skills/tree/main/skills/distribution/email-drip-sequence
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Affitor/affiliate-skills --skill email-drip-sequence
Repository
88
https://github.com/Affitor/affiliate-skills/tree/main/skills/distribution/email-drip-sequence
License
86
MIT
Maintenance
100
11d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
94
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
64
shell or command execution, database access
Stars/forks activity
71
660 stars, 200 forks; issue activity unavailable in current metadata
Adoption
88
660 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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