Skill audit report
Design irresistible affiliate offers using the Hormozi Grand Slam framework. Triggers on: "create an offer for", "design my offer", "grand slam offer", "make an irresistible offer", "why should someone buy through my link", "offer framework", "value proposition for", "Hormozi offer", "offer stack", "make my offer irresistible", "craft an offer", "what makes my offer different", "offer design", "increase perceived value".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
675 GitHub stars
Stars/forks activity
INFO71
675 stars, 202 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
12d 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 grand-slam-offer
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/landing/grand-slam-offer
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 grand-slam-offer
Repository
88
https://github.com/Affitor/affiliate-skills/tree/main/skills/landing/grand-slam-offer
License
86
MIT
Maintenance
100
12d 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
675 stars, 202 forks; issue activity unavailable in current metadata
Adoption
88
675 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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