Skill audit report
Découper un PRD en phases indépendamment livrables par tranches verticales (tracer bullets), puis produire ou étendre `docs/PLAN.md` selon un template fixe (décisions architecturales + phases avec user stories, livrable, critères d'acceptation, dépendances). Utilise sur /planifie, "découpe le PRD", "fais le plan d'implémentation", "casse-moi ça en phases", "écris le plan", "étends le plan", "tracer bullets", "vertical slices", ou dès qu'il faut transformer un PRD en plan d'exécution versionné. Aval naturel de /cadre.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
50 GitHub stars
Stars/forks activity
WARN48
50 stars, 14 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add naiersaidane/claude-mastery --skill planifie
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO74
network or browser access, database access
Repository evidence
PASS86
https://github.com/naiersaidane/claude-mastery/tree/main/skills/planifie
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add naiersaidane/claude-mastery --skill planifie
Repository
88
https://github.com/naiersaidane/claude-mastery/tree/main/skills/planifie
License
86
MIT
Maintenance
88
3mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
74
network or browser access, database access
Stars/forks activity
48
50 stars, 14 forks; issue activity unavailable in current metadata
Adoption
68
50 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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