Skill audit report
Plan and draft LinkedIn posts optimized for 360Brew, LinkedIn's decoder-based ranking model. Use when the user wants LinkedIn post ideas, a content plan, a post draft, or asks why their LinkedIn posts get no reach. Grounds every post in the user's real stories and enforces the 2026 ranking rules (saves over likes, no hashtags, analytical first line, pillar discipline).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
23 GitHub stars
Stars/forks activity
FAIL32
23 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add squerne/open-career-skills --skill linkedin-360brew-planner
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/squerne/open-career-skills/tree/main/.claude/skills/linkedin-360brew-planner
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add squerne/open-career-skills --skill linkedin-360brew-planner
Repository
88
https://github.com/squerne/open-career-skills/tree/main/.claude/skills/linkedin-360brew-planner
License
86
MIT
Maintenance
88
2mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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
32
23 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
23 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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