Skill audit report
B2B LinkedIn ghostwriting — hooks, post structures, and copywriting frameworks for conversion-focused posts. Use when the user wants to write LinkedIn content, create ghostwritten posts, ghostwrite for a founder or executive, or develop a B2B social strategy. Apply when the user shares a story, result, or insight and wants it turned into a post. Do NOT use for newsletter or Substack issues — use samber/cc-skills@substack-ghostwriting instead.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
200 GitHub stars
Stars/forks activity
WARN57
200 stars, 15 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add samber/cc-skills --skill linkedin-ghostwriting
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/samber/cc-skills/tree/main/skills/linkedin-ghostwriting
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add samber/cc-skills --skill linkedin-ghostwriting
Repository
88
https://github.com/samber/cc-skills/tree/main/skills/linkedin-ghostwriting
License
86
MIT
Maintenance
100
6d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
100
no high-risk permission surface in public metadata
Stars/forks activity
57
200 stars, 15 forks; issue activity unavailable in current metadata
Adoption
68
200 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.
Compare nearby options
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16K Stars · Audit report
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
4.8K Stars · Audit report
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
37K Stars · Audit report