Skill audit report
Write or develop a LinkedIn post. Use ALWAYS for LinkedIn content - writing, drafting, developing ideas into drafts, or editing.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
98 GitHub stars
Stars/forks activity
WARN43
98 stars, 3 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 techwolf-ai/ai-first-toolkit --skill write-linkedin-post
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/techwolf-ai/ai-first-toolkit/tree/main/plugins/content-studio/skills/write-linkedin-post
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add techwolf-ai/ai-first-toolkit --skill write-linkedin-post
Repository
88
https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/content-studio/skills/write-linkedin-post
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The word-count script uses a sed extraction that may prematurely stop if content lines begin with alphabetic characters, potentially misreporting word counts.
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
43
98 stars, 3 forks; issue activity unavailable in current metadata
Adoption
68
98 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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