Skill audit report
linkedin_post Audit report.
Use when you need to create a LinkedIn post from a milestone, achievement, or topic. Produces authentic, story-driven posts with proper formatting (line breaks, hooks, CTAs).
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
25 GitHub stars
Stars/forks activity
WARN43
25 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, external package install surface
Install availability
PASS92
npx skills add hogan-tech/brand-loom --skill linkedin_post
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/hogan-tech/brand-loom/tree/main/skills/linkedin-post
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add hogan-tech/brand-loom --skill linkedin_post
Repository
88
https://github.com/hogan-tech/brand-loom/tree/main/skills/linkedin-post
License
86
Apache-2.0
Maintenance
88
3mo since push
AI review
55
SKILL.md is concise but lacks a detailed workflow section and does not show example outputs for the different post types.
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, network or browser access
Stars/forks activity
43
25 stars, 4 forks; issue activity unavailable in current metadata
Adoption
42
25 GitHub stars
Warnings
- Dependency or permission surface needs review
- SKILL.md is concise but lacks a detailed workflow section and does not show example outputs for the different post types.
- Limitations and safe operating boundaries are not explicitly documented, such as requiring human review before publishing or not making network calls.
- The hosted Neoxra service is mentioned without clarifying whether the skill itself makes external calls or transmits user content.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 25 GitHub stars
- Stars/forks activity: 25 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, external package install surface
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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