Skill audit report
LinkedIn-native long-form article and newsletter writing workflow for LinkedIn and Google-to-LinkedIn topic discovery, business-depth research, professional thought leadership, evidence-led drafting, final humanization, discussion design, SEO settings, auditing, and publish-ready packaging. Use when creating, outlining, researching, enriching, rewriting, humanizing, auditing, or packaging LinkedIn Articles, LinkedIn newsletters, LinkedIn long-form posts, LinkedIn thought leadership, LinkedIn B2B articles, LinkedIn 长文, LinkedIn 专栏, LinkedIn 话题调研, LinkedIn 商务内容, 去 AI 化编辑, or LinkedIn 发布包.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
483 GitHub stars
Stars/forks activity
INFO62
483 stars, 175 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add flaqai/backlink_skills --skill linkedin-writer
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN60
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/flaqai/backlink_skills/tree/main/writer/linkedin-writer
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add flaqai/backlink_skills --skill linkedin-writer
Repository
88
https://github.com/flaqai/backlink_skills/tree/main/writer/linkedin-writer
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The provided excerpt of the audit script (audit-linkedin-markdown.mjs) is incomplete; full review of its code could not be performed, but no obvious security risks were observed in the visible portion.
README/SKILL.md completeness
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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86
Usable description available
Dependency risk
72
credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
60
secrets or environment access, filesystem or document access
Stars/forks activity
62
483 stars, 175 forks; issue activity unavailable in current metadata
Adoption
68
483 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.