Skill audit report
Reverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 16 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot, time-anchor, curiosity-gap, contrarian, comment-gate, emotional cold-open, named-gratitude, and 7 more), why it worked, and a blank template. Use to learn from a competitor's post, not to write your own (use linkedin-post-writer).
Skill audit report
Reverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 16 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot, time-anchor, curiosity-gap, contrarian, comment-gate, emotional cold-open, named-gratitude, and 7 more), why it worked, and a blank template. Use to learn from a competitor's post, not to write your own (use linkedin-post-writer).
Skill audit report
Reverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 16 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot, time-anchor, curiosity-gap, contrarian, comment-gate, emotional cold-open, named-gratitude, and 7 more), why it worked, and a blank template. Use to learn from a competitor's post, not to write your own (use linkedin-post-writer).
Skill audit report
Reverse-engineer the hook formula from a viral LinkedIn post URL. Returns which of the 16 canonical 2026 formulas it uses (anaphora, R.I.P., year-pivot, time-anchor, curiosity-gap, contrarian, comment-gate, emotional cold-open, named-gratitude, and 7 more), why it worked, and a blank template. Use to learn from a competitor's post, not to write your own (use linkedin-post-writer).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
653 GitHub stars
Stars/forks activity
INFO71
653 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Repository
88
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
License
86
MIT
Maintenance
100
5d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
71
653 stars, 99 forks; issue activity unavailable in current metadata
Adoption
88
653 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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Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16K 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
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
653 GitHub stars
Stars/forks activity
INFO71
653 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Repository
88
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
License
86
MIT
Maintenance
100
5d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
71
653 stars, 99 forks; issue activity unavailable in current metadata
Adoption
88
653 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.
Compare nearby options
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16K 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
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
653 GitHub stars
Stars/forks activity
INFO71
653 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Repository
88
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
License
86
MIT
Maintenance
100
5d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
71
653 stars, 99 forks; issue activity unavailable in current metadata
Adoption
88
653 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.
Compare nearby options
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16K 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
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Stars · Audit report
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
653 GitHub stars
Stars/forks activity
INFO71
653 stars, 99 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
5d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO72
filesystem or document access, network or browser access
Repository evidence
PASS86
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add sergebulaev/linkedin-skills --skill linkedin-hook-extractor
Repository
88
https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-hook-extractor
License
86
MIT
Maintenance
100
5d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
72
filesystem or document access, network or browser access
Stars/forks activity
71
653 stars, 99 forks; issue activity unavailable in current metadata
Adoption
88
653 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.
Compare nearby options
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
16K 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
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
5.8K Stars · Audit report