Skill audit report
Dialogue-driven LinkedIn positioning sparring partner. Goal-first — audits WHICH specific professional outcome this profile serves BEFORE drafting. Same person produces radically different profiles depending on goal (CTO co-founder, CTO-as-a-service, fractional exec, thought leader, hire-me). 12 exercises: 4-stage setup (goal, non-goals, voice, 6-block intake) + 8 drafting (headline, About, experience-STAR, coherence audit, keywords+skills, UVP, Featured, 30s pitch). Voice-preserving, tension-first, sparring stance (user wins every tie). Static profile only. Surfaces 4 multi-positioning tactics when user has >1 real goal. Use when "improve LinkedIn", "LinkedIn positioning", "LinkedIn headline", "LinkedIn About", "audit LinkedIn".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
20 GitHub stars
Stars/forks activity
FAIL32
20 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
16d 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 digital-stoic-org/agent-skills --skill improve-linkedin
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/digital-stoic-org/agent-skills/tree/main/biz/skills/improve-linkedin
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add digital-stoic-org/agent-skills --skill improve-linkedin
Repository
88
https://github.com/digital-stoic-org/agent-skills/tree/main/biz/skills/improve-linkedin
License
86
MIT
Maintenance
100
16d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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.
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
32
20 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
20 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Shell or command execution
highSkill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.