Skill audit report
Score a visual artifact's implementation quality 0-100 against its composed StyleSeed rule set — category breakdown, evidence, and prioritized fixes.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
943 GitHub stars
Stars/forks activity
INFO71
943 stars, 86 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
14d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add bitjaru/styleseed --skill ss-score
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/bitjaru/styleseed/tree/main/engine/.claude/skills/ss-score
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add bitjaru/styleseed --skill ss-score
Repository
88
https://github.com/bitjaru/styleseed/tree/main/engine/.claude/skills/ss-score
License
86
MIT
Maintenance
100
14d since push
AI review
55
The skill depends on external scripts (styleseed-check.mjs, evidence-gate.mjs) that are not included in the skill directory; it assumes they are installed as part of the styleseed package.
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
71
943 stars, 86 forks; issue activity unavailable in current metadata
Adoption
88
943 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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