Skill audit report
Create Ian Xiaohei-style HTML/SVG motion illustrations for Chinese articles, scripts, storyboard scenes, workflow explanations, concept metaphors, and short video visual aids. Use when the user asks for 小黑 SVG、漫画感 HTML、分层 SVG 动效、把小黑生图做成 HTML/SVG、可编辑矢量动效、口播流程动画、手绘漫画动效、正文配图动画, or wants a Xiaohei illustration style adapted into controllable HTML/SVG/GSAP output instead of raster image generation.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
1.5K GitHub stars
Stars/forks activity
INFO77
1.5K stars, 167 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
9d since push
License clarity
PASS86
NOASSERTION
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
database surface
Install availability
PASS92
npx skills add Pluviobyte/rnskill --skill ian-xiaohei-svg-motion
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS88
database access
Repository evidence
PASS86
https://github.com/Pluviobyte/rnskill/tree/main/skills/chengfeng-videocut-skills/口播成片/动画/ian-xiaohei-svg-motion
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Pluviobyte/rnskill --skill ian-xiaohei-svg-motion
Repository
88
https://github.com/Pluviobyte/rnskill/tree/main/skills/chengfeng-videocut-skills/口播成片/动画/ian-xiaohei-svg-motion
License
86
NOASSERTION
Maintenance
100
9d since push
AI review
55
Repository license is NOASSERTION, making it unclear how the skill and its assets may be used or redistributed.
README/SKILL.md completeness
86
Usable description available
Dependency risk
82
database surface
Install command safety
92
standard package or runtime install path
Permission surface
88
database access
Stars/forks activity
77
1.5K stars, 167 forks; issue activity unavailable in current metadata
Adoption
88
1.5K 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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