Skill audit report
🚀 一个基于 Claude Code (Skills + Subagents) 的“去AI味”全栈写作系统。不仅防套路，更通过专属规则强制注入人类观点与细节，搭配读者测试评估与自动图文排版。全面支持 DeepSeek / 智谱GLM / MiniMax 等国产低成本大模型，提供从选题、风格建模到审稿发布的高维全自动写作工作流。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
324 GitHub stars
Stars/forks activity
INFO62
324 stars, 58 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
3mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add dongbeixiaohuo/writing-agent
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/dongbeixiaohuo/writing-agent
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add dongbeixiaohuo/writing-agent
Repository
88
https://github.com/dongbeixiaohuo/writing-agent
License
86
MIT
Maintenance
88
3mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
62
324 stars, 58 forks; issue activity unavailable in current metadata
Adoption
68
324 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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