From content-creation
Analyzes articles for AI-generated indicators like template phrases, transition word density, sentence uniformity, and paragraph patterns to pass WeChat's 3.27 detection. Outputs risk reports and optional humanized rewrites.
npx claudepluginhub lovstudio/skills --plugin content-creationThis skill uses the workspace's default tool permissions.
检测文章中的 AI 生成痕迹（模板短语、过渡词堆砌、句式雷同等），给出风险
Removes AI writing patterns from text in three modes: pre-write priming with cheatsheets, review with tiered audits and rewrites, detect with flags only. Supports English/Chinese for docs, blogs, emails.
Detects AI-generated fingerprints in writing by scanning 22 patterns and outputs a sequential diagnostic report. Useful for reviewing copy before publishing; defaults to diagnosis only.
Audits prose for 21 AI writing patterns and rewrites using 43-entry replacement table. Use after AI drafting docs, blogs, marketing copy, or communications.
Share bugs, ideas, or general feedback.
检测文章中的 AI 生成痕迹（模板短语、过渡词堆砌、句式雷同等），给出风险 评分和修改建议，并可输出人性化润色后的版本。基于微信公众平台运营规范 3.27 条款（非真人自动化创作行为）的检测逻辑。
You MUST follow these steps in order:
Determine the input source:
--textpython skills/lovstudio-anti-wechat-ai-check/scripts/analyze.py \
--input <path> --format json
Or with inline text:
python skills/lovstudio-anti-wechat-ai-check/scripts/analyze.py \
--text "文章内容" --format json
Show the user:
IMPORTANT: Use AskUserQuestion to ask what to do next:
| Option | Description |
|---|---|
| 仅查看报告 | 用户自己修改，skill 结束 |
| 给出修改建议 | 列出每个问题的具体修改建议，不改原文 |
| 直接输出修改版 | 输出人性化润色后的完整文章 |
When rewriting, follow these humanization rules:
Output the humanized article as markdown. If the input was a file, also offer
to write the result back to a file (with -humanized suffix).
| Argument | Default | Description |
|---|---|---|
--input, -i | — | Input file path (.md, .txt) |
--text, -t | — | Inline text to analyze |
--format, -f | text | Output format: text or json |
No external dependencies — stdlib only.