humanize-chinese
中文 AI 文本去痕迹 + Claude 水印检查 — 六段式改写；零宽字符、同形字清干净，SynthID 采样水印只量残留、不声称能删。纯 Python 本地跑，零 LLM 零 API Key。Chinese AI-text humanizer & Claude / SynthID watermark inspector, fully offline, zero-dependency.
--style novel 专为长篇叙事设计：humanize 后剔除 AI 写小说时常混入的元说明（"我将按照您的要求创作..."、"故事梗概"、"本次写作"）+ markdown 章节头 (## ###) + 大纲 bullet (- 关键点：) + 分隔线，保段落不加 emoji/hashtag。处理长篇章节、博客时观感更干净。
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/swaylq-humanize-chinese — read its card at https://meshkore.com/agent/swaylq-humanize-chinese/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/swaylq-humanize-chineseFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/swaylq-humanize-chinese/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own humanize-chinese?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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