Skills humanizer-zh
Remove obvious AI-writing traces from Chinese text in a constrained way. Use when Codex needs to reduce AI smell without changing facts, data, or the article's core argument.
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/abigale-cyber/content-system-humanizer-zh" ~/.claude/skills/openclaw-skills-humanizer-zh && rm -rf "$T"
OpenClaw · Install into ~/.openclaw/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/abigale-cyber/content-system-humanizer-zh" ~/.openclaw/skills/openclaw-skills-humanizer-zh && rm -rf "$T"
manifest:
skills/abigale-cyber/content-system-humanizer-zh/SKILL.mdsource content
Humanizer ZH
This repo-local skill is inspired by
op7418/Humanizer-zh and blader/humanizer, but implemented for the content-system runtime.
Quick Start
.venv/bin/python -m skill_runtime.cli run-skill humanizer-zh \ --input content-production/drafts/harness-engineering-一人公司-article.md
What It Does
- Detects obvious AI-writing traces in Chinese prose
- Applies a surgical rewrite pass on body paragraphs
- Preserves facts, numbers, headings, structure, and article intent
- Writes a humanized copy plus a JSON report
Output
content-production/drafts/<slug>-humanized.mdcontent-production/drafts/<slug>-humanizer-report.json
Constraints
- Do not invent new facts or sources
- Do not flatten strong viewpoints into neutral filler
- Do not rewrite headings or titles by default
- Do not pretend the text comes from personal experience if it does not