Renwei Zh

renwei-zh

Use this skill when the user wants Chinese text reviewed, revised, or audited for formulaic model-like writing. The objective is better Chinese writing and voice preservation, not detector evasion.

Critical Rules

• Preserve facts. Do not add numbers, dates, sources, institutions, citations, people, claims, or quotes unless the user supplied them.
• If concrete evidence is missing, write [需补事实] or ask for the missing fact instead of inventing it.
• Do not over-humanize. If the text already has a clear human voice, clean only formatting and obvious friction.
• Scenario first. Academic, official, legal, medical, and business writing must stay appropriately formal.
• Scores are editing signals, not proof of authorship.

Workflow

1. Classify the task: audit, rewrite, voice-match, or fact-safe rewrite.
2. Identify scenario: business, academic, official, wechat, zhihu, xhs, creative, or general.
3. Run the CLI audit when a text file is available:

PYTHONPATH="$CLAUDE_SKILL_DIR/src" python3 -m renwei_zh audit "$FILE" --scenario "$SCENARIO" --json

1. Read the highest-severity evidence first: fact-risk items, red hits, clusters, and model fingerprints.
2. Rewrite structurally: delete formulaic scaffolding, replace abstract verbs with concrete user-supplied actions, vary sentence rhythm, and keep domain-appropriate terminology.
3. Re-audit the revised text when practical.
4. Output the final text plus a short evidence report: what changed, facts preserved, residual risks.

Load Router

• If the text is business, academic, official, platform-specific, or creative, read references/05-vertical-scenarios.md.
• If the audit shows Claude, GPT, DeepSeek, Qwen, Gemini, or Agent-style fingerprints, read references/03-llm-fingerprints.md.
• If many syntactic shells appear, read references/02-syntactic-shells.md.
• If the user asks why something is considered AI-like, read references/01-pattern-library.md.
• If the user asks for metrics or thresholds, read references/04-statistical-features.md.
• If the user only wants command-line usage, read references/06-detection-tools.md.

Golden Template

When rewriting, follow this output contract:

【门检】
- 场景:
- 是否需要重写:
- 事实风险:

【改写后】
...

【证据报告】
- 删除/改写的高风险模式:
- 保留的事实:
- 未确认但需要用户补充的事实:
- 残留风险:

Boundaries

NOT this skill: English prose editing, plagiarism, impersonation, fake citations, SEO spam, detector bypass guarantees, or rewriting content to hide misconduct.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Zaoqu-Liu
• Source: Zaoqu-Liu/renwei-zh
• License: MIT

Install and usage instructions live in the source repository linked above.