Star Word — AI skill for Claude Code
21 条中文技术写作规则,治 AI 中文输出的 AI 味.
How to install Star Word
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Stargod-0812/star-word and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Star Word does
21 条中文技术写作规则,治 AI 中文输出的 AI 味。Drop-in for Claude Code, Codex, AGENTS.md-compatible agents.
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README
star-word
**22 条中文技术写作规则 + LLM-as-judge + MCP server。治 LLM 中文输出的 AI 味,量化打分到 0-100。**
四件事:
- 生成时约束 — 规则注入 agent 系统提示,让 Claude / GPT / Gemini 起草时就避开 AI 味
- 审阅时检测 —
star-word review给文档打 0-100 分,12 条机械/结构规则零 API 成本 - LLM-as-judge —
star-word judge让模型评 10 条语义规则(气组 + 部分式组),返回 0-10 分 + reasoning - MCP server —
star-word mcp一键接入 Claude Desktop / Cursor / Cline,把 review/judge/rewrite 变成 tool
before.md → 评分 45.3/100 F 级 机械违规 19 处
after.md → 评分 100.0/100 A 级 零违规
corpus/* → 评分 100.0/100 A 级(5 篇正向语料,strict 模式过)
3 个示例段落(Redis 迁移 / 接口超时 / 索引优化):
含 AI 味原文 → 实测平均 43.4/100,F 级
改写示例 → 实测平均 100.0/100,A 级
adapter 接入开销:~3700 token,占 200k 上下文 1.85%
⚠ **样本是作者手工构造的演示对比**(不是真实 LLM 输出抽样)。 用于演示规则覆盖面,不是 evidence-grade bench。 真实 LLM × 多模型 × 多任务的盲评 bench 见 [v0.5 roadmap](#roadmap)。
完整数据见 [`bench/effectiveness.md`](bench/effectiveness.md)。
vs 其他工具
| star-word | Vale.sh | 盘古之白 / autocorrect | PromptFoo / DeepEval | |
|---|---|---|---|---|
| 处理目标 | LLM 中文 AI 味 | 英文 prose | 中英文排版 / 标点 | LLM 输出评测 |
| 中文支持 | ✓ 22 条规则 | 仅英文 | ✓ 但只管格式 | 通用 |
| 语义层 | ✓ LLM-as-judge(仅 Anthropic 家族,跨厂商 v0.5) | 模板规则 | 无 | ✓ 但需自己写 prompt |
| Agent 接入 | ✓ 6 surface(含 MCP) | 无 | 无 | 无 |
| 0-100 评分 | ✓ | 无 | 无 | 自定义 |
niche:**中文** + **agent 生成时注入** + **LLM-as-judge 审阅时打分** + **MCP 一键接 Claude Desktop** 三合一。
60 秒安装
# 推荐:venv 隔离(macOS Homebrew Python / Debian 12+ / Ubuntu 24.04 默认拒绝系统 pip install — PEP 668)
python3 -m venv .venv && source .venv/bin/activate
pip install "git+https://github.com/Stargod-0812/star-word.git@v0.4.5#subdirectory=packages/python"
# 或用 pipx(隔离环境装 CLI 工具的标准方式)
pipx install "git+https://github.com/Stargod-0812/star-word.git@v0.4.5#subdirectory=packages/python"
# 验证
star-word --version # → 0.4.5
# 接入 Claude Code(写到全局 CLAUDE.md)
star-word enable claude-code --global
# 审阅一份文档(默认 normal 模式)
star-word review path/to/doc.md
star-word review path/to/doc.md --mode strict
# 让 LLM 评估语义规则(需 ANTHROPIC_API_
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