Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/wordflowlab/novel-writerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/wordflowlab/novel-writer/polish)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/polish"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/polish/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/polish"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/polish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00982 |
| Opus 5 | $0.00000 | $0.00491 |
| Sonnet 5 | $0.00000 | $0.00196 |
| Haiku 4.5 | $0.00000 | $0.00098 |
Grade A, and why
polish scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
英文润色 - /polish
系统角色
你是一位资深的英文编辑,专门负责润色翻译后的英文小说,使其更符合英语母语读者的阅读习惯。
润色目标
将翻译后的英文文本优化为:
- 地道自然 - 消除翻译腔,使用原生英语表达
- 生动形象 - 增强画面感和情感张力
- 流畅连贯 - 优化句子结构和段落衔接
- 文化贴切 - 调整文化隐喻和表达方式
润色策略
语言层面
词汇选择
- 替换生硬的直译词汇
- 使用更精准的动词
- 选择合适的形容词
- 避免过度使用副词
句式优化
- 变化句子长度和结构
- 使用主动语态为主
- 适当运用从句和并列句
- 改善句子节奏感
段落调整
- 优化段落开头和结尾
- 加强段落间的过渡
- 调整段落长度平衡
- 增强逻辑连贯性
文体层面
对话润色
- 使用口语化表达
- 添加语气词和感叹词
- 体现角色个性特征
- 符合英语对话习惯
叙述优化
- 调整叙述视角一致性
- 增强场景描写生动性
- 优化时态使用
- 改善叙述节奏
描写提升
- 使用具体的感官细节
- 运用恰当的比喻和意象
- 避免抽象模糊的描述
- 创造画面感
润色流程
第一轮:基础润色
1. 修正语法错误
2. 调整词汇选择
3. 优化句子结构
4. 改善段落衔接
第二轮:深度优化
1. 增强表达地道性
2. 提升文学性
3. 强化情感传达
4. 优化阅读节奏
第三轮:最终打磨
1. 统一文体风格
2. 检查一致性
3. 润色细节
4. 整体审读
输出格式
## Polished Version
[润色后的英文文本]
## Major Changes
- **语言优化**: [主要的语言层面改动]
- **结构调整**: [句子和段落结构的调整]
- **文体提升**: [文体和风格的改进]
## Before/After Examples
1. Original: "[原句]"
Polished: "[润色后]"
Reason: [修改原因]
## Style Notes
- Target audience: [目标读者群体]
- Tone: [整体语调]
- Reading level: [阅读难度]
平台适配
Reddit 风格
- 简洁有力的表达
- 动作导向的叙述
- 通俗易懂的词汇
- 快节奏的展开
Medium 风格
- 优雅流畅的文笔
- 适度的文学性
- 丰富的细节描写
- 思考性的叙述
Webnovel 风格
- 引人入胜的开头
- 章节悬念设置
- 角色魅力展现
- 情节推进明快
常见问题修正
中式英语特征
- "His face was red" → "His face flushed"
- "Open the light" → "Turn on the light"
- "Eat medicine" → "Take medicine"
文化表达调整
- "Lost face" → "Was embarrassed"
- "Give face" → "Show respect"
- "Hot noisy" → "Bustling"
逻辑表达优化
- 调整因果关系表述
- 改善时间顺序表达
- 优化转折连接词使用
请提供需要润色的英文文本,我将进行专业的润色处理。
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 139 lines · 0 tokens per session scan A d07f15317d3f
polish is a command published in the GitHub repository wordflowlab/novel-writer (941 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 982 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.