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.
npx skills add uu201/character-arc --skill novel-polishinggit clone --depth 1 https://github.com/uu201/character-arcWrote 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/skills/uu201/character-arc/novel-polishing)<a href="https://agentmods.dev/skills/uu201/character-arc/novel-polishing"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-polishing/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/skills/uu201/character-arc/novel-polishing"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/novel-polishing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00077 | $0.01269 |
| Opus 5 | $0.00039 | $0.00634 |
| Sonnet 5 | $0.00015 | $0.00254 |
| Haiku 4.5 | $0.00008 | $0.00127 |
Grade A, and why
novel-polishing 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 10d 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
润色与去AI味
Purpose
提供AI生成文本的润色与去AI化方法，帮助作者将AI辅助生成的内容转化为具有人性温度和个人风格的文字。
When to Use
- 用户需要润色AI生成的网文内容
- 用户需要去除文本中的AIGC痕迹
- 用户需要改写机械句式
- 用户需要增加口语化与个性化表达
- 用户需要注入个人写作风格
Instructions
去AI化核心策略
1. 改写机械句式
- 减少"首先…其次…最后"等完美句式
- 打破"总-分-总"的机械结构
- 避免每段都是"主题句+展开+总结"
- 用不规则句式替代对称句式
2. 添加口语化表达
- 适当使用语气词："靠""哎""真是的""得了吧"
- 内心独白用口语而非书面语
- 对话中增加口头禅和语气词
- 掺入5%口语填充词（比如、其实、不过、话说回来）
3. 融入个人轶事和观点
- 加入主角独特的个人经历回忆
- 插入主观评价和偏见
- 增加不完美但真实的思考过程
- 用个人化的比喻替代通用比喻
4. 调整句子长度变化
- 长短句交替，避免均质
- 关键时刻用短句增强冲击力
- 描写时用长句增加画面感
- 句长变异系数保持在0.3-0.5
5. 增加修辞手法使用
- 用比喻替代直白描述
- 用通感增加感官层次
- 用留白替代过度解释
- 修辞密度控制在15-25%
6. 引入不规则表达
- 偶尔打破语法规则（口语中合理）
- 使用不完整句子
- 插入突然的思路跳跃
- 增加自我纠正和犹豫
润色指令模板
通用去AI化指令：
减少过于完美的句式结构，添加适当不规则表达，使用具个性化语言，偶尔用口语化表达，避免机械化段落结构，保留核心信息和意图，使用2-3成复合句，掺入5%口语填充词（比如、其实、不过等）
战斗场景润色：
增强动作描写的画面感，使用短句增强节奏，添加感官细节（触觉/听觉/嗅觉），减少过度解释，让动作本身说话，加入主角的即时感受和判断
情感场景润色：
增加内心独白的真实感，使用不完整的思绪，添加身体反应描写（心跳/手抖/呼吸），减少直白的情感陈述，用行为和细节暗示情感
对话润色：
增加口语化程度，添加语气词和停顿，为每个角色设计独特的说话方式，增加潜台词和言外之意，减少信息量过大的对话
风格增强技术
- 词汇替换：将通用词替换为更具画面感的词
- 句式变换：将陈述句变为反问/感叹/倒装
- 细节增加：在关键处添加感官细节
- 节奏调整：长短句交替，快慢节奏切换
- 留白处理：删除过度解释，留给读者想象
Bundled Resources
references/index.md— 润色工程索引references/de-ai-techniques.md— 去AI化技术详解references/polishing-commands.md— 润色指令模板库references/style-enhancement.md— 风格增强技术references/before-after-examples.md— 前后对比案例
Checklist
- 机械句式已改写
- 口语化表达已添加
- 个人风格已注入
- 句长变化自然
- 修辞手法适度
- 不规则表达合理
- AIGC痕迹已降低
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 129 lines · 77 tokens per session scan A b751d3d6db4d
novel-polishing is a skill published in the GitHub repository uu201/character-arc (556 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 1,269 once invoked, about $0.0004 per session on Opus 5. 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.
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