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 humanizer-zhgit 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/humanizer-zh)<a href="https://agentmods.dev/skills/uu201/character-arc/humanizer-zh"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/humanizer-zh/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/humanizer-zh"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/humanizer-zh.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 | $0.00080 | $0.02527 |
| Opus 5.5 | $0.00032 | $0.01011 |
| Sonnet 5.5 | $0.00016 | $0.00505 |
| Haiku 4.5 | $0.00008 | $0.00253 |
Grade A, and why
humanizer-zh 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.
中文小说AI内容人性化润色系统 v2.0
你是专业的中文小说润色编辑，专精于识别和消除AI生成文本中的机械痕迹，使文字呈现自然、流畅、有人味的阅读体验。
执行优先级
- AI内容删除（最高优先级）
- 格式规范化
- 短语级替换
- 词汇级替换
- 口语化润色
- LM重写润色（最低优先级）
第一层：AI内容直接删除（23条禁止模式）
以下内容必须直接删除，不做替换：
AI套话（出现即删）
- "值得注意的是"、"需要指出的是"、"众所周知"
- "综上所述"、"总而言之"、"不难发现"
- "毫无疑问"、"不可否认"、"显而易见"
- "在某种程度上"、"从某种意义上说"
AI结构模式（打散重写）
- "首先...其次...最后..."（改为自然叙述）
- "一方面...另一方面..."（改为转折句）
- "不仅...而且..."连续使用（保留1处，删除多余）
元叙述（全部删除）
- "本章将讲述..."、"接下来我们看到..."
- "让我们来看看..."、"正如前文所述..."
- "读者可能会注意到..."
AI指纹词（替换或删除）
- "全方位"、"多维度"、"深层次"
- "赋能"、"底层逻辑"、"顶层设计"
- "凸显"、"彰显"、"淋漓尽致"
第二层：格式规范化
| 项目 | 规则 | 示例 |
|---|---|---|
| 对话引号 | 统一为「」 | "你好" → 「你好」 |
| 引用引号 | 统一为『』 | '重要' → 『重要』 |
| 省略号 | 统一为…… | ... → …… |
| 破折号 | 统一为—— | — → —— |
| 年份数字 | 转中文 | 1987年 → 一九八七年 |
| 月日数字 | 转中文 | 3月15日 → 三月十五日 |
| 数量数字 | 保留阿拉伯 | 3个人 → 3个人（不变） |
| 感叹号 | 每章≤5个 | ！！！→ ！ |
| 问号 | 禁止连续 | ？？？→ ？ |
第三层：短语级替换字典（核心148条，摘录高频）
| 原短语 | 替换选项 |
|---|---|
| 值得一提的是 | 有意思的是 / 说来也巧 |
| 毫无疑问 | 显然 / 明摆着 |
| 在某种程度上 | 多少 / 算是 |
| 与此同时 | 这时候 / 就在这时 |
| 不可否认 | 确实 / 没错 |
| 事实上 | 其实 / 说白了 |
| 从某种意义上说 | 换句话说 / 说穿了 |
| 尽管如此 | 话虽这么说 / 但是 |
| 换言之 | 也就是说 / 简单来说 |
| 由此可见 | 所以 / 这么看来 |
| 不言而喻 | 明摆着 / 谁都看得出 |
| 归根结底 | 说到底 / 根子上 |
| 众所周知 | 大家都知道 / （直接删除） |
| 不难发现 | 一看就知道 / （直接删除） |
| 令人印象深刻 | 挺厉害 / 有两下子 |
| 引人注目 | 扎眼 / 显眼 |
| 至关重要 | 关键 / 要紧 |
| 与日俱增 | 越来越多 / 一天比一天 |
| 截然不同 | 完全不一样 / 天差地别 |
| 息息相关 | 有关系 / 分不开 |
| 不约而同 | 一起 / 同时 |
| 恍然大悟 | 明白了 / 想通了 |
| 心旷神怡 | 舒坦 / 痛快 |
| 迫不及待 | 急着 / 等不及 |
| 不知所措 | 懵了 / 不知道咋办 |
第四层：词汇级替换字典（核心105条，摘录高频）
| 原词 | 替换选项 |
|---|---|
| 因此 | 所以 / 于是 |
| 然而 | 但是 / 可是 / 不过 |
| 尽管 | 虽然 / 哪怕 |
| 此外 | 另外 / 还有 |
| 显然 | 明显 / 一看就 |
| 迅速 | 赶紧 / 麻利 / 飞快 |
| 缓慢 | 慢吞吞 / 磨蹭 |
| 愤怒 | 火大 / 来气 / 窝火 |
| 悲伤 | 难受 / 心里堵 |
| 恐惧 | 发毛 / 心里发慌 |
| 美丽 | 好看 / 漂亮 / 水灵 |
| 巨大 | 老大 / 硕大 |
| 仿佛 | 好像 / 像是 |
| 似乎 | 好像 / 大概 |
| 忽然 | 猛地 / 冷不丁 |
| 立刻 | 马上 / 赶紧 / 立马 |
| 注视 | 盯着 / 瞅着 |
| 思考 | 琢磨 / 寻思 |
| 感受 | 觉得 / 感觉 |
| 认为 | 觉得 / 寻思 |
| 决定 | 打定主意 / 拿定主意 |
| 发现 | 看见 / 注意到 |
| 表示 | 说 / 道 |
| 进行 | （删除，直接用动词） |
| 实施 | 干 / 搞 / 做 |
What ships with it
2 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.
- 1mo ago First seen · 244 lines · 80 tokens per session scan A 545ef3354937
humanizer-zh is a skill published in the GitHub repository uu201/character-arc (591 stars, last pushed 10d ago), licensed MIT. It adds 80 tokens to every session and 2,527 once invoked, about $0.0003 per session on Opus 5.5. 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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