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 tance-mang/chinese-webnovel-skills --skill namegit clone --depth 1 https://github.com/tance-mang/chinese-webnovel-skillsWrote 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/tance-mang/chinese-webnovel-skills/name)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/name"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/name/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/tance-mang/chinese-webnovel-skills/name"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/name.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 | $0.00106 | $0.00960 |
| Opus 5 | $0.00053 | $0.00480 |
| Sonnet 5 | $0.00021 | $0.00192 |
| Haiku 4.5 | $0.00011 | $0.00096 |
Grade A, and why
name 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 13d 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
角色起名（name）
专治角色名"太大众、太 AI"——AI 一起就是叶辰、林轩、苏念、沈清欢，姓全挤在叶/萧/林/楚。本技能起贴时代、贴身份、有记忆点、不撞大众款的名。
何时用
- 给主角/女主/反派/配角/长辈起名或改名
- 嫌角色名烂大街、太 AI、没记忆点
- "我不会起名字，帮我起一批"
- 给宗门/势力/地名命名
工作流
第 1 步：明确信息
确认：时代/世界观（古风/现代/西幻/修仙）+ 角色身份性格 + 性别 + 起几个。缺就问。
（时代决定风格——古人不能叫现代名，调 references/name-library.md）
第 2 步：按 5 步法起名
- 定时代风格 → 2. 选姓（避开 叶/萧/林/楚/苏 等烂大街网文姓，从姓氏池挑有质感的）→ 3. 取体现性格/命运的字（不堆生僻字）→ 4. 配音韵（好念、声调有起伏）→ 5. 查重查歧义。
第 3 步：成批给候选 + 说明
每个角色给 4-6 个候选，每个标注：为什么贴这个角色、记忆点在哪。
- 反派优先给"文雅冷静"款（比脸谱化的"黑X王"瘆人）。
- 一组配角名互相拉开区分度（别都两字、别都一个调）。
第 4 步：自检
过"起名自检清单"（name-library.md）：避烂大街姓、不撞知名角色、无生僻字、贴时代、配角能区分。
输出格式
【时代/世界观】
【角色：身份+性格】
候选：名1（记忆点/为什么贴）、名2、名3、名4…
【宗门/势力/地名】（如需）
【避坑说明】规避了哪些烂大街起法
原则
- 避开网文流水线姓：叶/萧/林/楚/苏（女主）/慕容——一看就 AI。
- 利落 > 软糯：女主用"野/照/辞/棠"比"清欢/婉儿"更出挑、更不撞。
- 反派要瘆：文雅冷静的反派名最高级。
- 别堆生僻字：读者打不出、记不住的名是大忌。
- 贴时代：长辈用年代名才真实，古人别叫现代名。
反例对照
- ❌ 男主 叶辰/林轩 → ✅ 陆沉 / 霍珩 / 纪川（避网文姓，沉稳有记忆点）
- ❌ 女主 苏念/沈清欢 → ✅ 温野 / 裴知秋 / 江照（利落有反差）
- ❌ 反派 血煞魔君 → ✅ 谢明烛 / 宋邃（文雅冷静更瘆人）
下一步
名字定了 → 用 character 把名字配上完整人设和弧光。
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.
- 13d ago First seen · 56 lines · 106 tokens per session scan A 573956617361
name is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 960 once invoked, about $0.0005 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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