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 titlegit 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/title)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/title"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/title/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/title"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/title.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 | $0.00095 | $0.00906 |
| Opus 5 | $0.00048 | $0.00453 |
| Sonnet 5 | $0.00019 | $0.00181 |
| Haiku 4.5 | $0.00010 | $0.00091 |
Grade A, and why
title 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
网文起名（title）
书名决定点击率。本技能专治"AI 味/大众味"——AI 爱起抽象文艺名，网文要的是关键词 + 爽点 + 钩子。
何时用
- 起新书名 / 改名 / 要一批候选
- 嫌名字"太普通、太 AI、太文艺、没记忆点"
- 给已有书名做点击率优化
工作流
第 1 步：明确信息
确认 频道 + 平台 + 题材 + 核心卖点（金手指/爽点）。缺就问，或从已有设定取。
（番茄/七猫爱长名带卖点；起点偏精炼——调 references/platform-profiles.md）
第 2 步：起 6-8 个候选（分风格）
从起名套路各取几种（调 references/title-library.md），覆盖不同风格供挑：
- 关键词+夸张型、第一人称口语型、身份反差型、开局体、系统题材型、反套路调侃型… 每个名字必须满足反 AI 三要素：
- 带题材关键词（系统/读心/侧写/赘婿/重生…，让算法识别）
- 带爽点或钩子（无敌/打脸/倒计时/十年悬案/跪求…）
- 用具体意象，不用抽象形容词（恐怖屋＞惊魂；倒计时＞宿命）
第 3 步：标注 + 自检
每个候选标：风格 + 卖点 + 适配平台。然后过"起名自检清单"（title-library.md），剔除：
- 抽象文艺名（《浮世清欢》类）
- 烂大街通用名（《重生之路》类）
- 没题材关键词的名
第 4 步：推荐 + 说明
挑 2-3 个最优，说明为什么点击率高；可给"安全款"和"大胆款"各一。
输出格式
【题材/频道/平台】
【推荐书名】Top 2-3（标注：为什么抓人）
【全部候选】
1.《___》关键词型 — 卖点：___ — 适配：番茄
2.《___》第一人称型 — …
…
【避坑提醒】哪些常见起法会显 AI/大众，已规避
原则
- 宁可土爽，不要文艺空：网文书名是广告，不是诗。
- 没题材关键词的名一律重起（算法识别不出 = 推不出去）。
- 抽象形容词换成具体意象。
- 热门关键词会变，需要时用
trends联网查当下平台热词。
反例对照（教学用）
- ❌《暗夜追凶》→ ✅《读心刑警：我能看见凶手的犯罪倒计时》
- ❌《重生之路》→ ✅《重生后我把渣男全家送进了局子》
- ❌《修仙日记》→ ✅《我的灵田能种出神仙》
下一步
名字定了 → 用 idea 配卖点标签、submission 写简介投稿。
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 · 62 lines · 95 tokens per session scan A 29e570c18c55
title is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 906 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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