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 startgit 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/start)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/start"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/start/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/start"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/start.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 | $0.00758 |
| Opus 5 | $0.00048 | $0.00379 |
| Sonnet 5 | $0.00019 | $0.00152 |
| Haiku 4.5 | $0.00010 | $0.00076 |
Grade A, and why
start 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 12d 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
网文工坊入口（start）
不用记 30+ 个技能。 告诉我你现在在哪一步，我带你走，背后自动调对应技能。
先问：你现在在哪一步？
① 新建小说（从 0 开新书）
选题 → [强设定先搭世界] → 金手指 → 人设 → 大纲 → 开篇钩 → 写第一章 → 建档
背后自动调：
idea→（强设定加world）→goldfinger→character→outline→hook→expand/cowrite→memory建档
② 继续写（接着之前的书）
读档回顾"写到哪了" → 写下一章 → 查前后一致 → 更新档案
背后自动调：
memory(回顾) →expand或共写cowrite→continuity(逻辑/时间线/情绪/世界状态) →memory(回写)
③ 优化 / 修改（已有正文）
追读体检 → 去 AI 味 / 量化打分 → 情绪演出来 → 校对错别字敏感词
背后自动调：
review→deslop/aidetect→emotion→proofread
④ 投稿 / 分析（准备发了）
核对篇幅字数门槛 → 三章签约体检 → 过审校对 → 平台趋势 → 书名简介标签
背后自动调：
length-standards→submission→proofread→trends→title
怎么带（工作流）
- 先确认用户在 ①②③④ 哪一步（不确定就用一两个问题引导，别一上来甩选项墙）。
- 进对应流程，一步步走：每一步自动调背后的技能，用户只需回答"内容"，不用记命令名。
- 每完成一段，告诉用户下一步是什么、问要不要继续；用户随时可跳步或换门。
- 涉及长篇就提醒建档/读档（
memory）、定期体检（continuity/review）。
原则
- 用户不用知道技能名——路由是你的活。
- 一次推进一步，别一股脑全做完。
- 新手友好；想直接点名技能（如
/webnovel:hook）的老用户照常支持，不强制走入口。 - 终端版对应命令：
/new/continue/optimize/submit（见cli/README.md）。
配合
- 四个门背后就是现有全部技能；本技能只做入口和路由，不重复它们的活。
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.
- 12d ago First seen · 42 lines · 95 tokens per session scan A 149f6c37c692
start is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (55 stars, last pushed 3mo ago), licensed MIT. It adds 95 tokens to every session and 758 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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