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 deconstructgit 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/deconstruct)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/deconstruct"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/deconstruct/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/deconstruct"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/deconstruct.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 | $0.00861 |
| Opus 5 | $0.00048 | $0.00430 |
| Sonnet 5 | $0.00019 | $0.00172 |
| Haiku 4.5 | $0.00010 | $0.00086 |
Grade A, and why
deconstruct 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 11d 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
拆书对标爆款（deconstruct）
爆款不是抄来的，是拆出结构、复用到自己题材。本技能把一本火书"拆零件"，提炼可复用的写作模板。
⚠️ 原创底线
学结构、学套路、学节奏——不抄原文、不照搬剧情、不复制人物。
套路（如打脸、扮猪吃老虎）是公共写作技法，可自由借鉴；具体文字、独创设定、剧情桥段受版权保护，不可复制。涉及同人/IP 见 fanfic-guide.md。
何时用
- "这本书为什么火，帮我拆一下"
- 对标某本爆款，想学它的写法
- 提炼爆文的开篇/爽点/金手指/节奏模板
- 想"照爆款结构写我自己的故事"
工作流
第 1 步：获取对标对象
用户提供书名/简介/章节文本，或描述这本书。
（要查它在平台的真实热度/同类爆款，用 trends 联网。已有拆解范例见 references/case-studies.md，可参照其拆解维度。）
第 2 步：六维拆解
按网文要素拆出结构（不复述原文）：
【对标书】+ 平台 + 频道 + 题材
【一句话爆点】它的核心卖点是什么
【开篇结构】用了哪种开篇钩（调 hook-library）+ 几句立危机
【金手指】什么流派、怎么上线、怎么成长（调 goldfinger-types）
【爽点节奏】爽点类型 + 密度 + 升级链（调 trope-library）
【人物模板】主角记忆点 + 反派强度 + 关系张力
【章节节奏】单章字数、章尾钩规律、付费节点设计
【成功要素】它做对了哪 3 件事
第 3 步：提炼可复用模板
把"它的结构"抽象成"你能用的模板"：
【可复用模板】
- 开篇公式：______（套你的题材）
- 金手指框架：______（换你的设定）
- 爽点链：______（换你的对手/场景）
- 节奏配方：______
【套用示范】用你的题材填一遍这个模板（原创内容）
【差异化提醒】别 1:1 复刻，至少换一个维度做出新鲜感
第 4 步：衔接创作
把模板喂给 idea/outline/spark，生成你自己原创的书。
原则
- 输出的是抽象结构和方法，不是原文段落。
- 永远提醒"换皮不够，要做差异化"（调
trope-library.md反套路一节）。 - 多本同类爆款一起拆，能看出"这个题材的公共成功公式"。
下一步
模板提炼好 → idea 落选题、outline 排大纲、spark 直接孵化初稿。
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.
- 11d ago First seen · 61 lines · 95 tokens per session scan A fd5f64a476c3
deconstruct 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 861 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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