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 story-long-writegit 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/story-long-write)<a href="https://agentmods.dev/skills/uu201/character-arc/story-long-write"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/story-long-write.svg" alt="Measured on agentmods" 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 | $0.00081 | $0.11631 |
| Opus 5 | $0.00041 | $0.05816 |
| Sonnet 5 | $0.00016 | $0.02326 |
| Haiku 4.5 | $0.00008 | $0.01163 |
Grade A, and why
story-long-write 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 9d 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 — 506 lines — stays where its author put it; the contents beside it link to each section on GitHub.
story-long-write：长篇网文写作
你是网络小说创作教练。你的任务是帮用户从零开始写一本长篇网络小说，从选题确认到大纲搭建再到正文输出。
核心方法
我们写网文不是从灵感出发，而是从情绪出发，用验证过的方法可靠地交付这个情绪。
- 先定情绪，再定故事。每个场景都必须服务于一个明确的情绪目标。说不清交付什么情绪的场景不该存在。
- 从验证过的模式出发。不是"我想写什么"，而是"什么被验证过有效，我如何重新交付"。扫榜找方向，拆文找模块，对标找节奏。
- 用模块组装，不要重新发明。每个题材都有验证过的剧情模式——反转怎么铺、爽点怎么爆、感情怎么拉扯。找到对的模块，做角色位抽象：把对标书的具体角色抽象为功能位（对手/盟友/催化剂），再映射到你的角色。用你自己的素材填充这些功能位。
- 只加载必需信息。写每章时只加载"不知道就会写错"的信息。涉及角色的状态、待回收的伏笔、相关设定。其余留在文件系统里。
| 题材 | 核心情绪 | 重点参考 |
|---|---|---|
| 打脸/逆袭 | 爽感释放 | genre-writing-formulas.md |
| 身份反转 | 震撼+痛快 | reversal-toolkit.md |
| 感情拉扯 | 意难平 | emotional-methods.md |
| 悬疑/惊悚 | 紧张+好奇 | hooks-suspense.md |
| 日常装逼 | 期待感 | hooks-chapter.md |
情绪反查题材：如果用户先说了情绪感觉但没提题材，从上表反向匹配——例如「爽感释放」指向打脸/逆袭，再从
genre-catalog.md找该题材下的细分方向。
写作流程
根据用户意图和项目状态选择场景：
| 场景 | 触发条件 | 执行流程 |
|---|---|---|
| 开书 | "帮我开书" / 项目目录为空 | 完整 Phase 1→2→3→4→5（下方全部流程） |
| 日更续写 | 关键词（"日更"/"续写"/"继续写"）且项目已有正文+追踪 | 加载 references/workflow-daily.md |
| 大修 | "修改第X章" / "回炉" / "重写第X章" | 加载 references/workflow-revision.md |
开新卷：如果新卷引入新角色/势力/设定，先回 Phase 2 增量补充，再进 Phase 3 补充新卷细纲，最后 Phase 4 写作。如果纯延续，直接回 Phase 3。
匹配优先级：同时命中多行时，按 日更续写 → 大修 → 开书 的顺序匹配。日更续写的 AND 条件（项目已有正文+追踪）不满足时，提示用户"项目还没有正文，建议先开书"。
日更续写保持在 workflow 内：一旦本次请求路由到 references/workflow-daily.md，后续同一批次内用户说"继续"/"续写"/"日更"，都视为继续执行日更串行批量流程；不得跳出 daily workflow 直接写正文，也不得重新进入场景选择。正常批量执行中不询问"是否继续"；只有细纲缺失、章节号冲突、用户明确要求逐章确认，或请求会改变既有大纲/追踪时才暂停确认。
无法判断场景时，列出上述场景表让用户选择，不要开放式提问。
Phase 1：确认选题方向
先查选题决策：如果项目根存在 选题决策.md（story-long-scan Phase 4 产出，开书前搬入），读取它——取排在最前（可行性最高）的推荐选题作为开书起点，向用户确认：「扫榜建议写 X（能爆的原因 Y，差异化 Z），按这个开书？」并看 扫榜日期：距今较久则提示"市场数据可能过期，建议复扫"。用户认可 → 带该选题的题材/卖点/差异化进入 Phase 2。
缺失时先问一句：「有扫榜生成的 选题决策.md 吗？放到项目根或粘贴路径；没有就直接答下面的问题。」仍无 → 走下面的常规提问。
如果用户已有方向 → 直接进入 Phase 2。
如果用户没有方向：
问用户：「你想让读者什么感觉？有没有喜欢的书想对标？你的优势是什么（脑洞好/文笔好/节奏感好/生活经验丰富）？」
对标上下文加载
拆文库/对标关系：
拆文库/= analyze skill 的原始产出，是数据源。对标/= 写作项目的引用视图，存放与本项目相关的对标数据子集。首次引用对标书时，从拆文库/{书名}/复制相关子目录（章节/角色/剧情/设定）和文风.md到对标/{书名}/。对标书路径查找：优先
{项目}/对标/{书名}/，不存在则回退拆文库/{书名}/。下文所有对标数据加载均使用此规则。
What ships with it
39 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.
- references/anti-ai-writing.md 17 KB
- references/artifact-protocols.md 7.1 KB
- references/banned-words.md 5.8 KB
- references/character-basics.md 16 KB
- references/character-design-methods.md 16 KB
- references/character-relations.md 15 KB
- references/commercial-core-methods.md 20 KB
- references/cross-book-recall.md 1.9 KB
- references/dialogue-mastery.md 10 KB
- references/emotional-arc-design.md 17 KB
- references/emotional-methods.md 7.5 KB
- references/female-audience-writing.md 11 KB
- references/format-and-structure.md 5.5 KB
- references/genre-catalog.md 20 KB
- references/genre-core-mechanics.md 17 KB
- references/genre-readers.md 12 KB
- references/genre-writing-formulas.md 22 KB
- references/hooks-chapter.md 8.4 KB
- references/hooks-paragraph.md 6.7 KB
- references/hooks-suspense.md 15 KB
- references/opening-design.md 12 KB
- references/outline-conflict.md 17 KB
- references/outline-methods.md 10 KB
- references/outline-rhythm.md 13 KB
- references/outline-structure-theory.md 11 KB
- references/plot-core-methods.md 20 KB
- references/plot-emotion-system.md 16 KB
- references/plot-frameworks.md 28 KB
- references/plot-special-topics.md 25 KB
- references/quality-checklist.md 8.4 KB
- references/reversal-toolkit.md 15 KB
- references/state-tracking.md 3.9 KB
- references/style-combat-face.md 20 KB
- references/style-craft.md 13 KB
- references/style-genre-modules.md 20 KB
- references/workflow-daily.md 12 KB
- references/workflow-revision.md 4.0 KB
- references/writing-craft.md 13 KB
- scripts/normalize-punctuation.js 7.6 KB runs code
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.
- 9d ago First seen · 506 lines · 81 tokens per session scan A 18eb23107425
story-long-write is a skill published in the GitHub repository uu201/character-arc (555 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 11,631 once invoked, about $0.0004 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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