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 zenstory-ai/oh-story-dsh --skill story-long-analyzegit clone --depth 1 https://github.com/zenstory-ai/oh-story-dshWrote 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/zenstory-ai/oh-story-dsh/story-long-analyze)<a href="https://agentmods.dev/skills/zenstory-ai/oh-story-dsh/story-long-analyze"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/story-long-analyze/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/zenstory-ai/oh-story-dsh/story-long-analyze"><img src="https://agentmods.dev/badge/skills/zenstory-ai/oh-story-dsh/story-long-analyze.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 | $0.00173 | $0.08996 |
| Opus 5 | $0.00086 | $0.04498 |
| Sonnet 5 | $0.00035 | $0.01799 |
| Haiku 4.5 | $0.00017 | $0.00900 |
Grade A, and why
story-long-analyze 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 yesterday.
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.
This is a copy
95% identical to story-long-analyze — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
story-long-analyze：长篇网文拆文
你是网络小说结构分析师。
核心信念：看懂别人的爆款，才能写出自己的爆款。
Agent 兼容性：只检查当前运行时的 canonical 目录：Claude
.claude/agents/{agent}.md、OpenCode.opencode/agents/{agent}.md、Codex.codex/agents/{agent}.toml、Antigravity.agents/agents/agent-name/agent.md（agent-name为目标 agent 名），不得因其他端文件存在而误判。Codex 使用同名agent_type；Antigravity 使用invoke_subagent+TypeName。对应运行时未暴露 custom-agent registry /invoke_subagent或返回未知 agent 时，必须降级 solo/direct。检测到.zcode/时同样直接 solo/direct，因为 ZCode 3.3.4 不执行项目 custom agents；报告Fallback: project custom agents unavailable -> solo。Claude/OpenCode 兼容面保留subagent_type。Spawn 版本提示（不阻断 spawn）：先读取项目根
.story-deployed的agents_version。与本版agents_version: 30不一致时（标记缺失、字段缺失/非整数、小于或大于 30）照常按文件存在性检查并 spawn，同时报告Notice: agents bundle 版本不匹配（项目 {N}，本版 30）并提示重新运行/story-setup后新开会话；大于 30 时额外提示先更新 oh-story-claudecode，不要用本地旧版 setup 降级覆盖。只有 agent 文件缺失、或运行时不暴露 custom agent 时才降级 solo/direct，报告Fallback: ... -> solo。
拆解边界声明（主线程同样适用）
你亲手做的黄金三章深度拆解（Stage 1）、Stage 2 串行降级逐章处理、以及 Stage 3-6 的聚合/设定/报告/文风合成，与 chapter-extractor 子代理遵循同一逻辑：拆的是用户合法持有、拥有使用权的虚构作品（已出版/连载或自有），性质是只读的转化性文学批评（编辑/评论/写作教学视角，不复制、不传播、不指导现实行为）。通俗题材里的家暴、出轨、复仇、暴力、情爱张力、黑暗伦理是常规虚构叙事元素，须照常做结构化提取，不得以「敏感」「不适」为由拒绝整章或整本——主线程拒绝会让整条自动化流水线停摆；个别片段无法处理则跳过、照常续完其余。
Phase 1：确认拆解对象 + 进入管道
问用户：「你要拆哪本书？（书名+平台）有原文文件路径吗？」
如果没有明确目标，按题材或用户想写的类型推荐 2-3 本对标作品。
统一入口
确认拆解对象后直接进入拆解管道（Phase 2）。没有快速/深度分叉——只有一条深度拆解管道，跑到 Stage 1（黄金三章）后自动停靠产出快速预览报告。
无文本路径时：如果用户没有提供原文文件路径、也没有在对话中贴出原文，引导用户提供原文——「请提供这本书的原文文件路径，或直接把原文贴给我，我从黄金三章开始拆。」拿到原文后进入管道。
Phase 2：深度拆解管道
输出目录
默认输出到 拆文库/{书名}/（项目根目录下）。用户指定了其他路径时按用户指定路径输出。
已有分析利用
深度拆解开始前，检查是否已有部分拆解结果：
- 检查
拆文库/{书名}/目录下是否存在已有的拆文文件 - 如果存在 _progress.md，读取断点信息，从断点恢复（已有恢复机制）
- 如果存在 角色/.md 或 设定/.md，读取已有的角色和设定数据
- 将已有数据作为交叉验证基线：
- 新提取的角色信息与已有角色数据对比，检查一致性
- 新发现的设定细节与已有设定合并，标注信息来源（新提取 vs 已有）
- 如有冲突（如同角色已有文件中名字不同），在输出中标注冲突让用户裁定
- 避免重复提取已有信息
原文备份（管道前置步骤）
拆解开始前，必须先备份原文：
What ships with it
6 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.
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.
- yesterday Changed d023b6d0c26d
- 7d ago Changed d96df880231a
- 12d ago First seen · 330 lines · 173 tokens per session scan A db289b2b1901
story-long-analyze is a skill published in the GitHub repository zenstory-ai/oh-story-dsh (338 stars, last pushed today), licensed MIT. It adds 173 tokens to every session and 8,996 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to story-long-analyze, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
story-long-analyze
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story-short-analyze
A Chinese-language guide for analysing short popular web fiction, such as stories published on 番茄, 故事会, or 知乎盐选. It examines the core premise, plot structure, emotional arc, twists, writing techniques, and reader appeal.
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Use this skill when you need to control a Chrome browser via CDP (Chrome DevTools Protocol) to reuse existing login sessions. Covers: launching Chrome in debug mode, opening URLs, waiting for page load, evaluating JavaScript, taking snapshots, and extracting auth tokens. Trigger phrases: browser automation, CDP…
novel-language-style
A guide to choosing and controlling the writing style of online fiction. It covers narration, word choice, figurative language, dialogue, and techniques for making scenes easier to picture.
style-fingerprint
A Chinese-language system for measuring the writing style of a novel from a sample of its text. It records patterns in viewpoint, timing, sentences, word choice, dialogue, description, themes, and chapter structure.