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 | $0.00150 | $0.03255 |
| Opus 5.5 | $0.00060 | $0.01302 |
| Sonnet 5.5 | $0.00030 | $0.00651 |
| Haiku 4.5 | $0.00015 | $0.00326 |
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 today.
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 — 104 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。
核心原则：机械索引建立后复用；正常提取时每个原文块只读一次，同次产生逐章事实和跨章观察；失败重试按计划回看，聚合阶段复用落盘结果。
Agent 兼容性：只检查当前宿主的 agent；ZCode 查插件注册的同名角色，用
Agent按实际 schema 派发，不要求.zcode/agents。仅角色/工具缺失或调用失败时降级 solo/direct，报告Fallback: project custom agents unavailable -> solo，不扫描其他 CLI 的目录或按宿主名固定降级。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: 37不一致时（标记缺失、字段缺失/非整数、小于或大于 37）照常按当前宿主角色来源检查并 spawn，同时报告Notice: agents bundle 版本不匹配（项目 {N}，本版 37）并提示重新运行/story-setup后新开会话；大于 37 时额外提示先更新 oh-story-claudecode，不要用本地旧版 setup 降级覆盖。只有当前宿主角色缺失或不暴露调用能力时才降级 solo/direct。
分析边界
- 只根据可读原文和已有资料下结论；缺失写“未知”或“文本未明确”。
- 硬事实附章节、
source_locator或 5–15 字定位词；推断标证据等级。 - 区分客观发生顺序、文本披露顺序、读者所知和角色所知。
- 分开分析事件推进、读者情绪和篇幅安排，分数不能代替解释。
- 只迁移抽象机制，不复刻专有设定、角色组合、关键事件链、标志性场面或原句。
- 不为填字段虚构事实，不把结果倒推成人物早有计划。
对作者说话
对话回复、快速预览.md、拆文报告.md 和人物关系图按 references/author-facing.md 写，讲清书中情节、阅读感受和可借鉴写法。内部字段、命令与质量指标留在运行资料中；编号带名称。脚本返回 author_message 时转述说明与选项。
运行约定
{PYTHON}：依次试python3、python、py -3，用第一个能运行的。{story-long-analyze skill 根}是本文件所在目录，{拆文目录}是拆文库/{书名}/。- 首次拆一本书时，把作者给的 TXT 存为
{拆文目录}/原文/原文.txt；若编码不是 UTF-8（常见为 GBK），先转成 UTF-8，否则子代理按行号读取时会乱码。 - 全文不足 2 万字或认不出章节标题时多半是短篇，建议作者改用
/story-short-analyze；作者坚持或由导入调用（篇幅已在导入时定好）时照常按长篇拆。
按时刻读
进入各阶段时只加载下表对应的说明，续跑或新会话通过落盘产物和 _progress.md 的阶段状态衔接。references/author-facing.md 每个时刻都按需用。
| 时刻 | 读 | 交接 |
|---|---|---|
| Phase 1–2、Stage 0–1 开头三章 | 本文件 + stage1-golden-chapters.md；原文变了或章号对不上时加 index-rebuild.md | 黄金三章与快速预览落盘，标 stage1 |
| Stage 2 逐批提取 | pipeline-ops.md；子代理不可用、自己写批次时加 stage2-extraction.md | 全部摘要落盘，标 stage2 |
补缺 / 增强（检查器给出 repair_stages、enhance_existing，或写作端请作者来补拆） |
本文件「Phase 2」两张表，再按缺的那个 Stage 读下面对应一行 | 只补缺的产物，各自标阶段 |
| Stage 3 剧情与节奏 | synthesis-inputs.md + stage3-plot-rhythm.md | 节奏与情绪模块落盘，标 stage3 |
| Stage 4 角色与设定 | synthesis-inputs.md + stage4-characters-settings.md | 角色与设定落盘，标 stage4 |
| Stage 5 主报告 | synthesis-inputs.md + stage5-report.md | 报告落盘，标 stage5 |
| Stage 6 文风 | style-profile-generator.md | 文风.md 落盘，标 stage6 |
| 全部拆完 | final-checks.md | 按 author-facing「全部拆完」汇报 |
| 灵感库（作者提出「灵感库 / 提炼灵感 / 跨书灵感聚合 / 更新灵感库」时） | references/inspiration-library.md | 只写 灵感库/，不改拆文产物 |
What ships with it
17 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/author-facing.md 12 KB
- references/final-checks.md 1022 B
- references/index-rebuild.md 3.1 KB
- references/inspiration-library.md 10 KB
- references/pipeline-ops.md 11 KB
- references/stage1-golden-chapters.md 6.7 KB
- references/stage2-extraction.md 11 KB
- references/stage3-plot-rhythm.md 20 KB
- references/stage4-characters-settings.md 6.5 KB
- references/stage5-report.md 2.7 KB
- references/style-profile-generator.md 7.6 KB
- references/synthesis-inputs.md 4.0 KB
- scripts/build_chapter_index.py 20 KB runs code
- scripts/inspect_existing_assets.py 31 KB runs code
- scripts/inspiration_index.py 38 KB runs code
- scripts/manage_analysis_run.py 57 KB runs code
- scripts/render_relation_chart.py 19 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.
- today Changed 037f98431e26
- 8d ago Changed · -37 lines 159f90daf414
- 11d ago Changed 6316c6aa377c
- 12d ago Changed a0d33ddf0531
- 29d ago Changed · -22 lines 52b95dd5361f
- 1mo ago Changed · -167 lines · -23 tokens per session f84fbae84516
- 1mo ago Changed d023b6d0c26d
- 1mo ago Changed d96df880231a
- 1mo 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 (629 stars, last pushed today), licensed MIT. It adds 150 tokens to every session and 3,255 once invoked, about $0.0006 per session on Opus 5.5. 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.
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