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 hanmirage/deepdepcat --skill long-documentgit clone --depth 1 https://github.com/hanmirage/deepdepcatWrote 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/hanmirage/deepdepcat/long-document)<a href="https://agentmods.dev/skills/hanmirage/deepdepcat/long-document"><img src="https://agentmods.dev/badge/skills/hanmirage/deepdepcat/long-document/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/hanmirage/deepdepcat/long-document"><img src="https://agentmods.dev/badge/skills/hanmirage/deepdepcat/long-document.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 | $0.00065 | $0.00495 |
| Opus 5.5 | $0.00026 | $0.00198 |
| Sonnet 5.5 | $0.00013 | $0.00099 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
long-document 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 1mo 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
长文档分段写作模板
流程(三段式,缺一不可)
- 先大纲:用
todo_write建立章节清单(标题 + 每章要点 + 预期来源);先给用户/自己确认结构,再动笔。 - 分章写:一次只写一章(≤800 字/章),每章结束用
docx_edit或累计docx_generate追加;不要在一条回复里写完整个文档。 - 汇总校验:全部章节完成后,用
doc_consistency跑跨章一致性校验(跨章重复段落/结构完整性/章节编号连续性),按报告修问题;引用用citation_link校验(0 断链);全部通过后再导出成品(docx/pdf)。
写作规则
- 每章开头一句「本章目的」,结尾一句「小结」;
- 数据与引用标注来源(资料夹条目/URL/访问日期);无法查证的写「未证实」;
- 章节间逻辑递进,禁止复制粘贴前文;
- 标题层级统一(一级/二级/三级),编号不跳号。
导出
- 长文 →
docx_generate(可用template=复用样式); - 样张/排版预览 →
pdf_generate; - 内容修正 →
docx_edit(保留修订模式可用)。
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.
- 1mo ago First seen · 29 lines · 65 tokens per session scan A 95a8effade2b
long-document is a skill published in the GitHub repository hanmirage/deepdepcat (10 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 65 tokens to every session and 495 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
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Manipulate PDF files — merge, split, extract pages/text, PDF↔images, OCR, info — via the qpdf / poppler / ocrmypdf CLIs. Use to combine, slice, convert, or OCR PDFs.
xlsx
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lark-base
A guide for managing Lark Base, Feishu's spreadsheet-like database and workspace tool. It covers tables, fields, records, views, formulas, forms, dashboards, applications, workflows, and permissions.