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 LiPu-jpg/Openwrite --skill export-bookgit clone --depth 1 https://github.com/LiPu-jpg/OpenwriteWrote 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/lipu-jpg/openwrite/export-book)<a href="https://agentmods.dev/skills/lipu-jpg/openwrite/export-book"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/export-book/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/lipu-jpg/openwrite/export-book"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/export-book.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 | $0.00046 | $0.00236 |
| Opus 5.5 | $0.00018 | $0.00094 |
| Sonnet 5.5 | $0.00009 | $0.00047 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade A, and why
export-book 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 5d 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
Language: follow the author's current conversation language for responses and help; preserve the manuscript language. Translate these instructions when presenting them.
导出
接到已有 novel_*。成稿导出与会话日志下载不是同一条命令。
novel_export_preflight：阅读顺序、结构缺陷、写作目标、评审新鲜度、正文接纳、阻断项与警告。- 向作者说明
backup（可带警告下载）与delivery（门禁阻断则不可交付）。 - 作者确认后
novel_export，原样传入同一format、purpose与preflight_revision。
不要用宿主 /export 下载会话日志来代替成稿。完整项目档案走 novel_project_archive_action。
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.
- 5d ago Changed · +2 lines 0ba8f1391585
- 1mo ago First seen · 15 lines · 46 tokens per session scan A b832e5219679
export-book is a skill published in the GitHub repository LiPu-jpg/Openwrite (835 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 236 once invoked, about $0.0002 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 2026-09-09.
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dsh-cowork
Read and write office documents and Jupyter notebooks (xlsx, pdf, docx, pptx, ipynb) with bounded windows and stable cell/slide addresses.
paddleocr-doc-parsing
Use the native DeepSeek Harness PaddleOCR tool to parse document layout and Markdown.
paddleocr-text-recognition
Use the native DeepSeek Harness PaddleOCR tool to extract text from an image or PDF.