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 dog-delivery-querygit 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/dog-delivery-query)<a href="https://agentmods.dev/skills/lipu-jpg/openwrite/dog-delivery-query"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/dog-delivery-query/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/dog-delivery-query"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/dog-delivery-query.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 | $0.00051 | $0.00533 |
| Opus 5.5 | $0.00020 | $0.00213 |
| Sonnet 5.5 | $0.00010 | $0.00107 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
dog-delivery-query 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
章节交付 DoG 查询
章节写作、评审和修订工具会生成：
data/novels/{id}/data/dog/deliveries/{chapter}/dog-graph.json
这张图查询六个阶段：writing → review → revision → application → rereview → closure。
它不替代 OpenWrite 的写章、六域累加评审或修订服务。
查询流程
- 从最近一次
novel_write_chapter、novel_review_chapter、novel_revision_*或novel_task_get结果的dog_delivery.graphPath找到图；conductor 输出使用dog_delivery_graph_path。 - 依次调用
dog_validate、dog_create、dog_run、dog_wait，等待终态。 - 用
dog_status读取review、revision和closureevidence，再决定领域动作。 - 修订应用后必须重新调用
novel_review_chapter；只有复评对应当前正文 SHA 且门禁通过，closure才能成为closed。
状态解释
review.missing：正文存在但尚未评审。closure.review_failed：当前正文已评审但未通过门禁，进入修订闭环。revision.proposal_pending：提案已生成，等待作者确认应用或驳回。revision.applied_requires_rereview：修订已写入正文，但不能视为问题已解决。closure.rereview_required：必须对修订后的正文重新跑六域评审。closure.closed：当前正文的最新评审通过，可以交付。
约束
- DoG 只查询 canonical manuscript/review/revision 文件，不直接修改它们。
- 不因提案状态为
applied就宣称问题关闭；必须以当前正文 SHA 对应的复评为准。 needs_human是等待评审、确认或复评，不得描述成成功。- 应用或驳回修订仍遵守 Dante 的用户确认边界。
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 · 40 lines · 51 tokens per session scan A abbebc85257b
dog-delivery-query is a skill published in the GitHub repository LiPu-jpg/Openwrite (835 stars, last pushed today), licensed Apache-2.0. It adds 51 tokens to every session and 533 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 2026-09-06.
Other skills, from other repositories
webnovel-init
A guided setup process for a web-novel project that collects creative requirements and creates the project’s initial structure and rules.
webnovel-write
A workflow for producing publishable web-novel chapters, from understanding the context through drafting, review, polishing, submission, and backup.
webnovel-plan
A planning tool for turning a web-novel outline into volume plans, timelines, and chapter outlines. It also writes new story settings back into the existing setting collection.
webnovel-review
A review agent for assessing the quality of fiction chapters. It produces a review report and writes review measurements back to the project.
webnovel-query
A Chinese-language skill for querying a web novel project's setting and story information, including characters, power systems, factions, and foreshadowing.
webnovel-learn
A project skill for learning from a web novel-writing project through the `/webnovel-learn` command. The provided details do not explain what learning tasks or outputs it performs.