dog-import-query

dog-import-query is a skill for Claude Code, Codex from LiPu-jpg/Openwrite. It costs 40 tokens per session (404 once invoked), scanned A, original, Apache-2.0.

A query tool for the DoG graph created when a novel is imported and split into chapters. It shows whether the import is complete and which setup tasks are still pending.

In plain words
What is it for?
Use it to inspect import completeness, automated precheck errors, and pending outline, asset, or canonical setup.
Why use it?
Splitting a novel into chapters can leave errors or unfinished preparation hidden across many records. This query brings import problems and remaining setup work into view.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect import completeness, automated precheck errors, and pending outline, asset, or canonical setup.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lipu-jpg/openwrite/dog-import-query
Install

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.

Any agent
npx skills add LiPu-jpg/Openwrite --skill dog-import-query
Clone the repo
git clone --depth 1 https://github.com/LiPu-jpg/Openwrite

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for dog-import-query

README.md
[![agentmods](https://agentmods.dev/badge/skills/lipu-jpg/openwrite/dog-import-query/github.svg)](https://agentmods.dev/skills/lipu-jpg/openwrite/dog-import-query)
Your own site
<a href="https://agentmods.dev/skills/lipu-jpg/openwrite/dog-import-query"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/dog-import-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.

agentmods 80×15 button for dog-import-query

Your own site · 80×15
<a href="https://agentmods.dev/skills/lipu-jpg/openwrite/dog-import-query"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/dog-import-query.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 404 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00404
Opus 5.5 $0.00016 $0.00162
Sonnet 5.5 $0.00008 $0.00081
Haiku 4.5 $0.00004 $0.00040

Measured 1mo ago against content hash 4aff32ada746, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dog-import-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.

presets/dante/skills/dog-import-query/SKILL.md · 27 lines

What it actually says

拆书导入 DoG 验收

conductor/smart_import.py 完成导入后会生成 dog-graph.json。这张图只验收导入 结果,不负责写入章节、资产或大纲。

工作流

  1. 从导入输出中找到 data/novels/{id}/data/dog/imports/{IMPORT_ID}/dog-graph.json。
  2. 依次调用 dog_validate、dog_create、dog_run、dog_wait,直到终态。
  3. 用 dog_status 查看 manifest 和每个 chapter-ch_* 节点的 evidence。
  4. 根节点通过后,读取 manifest 的 construction.nextActions,再调用 Goethe 的规划和资产工具建立大纲、角色、世界观、进度和正典事件。
  5. 资产/大纲建立完成后重新运行 novel_review_chapter,再用 dog-review-query 查询六域评审和 37 个 legacy leaf。

约束

  • DoG 失败只说明导入文件缺失、为空或 manifest 不一致;不要直接修改正文。
  • status=partial|failed 表示导入中途出错;先读取 manifest 的 error 和已完成的章节,再修复或重试导入。
  • aiCheck.status=failed 要如实报告,不能当成“无问题”。
  • construction 中的 pending 是后续建模待办,不是导入失败。
  • 不要让 DoG verifier 再调用 Studio 导入接口或重新读取原始整本小说。
Changes

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.

  1. 1mo ago First seen · 27 lines · 40 tokens per session scan A 4aff32ada746

Subscribe to this mod's changes

dog-import-query is a skill published in the GitHub repository LiPu-jpg/Openwrite (827 stars, last pushed yesterday), licensed Apache-2.0. It adds 40 tokens to every session and 404 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.