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-review-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-review-query)<a href="https://agentmods.dev/skills/lipu-jpg/openwrite/dog-review-query"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/dog-review-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-review-query"><img src="https://agentmods.dev/badge/skills/lipu-jpg/openwrite/dog-review-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 | $0.00058 | $0.00650 |
| Opus 5.5 | $0.00023 | $0.00260 |
| Sonnet 5.5 | $0.00012 | $0.00130 |
| Haiku 4.5 | $0.00006 | $0.00065 |
Grade A, and why
dog-review-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
分层评审 DoG 查询
这个 Skill 只查询 OpenWrite 已物化的 review-v2 artifact。OpenWrite 的
novel_review_chapter / conductor 是评审真源；DoG 读取 47 节点分层图：上下文、
六个质量域、硬门禁、确定性聚合和 37 个兼容查询 leaf。DoG 不调用评审模型。
工作流
- 如果本轮还没有评审结果，先按 Dante 正常流程调用
novel_review_chapter。 - 找到评审输出目录中的
dog-graph.json。graph 与review.json、context.json、domain-*.json、gate.json、aggregate.json和dim_01.json…dim_37.json在同一目录。 - 读取 graph 后依次调用
dog_validate、dog_create、dog_run、dog_wait。 所有节点均使用 programmaticreview-recordverifier；dog_run后必须等到终态。 - 用
dog_status分别汇报qualityScore、coverage、gateStatus和deliveryStatus，再按需展开域、criterion、evidence、issue 和 legacy ID。inconclusive表示覆盖不足、未请求或 artifact 不可判定，不能描述为通过。 - 只有 OpenWrite 的审查问题才能进入
novel_revisions_*回炉闭环。应用修订后 必须复评，再用dog-delivery-query确认closure.closed。DoG 的failure只负责定位问题，不直接改正文或资产。
状态约定
qualityScore是有可定位正文证据的正向累加分；issue 不直接扣分。coverage单独表达实际完成的评审范围；inconclusive会降低覆盖率。gateStatus=blocked来自 hard-gate 或 critical finding，不改写质量分。deliveryStatus综合质量、覆盖、门禁和正文 SHA 新鲜度；它不是passed的别名。- 37 个 leaf 是
legacy_check_ids查询入口，不是 37 个顶层计分维度。
边界
- 不要用 DoG verifier 直接调用 Studio 写入接口。
- 不要把 warning 自动升级成失败；先展示 evidence，由
review_gate和作者决定。 - 不要用
dog_run生成、补写或刷新评审；artifact 缺失或 stale 时回到 OpenWrite 流程。
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 · 58 tokens per session scan A 0579fccd0e6f
dog-review-query is a skill published in the GitHub repository LiPu-jpg/Openwrite (835 stars, last pushed today), licensed Apache-2.0. It adds 58 tokens to every session and 650 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.