Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Xiaoyangy/novel-studionpx agentmods add skills/xiaoyangy/novel-studio/novel-reviewWrote 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/xiaoyangy/novel-studio/novel-review)<a href="https://agentmods.dev/skills/xiaoyangy/novel-studio/novel-review"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-review/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/xiaoyangy/novel-studio/novel-review"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00067 | $0.00708 |
| Opus 5 | $0.00034 | $0.00354 |
| Sonnet 5 | $0.00013 | $0.00142 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
novel-review 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 12d 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
novel-review：pipeline review 阶段评审（不改原文）
对一个已有 novel-studio 项目通过 novel-studio --pipeline --stages review 逐章调用 Editor 评审，
输出审阅意见到 reviews/，不改动原文。
Editor 会读取内置 human_feel_craft 作为人工感正向标尺：检查现场异常、物件/痕迹回扣、主观误判、短对话/动作拍、现实支架和可复核因果链，避免只用禁用词和 AI 腔做负向判断。
Editor 也会读取内置 writing_techniques_digest：检查前台故事、目标/阻力/失败代价/新增信息、钩子接力、事件铺垫/过程/余波、过渡章期待铺垫和中文标点功能。
前置条件
- 已完成首次配置（见
skills/README.md）。 - 一个已有项目目录（含
chapters/等产物）。项目根 = 当前工作目录，不能用位置参数 传路径（会被当成多余参数报错），需先cd进项目目录。
执行
# 先进入项目目录，再评审全部章节
cd ./output/novel
novel-studio --pipeline --stages review
# 只评审第 3–8 章
novel-studio --pipeline --stages review --from 3 --to 8
# 调整每章 Editor 的硬时间预算（默认 90s）
novel-studio --pipeline --stages review --budget 5m
参数
| 参数 | 默认 | 说明 |
|---|---|---|
--stages review |
— | 只执行 pipeline 的 review 阶段 |
--from <n> |
0（自动） |
起始章号（含） |
--to <n> |
0（自动） |
结束章号（含） |
--budget <dur> |
90s |
每章 Editor 调用硬时间预算 |
产物
- 审阅意见：项目
reviews/目录 - 不改动
chapters/*.md原文 - 人工感问题会归入审美/节奏/因果建议，修法应具体到补哪个物件、哪处动作、哪条证据链或哪句对话偏差。
- refer 技巧问题会归入结构/节奏/连贯/审美建议，修法优先补章节任务和事件余波，不用句子润色掩盖结构缺口。
后续
拿到评审意见后想据此改写，使用 novel-rewrite（--pipeline --stages rewrite）。
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 51 lines · 67 tokens per session scan A 820f70217aca
novel-review is a skill published in the GitHub repository Xiaoyangy/novel-studio (107 stars, last pushed 3d ago), licensed Apache-2.0. It adds 67 tokens to every session and 708 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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