novel-review

novel-review is a skill for Claude Code from chaserr/novel-craft. It costs 97 tokens per session (1,558 once invoked), scanned A, original, MIT.

A review coordinator for long novels. It breaks a manuscript review into focused checks by specialist roles, combines their reports, and stores the results in a review directory.

In plain words
What is it for?
Use it to review a chapter, range of chapters, or full-book summary for structure, logic, pacing, plot threads, prose, dialogue, scenes, reader response, and factual background when relevant.
Why use it?
It removes the need to decide manually which kind of review is needed and keeps findings from separate checks together.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Part of the novel-craft plugin — 6 skills, 12 agents shipped together

Good fit Use it to review a chapter, range of chapters, or full-book summary for structure, logic, pacing, plot threads, prose, dialogue, scenes, reader response, and factual background when relevant.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chaserr/novel-craft/novel-review
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 chaserr/novel-craft --skill novel-review
Clone the repo
git clone --depth 1 https://github.com/chaserr/novel-craft

Made for: Claude Code.

Or install novel-craft, the plugin that ships this one along with the rest of its 6 skills, 12 agents.

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 novel-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/chaserr/novel-craft/novel-review/github.svg)](https://agentmods.dev/skills/chaserr/novel-craft/novel-review)
Your own site
<a href="https://agentmods.dev/skills/chaserr/novel-craft/novel-review"><img src="https://agentmods.dev/badge/skills/chaserr/novel-craft/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.

agentmods 80×15 button for novel-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/chaserr/novel-craft/novel-review"><img src="https://agentmods.dev/badge/skills/chaserr/novel-craft/novel-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,558 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 $0.00097 $0.01558
Opus 5 $0.00048 $0.00779
Sonnet 5 $0.00019 $0.00312
Haiku 4.5 $0.00010 $0.00156

Measured 12d ago against content hash ee8acb5cca52, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

skills/novel-review/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

novel-review

用途:长篇小说审稿的总调度器。把"审稿"这件事拆给合适的 novel-* agent 去做,最后汇总并归档。

输入要求

  • 审查范围(必须):单章 / 章节区间 / 全书摘要
  • 审查类型(可推断 / 可显式指定):
    • 全维度(默认):所有相关 agent 走一遍
    • 结构向:novel-architect + novel-pacer + novel-plotter
    • 文字向:novel-polisher + novel-dialogist + novel-scene-refiner
    • 逻辑向:novel-auditor + novel-plotter + novel-researcher
    • 读者向:novel-reader
    • 元层:novel-curator(≥3 章已审后才有意义)

执行流程

第 1 步:上下文加载

读取:

  • RTK.md(题材气质 + 文风底线 + 红线)
  • 用户指定范围的章节正文
  • 小说大纲.md / 章节大纲.md(结构参考)
  • 前情梳理.md / 伏笔清单.md(线索参考)
  • 人物档案/*.md(一致性核查参考)
  • 审稿报告/审稿进度与问题台账.md(如存在,了解历史问题,避免重复指出)

如缺 RTK.md,拒绝执行并提示先 novel-init

第 2 步:确认审查计划

向用户输出:

【审稿计划】
范围:第X章 - 第Y章(约 N 万字)
类型:全维度审查
将召唤以下角色(并行):
- novel-architect    → 结构/大纲层面问题
- novel-auditor      → 逻辑/设定/时间线
- novel-pacer        → 节奏曲线、爽点密度
- novel-plotter      → 伏笔、支线、情感账单
- novel-polisher     → 风格、文笔、陈词滥调
- novel-dialogist    → 对话辨识度(仅当对话密度 >30% 时)
- novel-scene-refiner→ 场景描写(仅当章节有大段场景)
- novel-reader       → 目标读者主观反馈
- novel-researcher   → 背景真实性(仅当涉及真实学校/年代/地域/专业领域)

预计:每角色独立报告 + 一份汇总。

是否开始?(可调整角色清单)

用户确认或调整后进入下一步。

第 3 步:并行调度 agent

并行调用所选 agent,每个 agent 拿到的输入:

  • 章节范围与正文
  • RTK.md(题材气质)
  • 前情梳理.md / 伏笔清单.md(如该 agent 需要)
  • 人物档案/*.md(如该 agent 需要)
  • 用户的特殊审查诉求(如有)
  • 历轮审稿沉淀(避免重复指出已知问题)

每个 agent 按其自身规定的输出格式独立产出报告。

第 4 步:汇总到《本批审稿报告》

收齐所有 agent 报告后,生成一份汇总报告 审稿报告/审稿-第NN批-第X-Y章.md,包含:

# 审稿报告 第NN批|第X章 - 第Y章

## 一、总体判断
[3-5 句话:完成度 / 优势 / 最大风险]

## 二、各角色发现汇总
### 结构层(novel-architect)
[关键发现 + 严重级]
### 逻辑层(novel-auditor)
[关键发现]
### 节奏层(novel-pacer)
[关键发现]
### 多线/伏笔(novel-plotter)
[关键发现]
### 文字层(novel-polisher / dialogist / scene-refiner)
[关键发现]
### 读者反馈(novel-reader)
[评分 + 关键反应]
### 背景核查(novel-researcher,如有)
[关键发现]

## 三、问题严重度矩阵
| 编号 | 类型 | 严重级 | 来源角色 | 建议处理角色 |
|------|------|--------|---------|-------------|
| ...  | ...  | 致命/重大/一般 | ... | ... |

## 四、优先修改清单(按重要度排序,前 5 项)
1. ...
2. ...

## 五、值得肯定的部分
[正向反馈,避免只输出问题]

## 六、需用户裁决的争议建议
[不同 agent 给出冲突建议时的并列呈现]

## 七、跨章 / 全书级线索(仅做提示,不在本批解决)
- ...

Read the full file on GitHub · 145 lines

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. 12d ago First seen · 145 lines · 97 tokens per session scan A ee8acb5cca52

Subscribe to this mod's changes

novel-review is a skill published in the GitHub repository chaserr/novel-craft (3 stars, last pushed 4d ago), licensed MIT. It adds 97 tokens to every session and 1,558 once invoked, about $0.0005 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 2026-08-31.

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