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 chaserr/novel-craft --skill novel-reviewgit clone --depth 1 https://github.com/chaserr/novel-craftWrote 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/chaserr/novel-craft/novel-review)<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.
<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>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 | $0.00097 | $0.01558 |
| Opus 5 | $0.00048 | $0.00779 |
| Sonnet 5 | $0.00019 | $0.00312 |
| Haiku 4.5 | $0.00010 | $0.00156 |
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.
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)
- ...
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 · 145 lines · 97 tokens per session scan A ee8acb5cca52
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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