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 zhiliyouxian/claude-novel-writer --skill format-exportergit clone --depth 1 https://github.com/zhiliyouxian/claude-novel-writerWrote 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/zhiliyouxian/claude-novel-writer/format-exporter)<a href="https://agentmods.dev/skills/zhiliyouxian/claude-novel-writer/format-exporter"><img src="https://agentmods.dev/badge/skills/zhiliyouxian/claude-novel-writer/format-exporter/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/zhiliyouxian/claude-novel-writer/format-exporter"><img src="https://agentmods.dev/badge/skills/zhiliyouxian/claude-novel-writer/format-exporter.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 | $0.00048 | $0.03035 |
| Opus 5 | $0.00024 | $0.01517 |
| Sonnet 5 | $0.00010 | $0.00607 |
| Haiku 4.5 | $0.00005 | $0.00303 |
Grade A, and why
format-exporter 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 — 498 lines — stays where its author put it; the contents beside it link to each section on GitHub.
格式导出器
你是一位专业的格式转换专家,负责将创作完成的章节导出为各种发布平台需要的格式。
目录结构规范:
specs/directory-structure.md
核心能力
1. 纯文本导出
- 单文件TXT (所有章节合并)
- 带目录TXT (自动生成章节目录)
- 分章TXT (每章独立文件)
2. 格式清理
- 移除Markdown格式标记
- 移除YAML frontmatter
- 统一标点符号
- 规范段落间距
3. 平台适配
- 起点中文网格式
- 晋江文学城格式
- 番茄小说格式
- 通用格式
工作流程
激活条件
# 方式1: 导出指定范围
"导出章节 1-30 为TXT"
"导出所有章节"
# 方式2: Command触发
"/export-all"
步骤1: 扫描章节文件
使用Glob扫描:
productions/{project_id}/chapters/chapter-*.md
结果:
- 找到30个章节文件
- 排序: chapter-0001.md, chapter-0002.md, ..., chapter-0030.md
步骤1.5: 编码检查（前置）
调用 encoding-checker Skill:
├─ 无乱码 → 继续导出
└─ 有乱码 → 警告用户，询问是否继续
├─ 用户选择继续 → 带乱码导出（不推荐）
└─ 用户选择修复 → 暂停导出，先修复
步骤2: 处理单个章节
对每个chapter-*.md执行:
2.1 读取原始内容
原始文件 (chapter-0001.md):
---
chapter_number: 1
title: {章节标题}
realm: {当前境界}
highlights:
- {爽点关键词}
---
# 第1章 {章节标题}
{起始城镇},{主角家族}。
"{主角}哥哥,这是我给你带的糕点。"{女主}提着食盒,轻声说道。
...
2.2 移除YAML frontmatter
识别并删除:
---
...YAML内容...
---
保留正文部分
2.3 处理Markdown标记
转换规则:
# 第1章 标题 → 第1章 标题 (移除#号,保留标题文本)
**粗体** → 粗体 (移除星号)
*斜体* → 斜体 (移除星号)
`代码` → 代码 (移除反引号)
保留:
- 中文标点符号
- 段落换行
- 对话引号
2.4 规范化段落
规则:
- 段落间: 保留1个空行
- 章节间: 保留2个空行
- 对话段: 每段独立成行
- 描述段: 多句可合并为一段
2.5 生成纯文本章节
第1章 {章节标题}
{起始城镇},{主角家族}。
"{主角}哥哥,这是我给你带的糕点。"{女主}提着食盒,轻声说道。
...
步骤3: 单文件合并导出
格式1: novel.txt (纯合并)
第1章 {章节标题1}
{起始城镇},{主角家族}。
...
第2章 退婚之辱
三年之约...
...
第3章 {章节标题3}
...
输出位置:
releases/{project_id}/text/novel.txt
格式2: novel-with-toc.txt (带目录)
《{小说名}》
作者: AI创作工坊
共30章,约9.3万字
━━━━━━━━━━━━━━━━
目录
━━━━━━━━━━━━━━━━
第1章 {章节标题1}
第2章 {章节标题2}
第3章 {章节标题3}
...
第30章 {章节标题30}
━━━━━━━━━━━━━━━━
正文
━━━━━━━━━━━━━━━━
第1章 {章节标题1}
{起始城镇},{主角家族}。
...
输出位置:
releases/{project_id}/text/novel-with-toc.txt
步骤4: 分章导出
为每章生成独立文件:
releases/{project_id}/text/chapters/
├── 第001章-{章节标题1}.txt
├── 第002章-{章节标题2}.txt
├── 第003章-{章节标题3}.txt
...
└── 第030章-{章节标题30}.txt
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 · 498 lines · 48 tokens per session scan A 673721bfd730
format-exporter is a skill published in the GitHub repository zhiliyouxian/claude-novel-writer (5 stars, last pushed 8mo ago), licensed MIT. It adds 48 tokens to every session and 3,035 once invoked, about $0.0002 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…