my-novel

my-novel is a skill for Claude Code, Codex from xiaofeng-928/chinese-longnovel-skill. It costs 39 tokens per session (1,611 once invoked), scanned A, original, MIT.

A workflow for managing long Chinese web novels across planning, writing, continuation, review, and correction tasks. It first locates the correct novel project, then loads only the reference documents and templates needed for the requested task.

In plain words
What is it for?
Use it to locate a novel workspace, write or continue chapters, review drafts, repair text, update summaries or outlines, and follow the project's continuity and consistency process.
Why use it?
It helps keep chapters consistent with the project's outline, established facts, workflow rules, and stored state. It also prevents edits being made to the wrong project or to an ambiguous version of a chapter.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to locate a novel workspace, write or continue chapters, review drafts, repair text, update summaries or outlines, and follow the project's continuity and consistency process.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xiaofeng-928/chinese-longnovel-skill/chinese-longnovel-skill
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 xiaofeng-928/chinese-longnovel-skill --skill chinese-longnovel-skill
Clone the repo
git clone --depth 1 https://github.com/xiaofeng-928/chinese-longnovel-skill

Made for: Claude Code, Codex.

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 my-novel

README.md
[![agentmods](https://agentmods.dev/badge/skills/xiaofeng-928/chinese-longnovel-skill/chinese-longnovel-skill/github.svg)](https://agentmods.dev/skills/xiaofeng-928/chinese-longnovel-skill/chinese-longnovel-skill)
Your own site
<a href="https://agentmods.dev/skills/xiaofeng-928/chinese-longnovel-skill/chinese-longnovel-skill"><img src="https://agentmods.dev/badge/skills/xiaofeng-928/chinese-longnovel-skill/chinese-longnovel-skill/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 my-novel

Your own site · 80×15
<a href="https://agentmods.dev/skills/xiaofeng-928/chinese-longnovel-skill/chinese-longnovel-skill"><img src="https://agentmods.dev/badge/skills/xiaofeng-928/chinese-longnovel-skill/chinese-longnovel-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,611 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 $0.00039 $0.01611
Opus 5.5 $0.00016 $0.00644
Sonnet 5.5 $0.00008 $0.00322
Haiku 4.5 $0.00004 $0.00161

Measured 1mo ago against content hash ce4e52ef550c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

my-novel 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.

The scan reads SKILL.md. This mod also ships 10 executable files (scripts/count_chars.py, scripts/migrate_plan_nodes.py, scripts/refresh_genesis_projection.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MyNovel 长篇网络小说工作流

入口只定义路由、全局不变量和执行边界。references/ 是流程、状态权威关系和领域硬约束的唯一说明层;prompts/ 定义当前任务的输入输出。不得把单一题材、金手指、文风、角色、状态仓库或某一生产阶段的细则追加到入口。

定位与加载

  • 以当前 SKILL.md 的目录为 Skill 根目录,所有资源路径相对此目录解析。
  • 第三方许可见 THIRD_PARTY_NOTICES.md,只在处理来源或许可时读取。
  • 小说工作区依次采用用户指定路径、MYNOVEL_WORKSPACE、当前工作区。优先在其中的 小说/ 定位项目,范文位于项目扫描根的 范文/。
  • 按 references/项目定位.md 定位以 novel-config.md 标识的项目。已知路径直接使用;只有多个候选无法消歧或同章有多个权威正文候选时询问。EPUB 任务定位后直接进入导出路由。
  • 选择下表与任务相关的一行及必要前置。只读取对应模式的章节、提示词和脚本契约,不加载整条生产链。脚本调用和写入所需的 schema、哈希与状态条件仍须满足。

任务路由

任务 参考文档与提示词
rank-scan / 扫榜与开书 references/开书流程.md;prompts/扫榜与开书构思提示词.md
范文入库、范文拆书、原创仿写、文风蒸馏 references/范文与创作依据.md 的对应模式;分析时用 prompts/范文结构与文风分析提示词.md,原创规划再用大纲路由
项目文风确定、融合或修改 references/范文与创作依据.md 的项目编译模式;prompts/项目文风规范提示词.md
文风校准 references/范文与创作依据.md 的校准模式;涉及已发生事实时加 references/长篇上下文与一致性.md
新小说初始化、项目迁移 references/项目定位.md;references/项目结构与迁移.md
总大纲 prompts/大纲生成提示词.md
系统设计/重构 references/系统设计与运营.md;prompts/系统设计提示词.md
系统阶段规划 references/系统设计与运营.md;references/规划窗口与防抢跑.md;prompts/系统阶段规划提示词.md
准备下一窗口、扩窗或锁定预算 references/规划窗口与防抢跑.md;prompts/规划窗口准备提示词.md
分阶段大纲细化 references/规划窗口与防抢跑.md;prompts/分阶段大纲细化提示词.md
整理已有细纲 references/细纲整理流程.md;prompts/分阶段大纲细化提示词.md 的整理模式
黄金三章微操细纲 prompts/黄金三章微操细纲提示词.md
正文生成、续写 references/长篇上下文与一致性.md;references/正文生产与审修.md 的生成流程;references/状态与总结.md;prompts/正文生成提示词.md
手动正文自然化 / 去AI / 去除AI味 上述正文上下文协议;references/正文生产与审修.md 的自然化流程;prompts/正文自然化提示词.md
草稿审查、审查并修复、自动修复或修复确认 references/长篇上下文与一致性.md;references/正文生产与审修.md 的对应模式;正式审修用 prompts/正文审查与修复提示词.md
章节总结、状态更新或会话结束 references/状态与总结.md
一致性检查 references/长篇上下文与一致性.md
EPUB 导出与同步 references/EPUB导出与同步.md

创建目录、归档、事务或配置时,按 references/项目结构与迁移.md 查对应 schema;运行验证或事务脚本时查 references/自动化脚本契约.md,资源不适用时说明原因。

创作与状态边界

  • 正文服从本章正式细纲和已发生事实,不自行新增主线事件、角色、设定、能力或伏笔;归档只修改目标章节或锚点块。
  • 新书先满足 30 天内有效扫榜的开书条件;新规划窗口依次完成系统阶段规划、总纲/manifest扩窗锁定、分阶段细纲。范围与前置验证由对应参考文档规定。
  • 正文生成每次请求最多 5 章,超过时按现有创作协议要求拆分;审查和修复按连续最多 5 章自动分批,完成用户指定范围。50 章仍是大纲、总结和报告的归档单位。
  • 普通写作只完成创作及逐章状态提交,记为 review_pending;该状态不阻断续写,不补审,不得自动读取或调用自然化提示词。生成稿的 source 与 candidate 相同,事实锁、候选验证、总结和独立状态回证按正文流程执行。
  • 待审正文必须保留 (草稿).md;只有两份正式审查通过、候选验证通过且登记 review_passed 才去掉草稿标识。正文哈希变化使旧审查失效。
  • 当前可见稿与 committed 哈希不同时,审查走 working_copy 模式,不推进正式链。用户要求修复已授权 repair 修订及必要的可回滚 shadow rebase;只有真实后文冲突无法裁决时才询问。

Read the full file on GitHub · 57 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. 1mo ago Changed · -46 lines · -86 tokens per session ce4e52ef550c
  2. 1mo ago First seen · 103 lines · 125 tokens per session scan A 09e1303470e1

Subscribe to this mod's changes

my-novel is a skill published in the GitHub repository xiaofeng-928/chinese-longnovel-skill (75 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 1,611 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 2026-08-30.