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 wordflowlab/novel-writer-skills --skill workflow-guidegit clone --depth 1 https://github.com/wordflowlab/novel-writer-skillsWrote 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/wordflowlab/novel-writer-skills/workflow-guide)<a href="https://agentmods.dev/skills/wordflowlab/novel-writer-skills/workflow-guide"><img src="https://agentmods.dev/badge/skills/wordflowlab/novel-writer-skills/workflow-guide/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/wordflowlab/novel-writer-skills/workflow-guide"><img src="https://agentmods.dev/badge/skills/wordflowlab/novel-writer-skills/workflow-guide.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 | $0.00036 | $0.03098 |
| Opus 5 | $0.00018 | $0.01549 |
| Sonnet 5 | $0.00007 | $0.00620 |
| Haiku 4.5 | $0.00004 | $0.00310 |
Grade A, and why
novel-writer-workflow-guide 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 11d 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 — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Novel Writer 系统化创作工作流
当用户说"我想写小说"
立即激活此工作流指南。
七步方法论概览
1. /constitution → 建立创作原则
2. /specify → 定义故事规格
3. /clarify → 澄清模糊点
4. /plan → 制定创作计划
5. /tasks → 分解执行任务
6. /write → AI 辅助写作
7. /analyze → 质量验证分析
详细步骤指导
步骤 1:建立创作原则
"让我们从使用
/constitution定义你的创作原则开始。这建立了你的核心价值观、质量标准和这个故事的不可协商规则。"
为什么这很重要:作为你的"创作宪法" - 决策会参考这些原则。
包含什么:
- 核心价值观(传递什么理念)
- 质量底线(绝对不妥协的)
- 风格原则(语言、节奏、氛围)
- 内容原则(角色、情节、世界观规范)
典型时长:15-20 分钟
步骤 2:定义故事规格
"现在使用
/specify创建类似产品规格的故事文档。像产品经理一样思考:这个故事是什么,为谁写的,什么使它独特?"
要包含什么:
- 一句话概括
- 目标读者
- 核心冲突
- 主要角色
- 成功标准
为什么这很重要:
- 明确"为谁写"和"写什么"
- 设定可衡量的成功标准
- 为后续创作提供明确目标
典型时长:30-45 分钟
特殊标记:
[需要澄清]- 标记需要进一步明确的点[核心需求]- 不可妥协的需求[可选特性]- 锦上添花的内容
步骤 3:澄清关键决策
"运行
/clarify通过 5 个精准问题解决任何不清楚的方面。AI 会识别你的规格中的模糊点,帮助你做出清晰的决定。"
为什么这很重要:规划中的模糊 = 写作中的混乱。
过程:
- AI 识别规格中的模糊点
- 生成最多 5 个关键问题
- 交互式回答,答案直接更新规格
- 保留决策历史以便回溯
典型问题:
- "主角的核心动机是复仇还是正义?"
- "故事节奏是快速爽文还是慢热精品?"
- "结局是大团圆还是留有遗憾?"
典型时长:10-15 分钟
步骤 4:制定创作计划
"使用
/plan创建章节结构和技术方法。这是你决定如何实现你的规格的地方。"
要设计什么:
- 章节分解与活跃情节线
- 节奏和张力分布
- 伏笔计划
- 角色弧线映射
为什么这很重要:
- 把抽象需求变成具体方案
- 选择合适的写作方法和结构
- 设计情节、人物、世界观的具体实现
技术决策示例:
- "使用七点结构增强悬念"
- "采用多线叙事展现复杂性"
- "通过限定视角增加神秘感"
典型时长:45-60 分钟
步骤 5:分解执行任务
"执行
/tasks生成带优先级、依赖关系和估算工作量的可操作任务列表。"
任务类型:
- 章节写作任务
- 角色档案完善
- 世界观设定补充
- 修订和润色任务
任务标记:
[P]- 可并行执行[依赖:X]- 依赖任务 X 完成[高优]- 高优先级任务
为什么这很重要:
- 大目标变成小步骤,降低创作难度
- 明确优先级和依赖关系
- 支持并行创作提高效率
典型时长:20-30 分钟
步骤 6:开始写作
"现在
/write逐章使用 AI 辅助。规格和计划指导每一章,确保一致性。"
写作时:
- 类型知识 skills 自动激活
- 一致性检查器在后台运行
- 节奏监控在检测到问题时提醒
执行原则:
- 严格遵循 constitution 的原则
- 参考 plan 中的技术方案
- 完成 tasks 中的具体任务
- 保持与规格的一致性
推荐节奏:
- 每次写作会话 1-2 章
- 每 3-5 章停下来回顾
- 保持前进动力,不要过度编辑
步骤 7:质量检查
"每 5 章运行
/analyze保持质量并及早发现问题。"
两种分析模式:
- 框架分析(写作前):验证规划
- 内容分析(写作后):验证执行
验证维度:
- 宪法合规性(是否违背核心原则)
- 规格满足度(是否实现了需求)
- 内容一致性(情节、时间、人物)
- 质量标准(是否达到设定标准)
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.
- 11d ago First seen · 382 lines · 36 tokens per session scan A 317033ca8cb4
novel-writer-workflow-guide is a skill published in the GitHub repository wordflowlab/novel-writer-skills (258 stars, last pushed 10mo ago), licensed MIT. It adds 36 tokens to every session and 3,098 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 2026-08-30.
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…
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…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…