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.
git clone --depth 1 https://github.com/wordflowlab/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/commands/wordflowlab/novel-writer/plan-enhance)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/plan-enhance"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/plan-enhance/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/commands/wordflowlab/novel-writer/plan-enhance"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/plan-enhance.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 | $0.00000 | $0.00659 |
| Opus 5.5 | $0.00000 | $0.00264 |
| Sonnet 5.5 | $0.00000 | $0.00132 |
| Haiku 4.5 | $0.00000 | $0.00066 |
Grade A, and why
plan-enhance 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 2mo 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.
What it actually says
🆕 可选:动态加载类型知识(genre-knowledge插件)
如果plugins/genre-knowledge/目录存在,你可以动态搜索并应用类型化写作知识。
知识搜索策略
步骤1:识别故事类型
- 从
story.md中提取类型标签(如"玄幻"、"爽文"、"都市重生"等) - 如无明确标签,根据故事内容(金手指、世界观、冲突类型)推断
步骤2:搜索相关知识
使用Glob搜索知识文件(按优先级):
-
通用方法论(所有类型适用):
plugins/genre-knowledge/knowledge/fundamentals/*.md推荐优先阅读:
emotion-value-core-laws.md- 五大商业创作法则scene-mru-structure.md- MRU场景结构(目标-冲突-决定)
-
类型专属知识(根据识别的类型):
plugins/genre-knowledge/knowledge/genres/*{类型关键词}*.md示例:
- 爽文类型:搜索
*shuangwen*.md - 玄幻类型:搜索
*xuanhuan*.md - 都市类型:搜索
*urban*.md
- 爽文类型:搜索
步骤3:知识应用原则
- 🎯 优先级:
类型专属知识 > 通用方法论 > 通用规范 - 📖 选择性应用:快速浏览文件,提取与当前章节规划相关的知识点
- ⚠️ 不要全盘照搬:知识文件是参考,需结合具体故事情况灵活应用
- 🔍 按需搜索:不要一次性加载所有知识,只在需要时搜索相关内容
应用示例
场景:规划一部"都市重生爽文"的开篇3章
搜索知识:
Glob: plugins/genre-knowledge/knowledge/fundamentals/emotion-value-core-laws.md
Glob: plugins/genre-knowledge/knowledge/genres/shuangwen-golden-opening.md
提取要点:
- 从五大法则中应用"极限铺垫原则"(开篇构建困境)
- 从黄金开篇中应用"动态场景切入"和"核心冲突前置"
规划应用:
- 第1章:动态场景切入重生瞬间,立刻展现主角困境
- 第2章:简要揭示重生金手指(核心信息差)
- 第3章:完成第一个小逆袭(打脸爽点)
注意事项
- ⚠️ 知识文件基于商业网文创作经验,不适合所有类型
- ⚠️ 不要让知识约束创意,保持故事的独特性
- ⚠️ 如果故事不属于商业类型文,可以跳过此部分
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.
- 2mo ago First seen · 63 lines · 0 tokens per session scan A 752a2326c8ee
plan-enhance is a command published in the GitHub repository wordflowlab/novel-writer (957 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 659 tokens. 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.
plan-enhance compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| plan-enhancewordflowlab/novel-writer | Command | 957 | 1y ago | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |