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/luyao-detail)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/luyao-detail"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/luyao-detail/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/luyao-detail"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/luyao-detail.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 | $0.02263 |
| Opus 5 | $0.00000 | $0.01131 |
| Sonnet 5 | $0.00000 | $0.00453 |
| Haiku 4.5 | $0.00000 | $0.00226 |
Grade A, and why
luyao-detail 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 — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
生成真实的生活细节描写
为路遥风格作品提供富有泥土气息的生活细节描写。
使用方法
/luyao-detail <类型> [场景描述]
细节类型
劳动场景
farming- 农事活动harvest- 收割场景construction- 建筑劳动mining- 矿井作业factory- 工厂生产
日常生活
cooking- 饮食烹饪market- 赶集贸易home- 家庭起居festival- 节日习俗wedding- 婚丧嫁娶
环境描写
village- 乡村景观plateau- 黄土高原weather- 天气变化season- 四季更替town- 城镇风貌
物品器具
tools- 劳动工具furniture- 家具用品clothing- 服饰穿着food- 食物饮品transport- 交通工具
示例输出
农事活动细节
用户：/luyao-detail farming 春天播种
AI：
【春播细节描写】
时间：清明过后，谷雨前后
准备工作：
天不亮，田福堂就起来了。他先到窑洞里看了看放在炕头上的玉米种子，这是昨晚用温水泡过的，现在已经有些发胀了。他用手捏起几粒，看着那白白的小芽点，心里踏实了许多。
他把种子装进一个灰布口袋，又从墙角拿起那把磨得光亮的锄头。锄把是枣木的，是他爹传下来的，用了三十多年，把手的地方被摩娑得像镜子一样。
下地前，他婆姨给他装了一壶开水，里面泡了几片薄荷叶子，还在手巾里包了几个玉米面馒头。
播种过程：
地是提前翻好的，土块打得很细。早晨的露水还没干，踩上去软软的，但不粘脚。
福堂先用锄头在地里划出一道道浅沟，间距是用脚步量的，两脚半一沟，不宽不窄。每隔一尺半，他就用锄头挖一个小坑，深度正好一寸。
放种子的时候要特别小心。一个坑里放三到四粒，不能多也不能少。多了浪费种子，长出来也挤，少了出苗不齐，影响收成。
种子放好后，用锄头轻轻把土盖上，再用脚跞踩实。踩的时候不能太用力，太实了种子出不来，太松了又容易被风吹干。
环境氛围：
太阳刚从东山梁上升起来，金黄色的光线洒在地里，把每一个土块都照得明晰。远处的山坡上，可以看到别的人家也在播种，小小的人影在地里移动。
空气里有一种特殊的味道，是新翻的土壤的味道，湿润、清新，还带着一点草根的香气。偶尔有几声鸟叫，是喜鹊，在地头的枣树上跳来跳去。
细节刻画：
1. 手上的老茧：福堂的手上有几个厚厚的老茧，那是多年握锄把磨出来的。老茧发黄发硬，像铜钱一样。
2. 种子的选择：每放一粒种子，他都会用手指捏一捏，把瘕的、小的挑出来，只留下饱满的。
3. 土壤的状态：土是黄土，但不是那种干巴巴的黄，而是带着油性的，一捏就能团成团，一搓就能散开。
4. 汗水的描写：太阳升高后，福堂的额头上开始渗汗。汗珠一粒粒冒出来，沿着鼻梁流下去，滴在土里，很快就被吸干了。
5. 歇息时刻：播完一垒地，他直起腰，两手搉在锄把上，看着身后那一溜溜整齐的土包，心里有一种说不出的满足感。他拿起水壶，咕咚咕咚喝了几口，凉水一下子就把内心的燥热浇灭了。
注意事项：
- 不能在雨天播种，土太湿会把种子沤烂
- 不能在大风天播种，风会把土吹干
- 要看老黄历，选吉日下种
- 播完后要在地头插个稻草人，防鸟雀唆种子
[继续1000字的细节描写...]
饮食烹饪细节
用户：/luyao-detail cooking 农家早饭
AI：
【农家早饭细节】
时间：早晨5点半
地点：窑洞灶房
生火：
天还没大亮，兰花就起来了。她先到灶前，用火钛把昨晚埋在灰里的火种找出来。那是一块烧红的煤块，现在还有些余温。
她先放上几根玉米秆，再加些碎柴，用嘴轻轻一吹，火苗啦啦地窜起来了。浓烟从灶膛里冒出来，呛得她直咳嗽。
熬粥：
锅是生铁锅，用了十几年，锅底都磨薄了。兰花先刀了半瓢水，等水开了，把昨晚泡好的小米慢慢撒进去。
撒米的时候要特别小心，一边撒一边用勺子搅，不然就会结疙瘩。粥要熬得稠，但又不能太稠，太稠了不经饿。
煮到一半，她往里面扔了一把切碎的干萝卜缨，再加一点盐。萝卜缨是去年秋天晒的，虽然干巴巴的，但煮在粥里还有一股甜味。
蒸馒头：
粥熬着的工夫，兰花开始蒸馒头。馒头是昨晚就和好面蒸的，现在只需要热一热。
她在锅里放了一个竹笼子，把馒头一个个摆在上面，盖上锅盖。水汽从锅盖边缘冒出来，整个灶房里都弥漫着馒头的香味。
配菜：
早饭的菜很简单。一碟咸菜，是入冬时腔的酸白菜，现在已经发黄了，但还能吃。另外还有几根葱，是从窑洞外的地里拔的，洗干净后沾着酱吃。
[继续详细描写...]
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 · 183 lines · 0 tokens per session scan A 233b1a045828
luyao-detail is a command published in the GitHub repository wordflowlab/novel-writer (944 stars, last pushed 10mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,263 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.