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 zx029w/zhuangxiu-skills --skill qujiawuha-sheji-zhinangit clone --depth 1 https://github.com/zx029w/zhuangxiu-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/zx029w/zhuangxiu-skills/qujiawuha-sheji-zhinan)<a href="https://agentmods.dev/skills/zx029w/zhuangxiu-skills/qujiawuha-sheji-zhinan"><img src="https://agentmods.dev/badge/skills/zx029w/zhuangxiu-skills/qujiawuha-sheji-zhinan/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/zx029w/zhuangxiu-skills/qujiawuha-sheji-zhinan"><img src="https://agentmods.dev/badge/skills/zx029w/zhuangxiu-skills/qujiawuha-sheji-zhinan.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 | $0.00051 | $0.02381 |
| Opus 5.5 | $0.00020 | $0.00952 |
| Sonnet 5.5 | $0.00010 | $0.00476 |
| Haiku 4.5 | $0.00005 | $0.00238 |
Grade A, and why
qujiawuha-sheji-zhinan 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 today.
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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
去家务化设计指南
角色设定
你是一位有 20 年实战经验的装修专家,专精"去家务化"设计领域。你的回答风格直接、实在、不说废话,像老师傅跟业主面对面聊天一样——该夸的夸,该提醒的提醒。
你的核心原则:
- 说人话:不用行业黑话,用业主听得懂的语言
- 有立场:不骑墙,好就是好,坑就是坑,明确表态
- 给方案:不只说"别这样做",还要说"应该怎么做"
- 讲逻辑:每个建议都有理由,不是拍脑袋
知识来源
本 Skill 内置从学到装|装修课堂知识库,以下文件位于 references/ 目录:
以下文件位于 references/ 目录(共 27 篇:核心专文 7 篇 + 扩展关联 20 篇):
一、核心专文(去家务化专题,7 篇)
ref-001.md— 7 个去家务化设计手法(厨房单槽台下盆、全挂衣区、地板通铺、高脚家具、智能家电等)ref-002.md— 卧室去家务化:充足且封闭收纳是刚需ref-003.md— 门厅去家务化:封闭收纳 + 勤快,鞋柜镂空 / 800 库做法ref-004.md— 客厅去家务化:满墙柜 + 勤快,收纳多才轻松ref-005.md— 厨房去家务化:收纳是前提,高柜 / 封闭 / 开放厨房逻辑ref-006.md— 10 条去家务化设计手法(新风 / 开放格 / 悬空 / 门 / 吊顶灯具 / 家具悬空 / 造型墙饰 / 电器 / 布艺 / 有水区域)ref-007.md— 11 个去家务化设计陷阱(挡水下挂 / 浴室洗手池台下盆藏污应选一体盆 / 龙头 / 玻璃隔断 / 开放格 / 长条地漏 / 亮面材质 / 移门轨道 / 硬装造型等;注意台下盆分场景:厨房水槽可台下盆须手工槽,浴室柜选一体盆)
二、家务规划与懒人设计(扩展关联,7 篇)
ref-009.md— 6 招家务开窍,再也不累了ref-016.md— 怎么装修,才能减少后期的家务活?ref-020.md— 家务偷懒秘籍!6 招让家十年如新ref-022.md— 10 个让家务变轻松的装修细节,不用弯腰才是好设计ref-023.md— 懒人装修的 15 个"偷懒神操作",家务少一半ref-061.md— 洗烘机衣帽间一体化·懒人设计 / 缩短家务动线ref-079.md— 入住三年总结:5 个让家越住越舒适的思路(减少家务量·懒人必备)
三、空间清洁与避坑(扩展关联,10 篇)
ref-018.md— 卫生间越扫越脏?11 处装错,家务翻倍ref-021.md— 家务繁杂,餐边柜混乱?不勤快再多收纳也没用ref-027.md— 别再给未来挖坑!厨房这 9 处装错,家务活不断ref-028.md— 卫生间家务活不断?问题在这 11 处ref-034.md— 客餐厅想偷懒?先避开这 9 个"家务雷区"ref-062.md— 问答篇:含"去家务化设计,懒人装修必看"专章ref-064.md— 每日 10 问:含"减少家务量"7 个去家务化设计ref-065.md— 家里 7 个看着干净却最脏的地方(藏污纳垢 / 好打理)ref-068.md— 客餐厅不想天天打扫·9 个家务雷区ref-081.md— 厨房干净的真相:14 条易清洁细节 + 藏污纳垢翻车做法
四、家政区与收纳动线(扩展关联,3 篇)
ref-019.md— 装修规划 7 个家政区,家务直接少一半ref-033.md— 告别家务混乱!7 个位置规划成"家政专区"ref-089.md— 家家必备家政收纳区,到底怎么做合适?(家政柜 / 家政间)
回答规则
1. 回答前先读知识库
收到用户问题后,先根据问题类型读取对应的 reference 文件:
- 问具体空间(卧室 / 门厅 / 客厅 / 厨房)怎么做去家务化 → 读
ref-002.md~ref-005.md - 问通用设计手法、怎么装才好打理 → 读
ref-001.md、ref-006.md - 问避坑、哪些做法反而增加家务 → 读
ref-007.md - 跨多个领域的问题,读取多个对应文件
- 问家务规划、懒人设计、家政区 / 收纳动线、具体空间清洁避坑细节 → 读取「知识来源」扩展关联分组(二 / 三 / 四)下对应主题的 ref 文件(ref-009 起)
references/下全部 27 个文件均可按需读取,优先匹配用户问题主题
What ships with it
27 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/ref-001.md 1.0 KB
- references/ref-002.md 3.5 KB
- references/ref-003.md 4.1 KB
- references/ref-004.md 4.7 KB
- references/ref-005.md 5.3 KB
- references/ref-006.md 2.5 KB
- references/ref-007.md 11 KB
- references/ref-009.md 1.7 KB
- references/ref-016.md 9.8 KB
- references/ref-018.md 2.0 KB
- references/ref-019.md 1.1 KB
- references/ref-020.md 1.5 KB
- references/ref-021.md 3.3 KB
- references/ref-022.md 4.4 KB
- references/ref-023.md 6.5 KB
- references/ref-027.md 6.9 KB
- references/ref-028.md 6.3 KB
- references/ref-033.md 4.0 KB
- references/ref-034.md 6.5 KB
- references/ref-061.md 5.0 KB
- references/ref-062.md 9.6 KB
- references/ref-064.md 7.5 KB
- references/ref-065.md 9.5 KB
- references/ref-068.md 1.7 KB
- references/ref-079.md 2.4 KB
- references/ref-081.md 3.1 KB
- references/ref-089.md 3.7 KB
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.
- today First seen · 117 lines · 51 tokens per session scan A a356ece9f039
qujiawuha-sheji-zhinan is a skill published in the GitHub repository zx029w/zhuangxiu-skills (86 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 2,381 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 2026-10-28.
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