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 maifang-goufang-bikeng-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/maifang-goufang-bikeng-zhinan)<a href="https://agentmods.dev/skills/zx029w/zhuangxiu-skills/maifang-goufang-bikeng-zhinan"><img src="https://agentmods.dev/badge/skills/zx029w/zhuangxiu-skills/maifang-goufang-bikeng-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/maifang-goufang-bikeng-zhinan"><img src="https://agentmods.dev/badge/skills/zx029w/zhuangxiu-skills/maifang-goufang-bikeng-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 | $0.00127 | $0.01744 |
| Opus 5.5 | $0.00051 | $0.00698 |
| Sonnet 5.5 | $0.00025 | $0.00349 |
| Haiku 4.5 | $0.00013 | $0.00174 |
Grade A, and why
maifang-goufang-bikeng-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 28d 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
买房购房避坑指南
买房是普通人一辈子最大的单笔支出,坑比装修还多。本 Skill 把西安装修课堂知识库里买房购房专题的精华按倒序(最新在前)整理,覆盖高层与老破小取舍、户型楼层朝向、看房验房、中介开发商、贷款税费、收房交付、老破小改造评估等全链路避坑。
核心原则(先记住这 5 条)
- 先想清楚为什么买:自住、学区、投资目的不同,选房逻辑完全不同。
- 高层和老破小各有账:得房率、持有成本、拆迁潜力、救援难度要算明白。
- 户型大于装修:南北通透、动静分区、采光通风,比样板间漂亮话术实在。
- 看房要白天晚上各一次:噪音、采光、邻里、周边特殊设施只有分时段才看得出。
- 贷款税费提前算:月供、契税、维修基金、中介费,别签了才发现有缺口。
分主题速查
- 高层与老破小取舍:ref-001(高层住宅PK老破小)、ref-003(从33楼到老破小的换房抉择)、ref-006(住了10年老破小的真实感受)、ref-007(老破小装修避坑指南)、ref-008(45㎡老破小顶楼蜕变)、ref-015(50㎡老破小改造案例)
- 户型与朝向:ref-002(买房问答:买房哪些户型是"刺客"千万别碰?)
- 中介与开发商:ref-005(买房问答:开发商的插座底盒有问题,水电阶段没换怎么办?)
- 改造前评估:ref-004(买房问答:壁挂洗衣机安装要注意什么墙体?)
- 其他:ref-009(买房避坑总结)、ref-010(买房问答:买房选地段有什么聪明策略?)、ref-011(买房问答:买房选名校旁要注意什么?)、ref-012(买房问答:买房铁律"7字真言"是什么?)、ref-013(买房问答:7类"垃圾房"千万别碰的是哪些?)、ref-014(买房问答:买房终极避坑公式是什么?)、ref-016(买房问答:买房哪些位置最好不要碰?)、ref-017(买房问答:精装修房装定制柜子,墙面不平缝隙大怎么办?)、ref-018(买房问答:买房靠近高速高架有什么坑?)、ref-019(买房问答:买房靠近殡仪馆墓地有什么问题?)、ref-020(买房问答:买房选富人区边缘有什么好处?)、ref-021(买房问答:买房选稀缺自然资源有哪些坑?)、等
使用方法
用户问相关空间装修问题(无论是否已开工),先按上面主题定位参考文件,再结合具体户型/预算给建议。重点:
- 给结论要直接,先说“别怎么做”,再说“该怎么做”。
- 涉及改造(砸墙、改门、改下水),一定提醒先确认是否非承重墙、物业政策、防水范围。
- 涉及安全(用电、防滑、儿童安全),用自查表式清单,让用户能照着排查。
- 不去 AI 味,用西安装修课堂“过日子”的口吻,说人话、给干货。
参考文件清单(共 32 篇,倒序)
- ref-001.md — 高层住宅PK老破小
- ref-002.md — 买房问答:买房哪些户型是"刺客"千万别碰?
- ref-003.md — 从33楼到老破小的换房抉择
- ref-004.md — 买房问答:壁挂洗衣机安装要注意什么墙体?
- ref-005.md — 买房问答:开发商的插座底盒有问题,水电阶段没换怎么办?
- ref-006.md — 住了10年老破小的真实感受
- ref-007.md — 老破小装修避坑指南
- ref-008.md — 45㎡老破小顶楼蜕变
- ref-009.md — 买房避坑总结
- ref-010.md — 买房问答:买房选地段有什么聪明策略?
- ref-011.md — 买房问答:买房选名校旁要注意什么?
- ref-012.md — 买房问答:买房铁律"7字真言"是什么?
- ref-013.md — 买房问答:7类"垃圾房"千万别碰的是哪些?
- ref-014.md — 买房问答:买房终极避坑公式是什么?
- ref-015.md — 50㎡老破小改造案例
- ref-016.md — 买房问答:买房哪些位置最好不要碰?
- ref-017.md — 买房问答:精装修房装定制柜子,墙面不平缝隙大怎么办?
- ref-018.md — 买房问答:买房靠近高速高架有什么坑?
- ref-019.md — 买房问答:买房靠近殡仪馆墓地有什么问题?
- ref-020.md — 买房问答:买房选富人区边缘有什么好处?
- ref-021.md — 买房问答:买房选稀缺自然资源有哪些坑?
- ref-022.md — 买房问答:买房靠近菜市场有什么坑?
- ref-023.md — 买房问答:买房靠近医院有什么坑?
- ref-024.md — 买房问答:买房靠近高压线塔有什么问题?
- ref-025.md — 买房问答:买房选地铁口有什么好处?
- ref-026.md — 买房问答:买房选商业中心要注意什么?
- ref-027.md — 买房问答:买房为什么要避开工厂附近?
- ref-028.md — 买房问答:买房为什么要避开垃圾焚烧厂附近?
- ref-029.md — 买房问答:买房为什么要避开火葬场墓地附近?
- ref-030.md — 买房问答:毛坯房量尺买浴柜,贴完瓷砖尺寸变了怎么办?
- ref-031.md — 买房问答:海景房为什么是血亏陷阱?
- ref-032.md — 买房问答:厨房铺地毯有什么坑?
What ships with it
33 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.
- .gitkeep 1 B
- references/ref-001.md 1004 B
- references/ref-002.md 463 B
- references/ref-003.md 1.1 KB
- references/ref-004.md 420 B
- references/ref-005.md 453 B
- references/ref-006.md 1.3 KB
- references/ref-007.md 2.1 KB
- references/ref-008.md 556 B
- references/ref-009.md 597 B
- references/ref-010.md 595 B
- references/ref-011.md 354 B
- references/ref-012.md 400 B
- references/ref-013.md 550 B
- references/ref-014.md 462 B
- references/ref-015.md 489 B
- references/ref-016.md 615 B
- references/ref-017.md 429 B
- references/ref-018.md 405 B
- references/ref-019.md 411 B
- references/ref-020.md 397 B
- references/ref-021.md 393 B
- references/ref-022.md 376 B
- references/ref-023.md 409 B
- references/ref-024.md 380 B
- references/ref-025.md 360 B
- references/ref-026.md 351 B
- references/ref-027.md 357 B
- references/ref-028.md 366 B
- references/ref-029.md 363 B
- references/ref-030.md 396 B
- references/ref-031.md 416 B
- references/ref-032.md 347 B
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.
- 28d ago First seen · 68 lines · 127 tokens per session scan A aaca667ce832
maifang-goufang-bikeng-zhinan is a skill published in the GitHub repository zx029w/zhuangxiu-skills (85 stars, last pushed 5d ago), licensed MIT. It adds 127 tokens to every session and 1,744 once invoked, about $0.0005 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 2026-09-29.
Other skills, from other repositories
offensive-c2-frameworks
Command and Control framework deployment, configuration, and operational tradecraft for red team engagements. Covers Cobalt Strike (malleable C2 profiles, Beacon types HTTP/HTTPS/DNS/SMB, Beacon Object Files for in-memory execution, sleep and jitter tuning, named pipe pivoting), Sliver (implant generation across…
offensive-crypto-attacks
Systematic methodology for identifying and exploiting cryptographic implementation weaknesses in real-world applications. Covers padding oracle attacks against CBC-mode ciphers with PKCS7 padding (Vaudenay's original attack through modern padbuster automation), ECB mode exploitation including block cut-and-paste and…
offensive-parameter-pollution
HTTP parameter pollution (HPP) checklist: duplicate parameter injection, backend vs frontend parsing differences, WAF bypass via HPP, server-side vs client-side HPP, and practical exploitation patterns. Use when testing web applications for parameter handling flaws.
offensive-z-wave
Z-Wave attack methodology — sniffing with Z-Force / EZ-Wave / RTL-SDR + ZniffMobile, S0 (legacy) network-key derivation flaw and key reuse, S2 (modern) ECDH commissioning analysis, replay/injection on unauthenticated nodes, default-key brute-force on test deployments, and home-automation hub pivots. Use when targeting…
feature-prioritisation
Aplica marcos de priorización (RICE, MoSCoW, Kano, ICE, Opportunity Scoring) para clasificar características e items del backlog. Úsalo cuando se te pida priorizar características, clasificar un backlog, decidir qué construir a continuación, o evaluar compensaciones entre ideas competidoras. Produce una lista de…
outcome-tracker
Record the testable predictions inside a decision, then score them against reality later — so frameworks earn trust from outcomes, not vibes. Use when committing to a prioritisation, forecast, or plan (to log what it predicts), when asked to review what actually happened, or to compute how well-calibrated past RICE…