Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/eiway112/prefab-interior-skillsnpx agentmods add skills/eiway112/prefab-interior-skills/v2_1_3_preWrote 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/eiway112/prefab-interior-skills/v2_1_3_pre)<a href="https://agentmods.dev/skills/eiway112/prefab-interior-skills/v2_1_3_pre"><img src="https://agentmods.dev/badge/skills/eiway112/prefab-interior-skills/v2_1_3_pre/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/eiway112/prefab-interior-skills/v2_1_3_pre"><img src="https://agentmods.dev/badge/skills/eiway112/prefab-interior-skills/v2_1_3_pre.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 | $0.00232 | $0.13521 |
| Opus 5 | $0.00116 | $0.06760 |
| Sonnet 5 | $0.00046 | $0.02704 |
| Haiku 4.5 | $0.00023 | $0.01352 |
Grade A, and why
prefab-wall-surface-system 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.
This is a copy
95% identical to prefab-wall-surface-system — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 599 lines — stays where its author put it; the contents beside it link to each section on GitHub.
装配式墙面系统 — 决策与验证引擎
版本状态：v2.1.2（2026-08-06 官方核验与入库：SJG 159-2024 入库 standards-index 序号 58 并完成官方发布 PDF 全文核验，B3.4/B3.5 深圳规则注记补全；基于 v2.1.1，QA 47 例基线不变）
§1 角色定位
| 项目 | 定义 |
|---|---|
| 技能标识 | WS |
| 技能名称 | prefab-wall-surface-system |
| 定位 | 装配式墙面系统的决策方法论与验证引擎 |
| 核心原则 | 所有输出结论基于标准规范与经验证的数据，不基于产品营销话术 |
v2 认知模型升级：从 v1 的"墙面方案推荐"升级为"决策方法论 + 验证引擎"。旧模型："我有这些墙面方案 → 你的需求匹配哪个 → 推荐给你"；新模型："你有任何方案 → 我帮你系统验证 → 你做出决策"。技能知识分三层处理：原则红线层（A 层，不可逾越的硬约束）、方法论层（B 层，核心能力输出）、演示示例层（方法论运作载体）。
WS 域特性：墙面为饰面系统，无隔声计算职能（隔声/耐火性能归属隔墙系统，红线 WS-R-P0-2 设边界），故不接入 ACE；B2 验证协议 Step 3 为"性能数据核验 + 认定判定"（数据核验型），装配率认定是 WS 特有的核心输出。
核心能力矩阵：
| 能力 | 说明 | 支撑体系 |
|---|---|---|
| 选型决策 | 三大技术路线×多场景的决策树 | B1 选型决策树 |
| 验证协议 | 六步骤全流程验证（数据核验型，无 ACE） | B2 验证协议 |
| 装配率认定 | 饰面做法"装配式"认定判定与各地评分 | B3 装配率认定判定 |
| 施工控制 | 工法施工约束、医疗专项控制点 | B4 施工控制 |
| 管线分离 | 各路线管线方案与空腔设计 | B5 管线分离 |
与隔墙技能（PW）的协作边界：
| 维度 | WS 管辖 | PW 管辖 |
|---|---|---|
| 性能归属 | 饰面性能：抗菌、耐污、硬度、环保、饰面燃烧性能等级 | 隔声量（Rw/DnT,w）、耐火极限、分区安全 |
| 构件 | 基层板外表面以上：调平层、连接层、空腔层、饰面板层 | 隔墙构造（龙骨、板材、空腔），止于基层板外表面 |
| 红线 | WS-R-P0-2（不混淆系统边界） | PW 对应红线 |
§2 认知基础
技能对"什么是装配式室内墙面系统"的权威定义（T/CECS 1018-2022）、术语体系（北京市导则/广州市汇编）、分类体系及系统层级关系，详见 reference.md §一。术语以 ../shared/glossary.md（合集级共享术语库）为统一基准。
核心价值声明：WS 的所有输出结论基于标准规范与经验证的数据，不基于产品营销话术；核心价值主张为系统产品思维（基层板 × 复合工艺 × 连接方式的系统化选型）、全场景覆盖（从混凝土基层到轻钢龙骨基层的完整工法体系）、管线分离一体化（墙面系统与机电管线的集成设计）。
认知基线指针：
| 内容 | 指针 |
|---|---|
| 定义与分类框架 | → reference.md §一 |
| 标准层次与引用规则 | → reference.md §二 |
| 原理红线层（A 层） | → reference.md §三 |
| 方法论层（B 层） | → reference.md §四 |
| 知识域（边界/协同/案例） | → reference.md §五 |
§3 方法论层摘要
B1-B5 核心能力概述
| 编号 | 能力 | 核心内容 | 指针 |
|---|---|---|---|
| B1 | 选型决策树 | 场景识别→硬约束筛查→路线匹配→进 B2 | → reference.md §四 B1 |
| B2 | 验证协议 | 六步骤全流程（SRE→解析→审查→核验→维度核验→组装） | → reference.md §四 B2 |
| B3 | 装配率认定判定 | 认定三要素+饰面做法判定表+各地评分与面积计算 | → reference.md §四 B3 |
| B4 | 施工控制 | 工法施工约束+医疗专项控制点 | → reference.md §四 B4 |
| B5 | 管线分离 | 五路线管线方案+设计要点+跨技能接口 | → reference.md §四 B5 |
What ships with it
1 file 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.
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 · 599 lines · 232 tokens per session scan A 7011fcd23ac8
prefab-wall-surface-system is a skill published in the GitHub repository eiway112/prefab-interior-skills (4 stars, last pushed 9d ago), licensed MIT. It adds 232 tokens to every session and 13,521 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to prefab-wall-surface-system, differing in 9 lines, and is treated as a copy.
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