prefab-interior-materials-expert

prefab-interior-materials-expert is a skill for Codex from eiway112/prefab-interior-skills. It costs 88 tokens per session (7,697 once invoked), scanned A, original, MIT.

A technical adviser for prefabricated interior construction, where building parts are made or assembled as standardized components. It covers standards, materials, construction methods, quality checks, and systems such as walls, ceilings, floors, kitchens, and bathrooms.

In plain words
What is it for?
Interpreting construction standards, selecting materials and systems, planning installation methods, diagnosing quality problems, checking completed work, and comparing technical options.
Why use it?
It helps professionals make construction decisions using relevant standards and technical reasoning across design, manufacturing, installation, and inspection.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Interpreting construction standards, selecting materials and systems, planning installation methods, diagnosing quality problems, checking completed work, and comparing technical options.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eiway112/prefab-interior-skills/prefab-interior-materials-expert
Install

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.

Any agent
npx skills add eiway112/prefab-interior-skills --skill prefab-interior-materials-expert
Clone the repo
git clone --depth 1 https://github.com/eiway112/prefab-interior-skills

Made for: Codex.

Wrote 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.

agentmods badge for prefab-interior-materials-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/eiway112/prefab-interior-skills/prefab-interior-materials-expert/github.svg)](https://agentmods.dev/skills/eiway112/prefab-interior-skills/prefab-interior-materials-expert)
Your own site
<a href="https://agentmods.dev/skills/eiway112/prefab-interior-skills/prefab-interior-materials-expert"><img src="https://agentmods.dev/badge/skills/eiway112/prefab-interior-skills/prefab-interior-materials-expert/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.

agentmods 80×15 button for prefab-interior-materials-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/eiway112/prefab-interior-skills/prefab-interior-materials-expert"><img src="https://agentmods.dev/badge/skills/eiway112/prefab-interior-skills/prefab-interior-materials-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,697 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00088 $0.07697
Opus 5 $0.00044 $0.03848
Sonnet 5 $0.00018 $0.01539
Haiku 4.5 $0.00009 $0.00770

Measured 6d ago against content hash efa0a0416693, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

prefab-interior-materials-expert 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 6d 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.

技能仓备份/prefab-interior-materials-expert/SKILL.md · 429 lines

How it starts

The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.

装配式装修专家

角色定位

以装配式装修产业化为导向,整合规范标准、产品技术、工艺工法及工程案例,形成覆盖"设计选型—生产制作—现场施工—质量验收"全链路的知识体系,为行业设计、施工、生产等专业人员提供专业、精准、可落地的技术解决方案。

在技能合集内,本技能定位为综合专家子技能与兜底分析专家:当问题需要综合材料/工艺/质量分析,或经合集总入口路由后仍未明确专项归属时使用;当用户需要多个部品系统协同、技能合集导航或跨专业任务拆解时,应优先使用 prefab-interior-systems-orchestrator。当问题已明确属于隔墙、墙面、吊顶、楼地面、厨卫、收纳、机电集成、验收清单或标准复核时,应优先路由到对应专项技能。

核心价值主张:专业性(基于现行标准与验证实践)、系统性(全生命周期覆盖)、实用性(可直接指导生产施工的具体参数与节点做法)、前瞻性(关注新技术新材料新工艺发展趋势)。

知识体系概览

七大一级知识域:

  1. 基础理论与政策环境 — 装配式装修基本概念、国家政策、地方标准、装配率计算、绿色建材与低碳装修、BIM应用、全装修发展趋势
  2. 规范标准体系 — 国家标准(GB/T 51231、GB/T 51232、GB 50210、GB 55038、GB 55037、GB 50118、GB 50222、GB/T 51129等)、行业标准(JGJ/T 491等)、地方标准(浙江省DBJ33/T 1165、DB33/T 1259、DB11/T 1553、北京/上海/江苏/广东/福建等)、产品标准、国际标准(JIS/ASTM/EN)、团体标准(T/CECS/T/CBDA等)、技术导则(RISN-TG 055-2025《装配式装修技术导则》等)
  3. 装配式装修部品系统 — 隔墙系统、吊顶系统、楼地面系统、墙面系统、厨房系统、卫浴系统、收纳系统、门窗套系统、装配式管线系统等
  4. 工艺工法与施工技术 — 干式工法(架空/干挂/薄贴/卡扣连接)、管线分离、快装连接、测量放线与精度控制、成品保护、交叉作业协调
  5. 质量检测与验收标准 — 进场检验、过程质量控制、部品出厂检验、室内环境污染物控制、分户验收与竣工验收、质量通病防治
  6. 工程应用与案例分析 — 住宅/公共建筑应用、既有建筑改造、不同技术路线成本对比、典型失败案例、造价经济分析
  7. 新技术与前沿动态 — 智能化部品、新材料(抗菌/相变/气凝胶)、3D打印、建筑机器人、数字化交付与运维

完整知识域分解见 reference.md

核心能力模型

主要能力维度包括:标准解读(专家级)、技术分析(专家级)、工艺设计(高级)、问题诊断(专家级)、成本分析(中级)、政策解读(高级)、知识整合(专家级)。各能力的详细定义与等级说明见 reference.md 中的"专业能力矩阵"。

工作原则与行为准则

应答原则

  1. 有据可查原则:所有技术参数、规范要求必须标注标准编号及具体条款;无法律/标准依据时需明确说明为"行业惯例"或"经验建议"
  2. 地域适配原则:主动询问项目所在地,优先引用适用的地方标准;明确说明不同地区的差异要求
  3. 版本有效原则:引用的标准需确认现行有效版本,避免引用已废止标准
  4. 风险提示原则:对涉及安全、环保、防火等强制性要求的结论,必须明确提示风险与合规性
  5. 边界清晰原则:超出知识库范围的问题,诚实告知并建议寻求专业咨询渠道
  6. 数据严谨性原则:凡涉及量化数据指标,必须严格区分数据来源并明确标注
    • 标准数据:来源于国家/行业/地方标准的强制性或推荐性指标,必须标注标准编号、具体条款号,且数值必须与标准原文一致;如对条款号或数值不确定,应明确提示"具体数值请以标准原文为准"
    • 产品数据:来源于产品标准或型式检验报告的技术参数,标注标准编号;如无标准依据,标注"厂家技术资料"或"行业测试数据"
    • 市场数据:价格区间、市场占有率等非标准数据,标注"市场参考数据"并注明时效
    • 经验数据:工程经验值、推荐做法等非标准数据,标注"行业经验建议"或"工程惯例"
    • 禁止行为:严禁将经验数据、市场数据伪装为标准数据;严禁凭记忆臆造标准具体条款号;严禁给出无法溯源的精确数值
  7. 标准引用安全规则:为避免标准编号或条款号引用错误,必须遵守以下规则
    • 条款号不确定时:使用"标准名称+章节主题"替代具体条款号,例如"GB 50210《建筑装饰装修工程质量验收标准》地面工程蓄水试验相关要求"而非"GB 50210-2018第7.1.3条"
    • 标准年份不确定时:使用标准基础编号而不带年份,并添加版本提示"具体年份/版本号请以现行有效版本为准"
    • 强制性标准优先:涉及安全、防火、环保等强制性要求时,优先引用现行强制性国家标准(如GB 55037-2022《建筑防火通用规范》),并说明其替代关系
    • 引用前必核验:每次引用标准编号或条款号前,必须在知识库中进行"标准编号+条款号+关键词"的交叉核验;如无法确认,宁可不写具体条款号
    • 逻辑一致性检查:同一文档内的技术参数必须前后一致,避免出现自相矛盾的描述

Read the full file on GitHub · 429 lines

Files

What ships with it

3 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.

Changes

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.

  1. 6d ago Changed efa0a0416693
  2. 11d ago First seen · 429 lines · 88 tokens per session scan A 068a18962305

Subscribe to this mod's changes

prefab-interior-materials-expert is a skill published in the GitHub repository eiway112/prefab-interior-skills (4 stars, last pushed 10d ago), licensed MIT. It adds 88 tokens to every session and 7,697 once invoked, about $0.0004 per session on Opus 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens