aios-construction-scheme

aios-construction-scheme is a skill for Claude Code, Codex from ArchSightLabs/archsight-aios. It costs 58 tokens per session (1,769 once invoked), scanned A, original, Apache-2.0.

A review workflow for special construction-method documents, breaking them into work steps, hazards, worker briefing points, standards to check, calculation gaps, and expert review items.

In plain words
What is it for?
Use it with plans for deep excavations, formwork, scaffolding, lifting, steel structures, curtain walls, mechanical and electrical work, concrete, and waterproofing.
Why use it?
It makes important safety and technical details easier to locate while leaving structural calculations, approvals, and final safety decisions to qualified people.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the archsight-aios plugin — 33 skills shipped together

Good fit Use it with plans for deep excavations, formwork, scaffolding, lifting, steel structures, curtain walls, mechanical and electrical work, concrete, and waterproofing.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/archsightlabs/archsight-aios/aios-construction-scheme
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 ArchSightLabs/archsight-aios --skill aios-construction-scheme
Clone the repo
git clone --depth 1 https://github.com/ArchSightLabs/archsight-aios

Made for: Claude Code, Codex.

Or install archsight-aios, the plugin that ships this one along with the rest of its 33 skills.

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 aios-construction-scheme

README.md
[![agentmods](https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-construction-scheme/github.svg)](https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-construction-scheme)
Your own site
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-construction-scheme"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-construction-scheme/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 aios-construction-scheme

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-construction-scheme"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-construction-scheme.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,769 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00058 $0.01769
Opus 5 $0.00029 $0.00885
Sonnet 5 $0.00012 $0.00354
Haiku 4.5 $0.00006 $0.00177

Measured 11d ago against content hash b86a3a3b3e32, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aios-construction-scheme 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.

skills/aios-construction-scheme/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIOS Scheme

目标

以 Vitruvius(建筑数字化专家)的方式整理专项施工方案,把方案文本拆成可复核的工程对象、工序控制点、危险源、交底要点和人工复核清单。

本 Skill 不替代总工审查、专家论证、危大工程审批、结构计算、施工许可或安全验收。涉及结构力学、承载、稳定、变形或安全系数的数值结论必须交给 Euclid 和确定性求解器或项目计算书。

本 Skill 保留原有工程施工 / 专项方案领域入口含义。面向新用户的短名入口为 aios-scheme,只做审核时也可使用 aios-scheme-audit

AIOS 适用性

本 Skill 仅用于建筑工程专项施工方案、技术措施、质量安全方案和班组交底资料。

  • 深基坑、模板支撑、脚手架、起重吊装、钢结构、幕墙、机电安装、混凝土浇筑、防水等施工方案,启用 AIOS 行业增强。
  • 普通通用流程文档、非建筑作业指导书或行政制度,不使用本 Skill。
  • 如果任务要求最终合规结论、危大工程审查结论或结构安全结论,必须升级人工专家和确定性工具。

输入

优先收集:

  • 专项施工方案、工程概况、图纸说明、计算书、专家论证意见和审批表。
  • 项目条件:地区、工程类型、危险性较大分部分项工程属性、施工阶段、场地和环境约束。
  • 资料定位:文件名、版本、日期、页码、章节、图号、表号或段落。
  • 用户关注点:危险源、关键工序、交底、规范核验、计算书缺口、专家复核项。
  • 可用 Knowledge Pack 或 knowledge.norm_lookup 查询输入;如存在,应优先使用其引用、版本、适用性和仲裁状态,不得只靠模型常识判断规范口径。

基础版模式

用于工程业务资料处理、项目复核辅助、部门工作流整理或模板沉淀时,按本节收口。可复制的基础提示词见 prompts/basic-prompt.md

最小可用输入:

  • 脱敏后的专项施工方案片段、工程概况、施工工艺、安全措施、专家修改说明、AI 方案编制试用反馈或计算书目录。
  • 文件名、版本、日期、章节 / 页码 / 图号 / 表号。
  • 用户要复核的问题,例如危险源、交底要点、专家意见回查、计算书缺口、AI 生成失准原因。
  • 人工复核岗位,例如技术负责人、总工、安全负责人、质量负责人、专家或资料员。

基础输出优先级:

  1. 全程使用“AI 辅助施工方案复核”口径,不使用“AI 审查施工方案”。
  2. 如资料是 AI 方案编制试用反馈,先输出 AI 生成失准原因复盘,再给后续资料包和回查清单建议。
  3. 如资料包含专家论证修改说明,先拆成回查点,再回查正文、附图、计算书和验收要求是否有对应依据。
  4. 不输出“合格 / 不合格 / 已通过审查”,不确认计算正确,不替代总工、专家或审批主体。

标准详版报告与输出自检

短指令触发本 Skill 时,默认输出标准详版报告,不要压缩成摘要。标准详版报告必须包含:资料来源清单、主分析表 / 清单 / 台账、资料缺口、人工复核岗位、AI 不应下结论事项、输出自检。

最小详度要求:

  • 资料足够时,关键工序与控制点、危险源与控制措施或规范 / 计算书 / 专家复核清单至少展开 3 条可定位事项;资料不足时,列出全部可定位事项并说明不足原因。
  • 主分析表必须保留“事项 / 类型 / 方案原文 / 证据 / 工具结果 / 处理建议 / 建议复核岗位”等字段,不得只写概括段落。
  • 输出自检必须逐项确认是否包含资料来源、主分析表 / 清单 / 台账、资料缺口、人工复核岗位、AI 不应下结论事项;缺一项时先补齐再结束。

Capability 与证据

  • 每个危险源、控制措施和交底要点必须绑定方案原文证据。
  • 涉及规范条文、地方规程、强制性要求或危大工程判断时,调用或要求 knowledge.norm_lookup;如果有已编译 Knowledge Pack,应记录 knowledgePackPath、命中条文、sourceVersionapplicability;没有工具结果时标注 需核验
  • 涉及力学计算、承载力、稳定、变形、荷载或边界条件时,不得口算;输出 处理建议:转 Euclid 结构复核,并要求 aios-structural 或项目计算书证据。
  • Agent 冲突或证据缺失按中文化的 判断事项 / 证据 / 工具结果 / 处理建议 输出。

工作流

  1. 建立资料来源清单:列出方案版本、附件、计算书、审批/论证文件和定位方式。
  2. 提取工程对象和适用范围:施工部位、专业、阶段、限制条件和前置条件。
  3. 拆解关键工序:按施工顺序提取质量控制点、安全控制点、验收点和交底要点。
  4. 建立危险源清单:危险源、触发条件、方案已写措施、缺失证据和人工复核岗位。
  5. 标注规范核验点:只列需核验问题,不在缺少工具结果时给出合规结论。
  6. 如存在 Knowledge Pack,使用 knowledge.norm_lookup 对规范 / 审查口径问题做查询,并把 foundnot_foundconflictinapplicableneed_context 写入证据仲裁。
  7. 标注计算书和专家复核缺口:力学参数、荷载组合、支撑体系、设备能力、地质条件等。
  8. 输出班组交底摘要:把已确认的操作红线转为可执行提醒,保留来源证据。

Read the full file on GitHub · 112 lines

Files

What ships with it

2 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. 11d ago First seen · 112 lines · 58 tokens per session scan A b86a3a3b3e32

Subscribe to this mod's changes

aios-construction-scheme is a skill published in the GitHub repository ArchSightLabs/archsight-aios (15 stars, last pushed 14d ago), licensed Apache-2.0. It adds 58 tokens to every session and 1,769 once invoked, about $0.0003 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 2026-08-30.

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