aios-scheme-write

aios-scheme-write is a skill for Claude Code, Codex from ArchSightLabs/archsight-aios. It costs 62 tokens per session (1,709 once invoked), scanned A, original, Apache-2.0.

A workflow for drafting and revising special construction plans for building projects. It turns project information, earlier plans, expert comments, and templates into a Markdown draft for later review.

In plain words
What is it for?
Use it to write or update construction methods, quality and safety plans, and crew briefing documents. It can also reuse suitable sections from older project plans.
Why use it?
It helps organize scattered project material and identify information that is missing or only suitable as a placeholder. A separate review step is still needed for safety, standards, calculations, and expert checks.

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 to write or update construction methods, quality and safety plans, and crew briefing documents. It can also reuse suitable sections from older project plans.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/archsightlabs/archsight-aios/aios-scheme-write
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-scheme-write
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-scheme-write

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-scheme-write"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-scheme-write.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,709 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 $0.00062 $0.01709
Opus 5 $0.00031 $0.00855
Sonnet 5 $0.00012 $0.00342
Haiku 4.5 $0.00006 $0.00171

Measured 9d ago against content hash f03133ed398f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

aios-scheme-write 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 9d 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-scheme-write/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIOS Scheme Write

目标

以 Vitruvius(建筑数字化专家)的方式组织专项施工方案写作,把方案初稿、历史方案素材、工程概况和专家意见转成可复核、可改写、可人工定稿的 Markdown 初稿。

本 Skill 是写作型能力,不替代 aios-scheme-audit 的审核职责。它负责生成、改写和素材复用;生成后必须交回 aios-scheme-audit 做危险源、规范 / 计算书、专家复核和交底要点门禁。aios-construction-scheme 作为原有领域型入口继续保留,仍可用于同类专项施工方案复核场景。

AIOS 适用性

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

  • 用户提供施工方案初稿、历史方案素材、工程概况、施工工艺、安全措施、专家意见或用户指定模板时,启用本 Skill。
  • 只要求危险源、交底要点、专家意见回查、计算书缺口或规范核验时,使用 aios-scheme-audit;已习惯 aios-construction-scheme 的团队可继续使用原入口。
  • 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。

输入

优先收集:

  • 方案初稿、工程概况、图纸说明、施工工艺、质量安全措施、专家意见、审批意见和计算书目录。
  • 历史专项方案、企业工法、标准化章节、类似工程方案、交底材料和用户指定模板。
  • 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、场地环境、设备和材料。
  • 本次写作要求:目标章节、篇幅、格式、交付时间、技术负责人、总工、安全负责人和资料负责人。
  • 资料定位:文件名、版本、日期、页码、章节、图号、表号、历史素材来源和适用条件。

Markdown 工作母版

施工方案生成和改写默认使用 Markdown 作为工作母版;Word、PDF、PPT 是交付格式,不是主要编辑格式。

推荐文件链:

source-normalized.md
material-index.md
writing-brief.md
draft.md
review-notes.md
final.md

写作前必须先明确:

  • 本次工程概况、施工条件和专家意见来自哪里。
  • 历史方案中哪些内容可复用改写、仅参考、不可套用或需人工确认。
  • 哪些参数、工艺、设备、危险源、规范、计算书和审批事项缺少证据。
  • 哪些内容只能作为占位,不能写成已确认现场条件或专业结论。

素材复用判断

历史方案素材必须先分级,再进入正文:

复用级别 使用方式
可复用改写 工程类型、工艺、适用条件和控制措施匹配,去除旧项目事实后可改写入本次方案。
仅参考 章节结构、表达方式或管理措施可参考,但项目参数、地点、设备、图号和工期不能套用。
不可套用 与本次工程类型、地区、专业、危险源、设备、规范或现场条件不匹配。
需人工确认 需要技术负责人、总工、安全负责人、质量负责人、专家或资料员确认后才能写入。

工作流

  1. 建立资料来源清单:列出方案初稿、历史方案、工程概况、专家意见、计算书和定位方式。
  2. 建立写作 brief:确认本次章节、方案用途、工程条件、输出格式、人工复核人和禁止结论。
  3. 建立素材索引:按章节、工程类型、工艺、危险源和复用级别整理历史素材。
  4. 生成章节结构:把工程概况、施工部署、工艺流程、质量安全控制、应急措施和交底要点映射到方案目录。
  5. 生成或改写 draft.md:保留来源标记、待补占位和复用级别,不把历史项目事实写成本项目事实。
  6. 自检写作稿:检查是否输出方案合格、计算正确、专家论证通过、审批通过或现场安全满足等越权结论。
  7. 审核门禁:把 draft.md 交给 aios-scheme-audit 复核危险源、规范 / 计算书、专家意见和交底要点。

输出格式

默认输出:

  1. 写作任务判断
  2. 资料来源清单
  3. 写作 brief
  4. 历史素材匹配表
  5. 方案章节结构
  6. 施工方案 Markdown 初稿 / 改写稿
  7. 危险源和控制措施占位表
  8. 待补资料和人工复核清单
  9. 审核门禁交接
  10. 输出自检

历史素材匹配表格式:

素材来源:
原章节 / 原段落:
本次可用位置:
复用级别:可复用改写 / 仅参考 / 不可套用 / 需人工确认
需要删除的旧项目事实:
需要补充的本项目证据:
建议复核岗位:

章节草稿条目格式:

章节:
对应工程条件 / 专家意见 / 方案要求:
可用素材:
正文草稿:
待补占位:
来源标记:
人工复核岗位:

Read the full file on GitHub · 133 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. 9d ago First seen · 133 lines · 62 tokens per session scan A f03133ed398f

Subscribe to this mod's changes

aios-scheme-write is a skill published in the GitHub repository ArchSightLabs/archsight-aios (14 stars, last pushed 13d ago), licensed Apache-2.0. It adds 62 tokens to every session and 1,709 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.

Related

Other skills, from other repositories

massing-bim

Drive a Massing BIM/AEC project from an AI agent over MCP — read a project's status, records, CDE, KPI and model-quality checks; run standards-compliance, schedule-risk, embodied-carbon, permit- readiness and drawing-QA analyses; author the IFC model with GUID-stable recipes; and draft RFIs. Use when the user asks to…

ibuilder/massing · 90 tokens

ara3d-sdk

Use when processing AEC/BIM 3D data in .NET 8 — mesh generation and transformation, SIMD-accelerated math, IFC/STEP/PLY to glTF/GLB/VIM conversion, plugin development. Ara3D-SDK: high-performance .NET 3D geometry and BIM library suite.

znlgis/opengis-skills · 70 tokens

elements

Use when generating building information models (BIM) programmatically in C#/.NET — wall, beam, column, floor creation, geometry kernel (BREP/CSG), glTF/IFC/JSON serialization, MEP systems, spatial grids. Hypar Elements: the smallest useful BIM — a cross-platform C# library for creating building elements without…

znlgis/opengis-skills · 81 tokens

3d-skills

Use when working with 3D Gaussian Splatting (3DGS), .ply model cleanup/compression/publishing, interactive 360-degree panorama visualization and virtual tours, AEC/BIM 3D data processing, or CSG solid modeling. Index of 5 skills: SuperSplat, Photo-Sphere-Viewer, Ara3D-SDK, Elements, and OpenCSG.NET.

znlgis/opengis-skills · 86 tokens

naviscoord-setup

Instalar, actualizar, reparar y verificar NavisCoord en ChatGPT Work de escritorio, Claude Desktop, Claude Code y Codex cuando faltan las herramientas navis o el puente de Navisworks no responde.

HorizunGroup/naviscoord-mcp · 50 tokens

bim-agent

BIM Agent — Query and validate Building Information Models (IFC) through natural language.

Daviidro/bim-agent · 21 tokens