aios-design

aios-design is a skill for Claude Code, Codex from ArchSightLabs/archsight-aios. It costs 65 tokens per session (1,958 once invoked), scanned A, original, Apache-2.0.

A design-review workflow for construction-industry software interfaces, checking whether pages and workstations support real tasks such as document review, BIM navigation, issue tracing, and evidence-based decisions.

In plain words
What is it for?
Use it to review plans for BIM viewers, drawing review, standards search, report checking, component issue lists, dashboards, and construction management interfaces.
Why use it?
It exposes missing states, unclear workflows, weak evidence links, inconsistent terminology, and implementation gaps before UI work begins.

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 review plans for BIM viewers, drawing review, standards search, report checking, component issue lists, dashboards, and construction management interfaces.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-design"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,958 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 $0.00065 $0.01958
Opus 5 $0.00032 $0.00979
Sonnet 5 $0.00013 $0.00392
Haiku 4.5 $0.00006 $0.00196

Measured 10d ago against content hash 84cf1cf61891, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

aios-design 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 10d 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-design/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIOS Design

目标

以 Janus(产品策略官)的方式审查建筑行业平台界面方案:先判断界面任务是否成立,再把模糊的页面计划补成可实现、可验证、可交接的工作台决策。

AIOS Design 参考设计计划评审方法,但面向建筑行业平台研发做了收敛:重点关注工作台效率、BIM / IFC / 图纸 / 审图证据链呈现、长任务状态、中文术语一致性、数据密度和复核路径,而不是泛化的视觉风格、品牌审美或前端美化。

它不回答“页面够不够好看”,而是回答“这个界面能不能让建筑行业用户完成审查、定位、复核、追溯和交付”。

AIOS 适用性

本 Skill 继承 AIOS 的全局定位:AIOS 是建筑行业增强层,不是通用 UI 评审替代器。

  • 建筑行业平台、审图工作台、BIM Viewer、规范检索、报告复核、构件问题列表、管理后台或工程数据看板,启用 AIOS 行业增强。
  • 普通非建筑 UI / UX 任务优先使用宿主工具的通用前端和设计能力;不要强行套用图纸、模型、构件、规范、审查或工程证据链假设。
  • 是否适用不明确时,先读 README、.ai/project-context.md、项目 profile 和当前页面任务事实。

适用场景

  • 页面、组件、审图工作台、管理后台、BIM Viewer、规范检索、报告复核、构件问题列表或数据看板实现前的界面方案评审。
  • PRD、任务计划或设计文档中包含用户流程、信息架构、交互状态、证据定位、复核动作或实现约束。
  • AI 生成 UI 前,需要先判断页面是否有明确任务、状态覆盖和验收标准。
  • 已有实现计划但缺少空状态、错误状态、移动端行为、可访问性或设计系统复用说明。

如果任务没有 UI / UX 范围,直接说明本 Skill 不适用,并建议按问题转给 aios-productaios-archaios-planaios-reviewaios-exec

输入

优先收集:

  • 用户角色、业务目标和页面要完成的关键任务。
  • 计划涉及的页面、组件、入口、流程和数据对象。
  • 现有设计系统、组件库、样式约束、截图或参考界面。
  • 状态要求:loading、empty、error、success、partial、permission、timeout、long-running。
  • 图纸定位要求:页码、轴网、楼层、专业、视图、批注和图纸版本。
  • 模型定位要求:IFC GUID、构件树、空间层级、构件属性、模型版本和版本对比。
  • 审查结论要求:规则来源、命中依据、证据片段、人工复核状态、确认人和撤回路径。
  • 长任务要求:上传、解析、索引、审查、报告生成、失败恢复和重试。
  • 建筑行业语义:项目、楼栋、楼层、空间、构件、图纸、模型、规范条文、审查项、证据、报告和人工复核。
  • 目标设备和使用场景:桌面工作台、现场移动端、会议演示、运维后台或审查流转。

信息不足时,先列出缺口和可推进的最小判断,不要编造页面或品牌设定。

工作流

  1. 做 Interface Scope Check:确认计划是否涉及用户可见界面、任务入口或交互;没有则退出。
  2. 做 Existing Design Check:盘点已有组件、布局、设计系统、术语、表格、筛选器、Viewer、证据定位和状态组件,优先复用。
  3. 给总体设计完整度打 0-10 分,并说明扣分来自哪些可验证缺口。
  4. 逐项评审设计维度,每项给 0-10 分;低于 8 分时说明“做到 10 分需要补什么”。
  5. 对显而易见的缺口给出具体修正建议;对真正影响版本范围、用户故事或产品验收的问题标为 Unresolved Decision,并交回 aios-product
  6. 把已澄清的界面决策交接给 aios-exec / frontend-generation;把技术边界、数据链路或证据链问题交给 aios-arch
  7. 如果已有可运行界面或截图,需要后续做功能、布局和证据链验证,不要把文本评审当成最终 QA。

评审维度

每项都要明确“当前分数 / 达到 10 分的条件 / 建议修正”:

  1. Information Architecture:用户第一眼看到什么,核心数据、操作、状态和证据是否按审查任务优先级组织。
  2. Workflow Efficiency:高频任务是否少跳转、少等待、少重复录入;批量、筛选、回退、撤销和复核路径是否清楚。
  3. Interaction State Coverage:loading、empty、error、success、partial、permission、timeout、long-running 是否说明用户看到什么、能做什么。
  4. Domain Evidence UX:图纸 / 模型 / 构件 / 规范条文 / 审查项 / 报告之间的证据链是否可定位、可追溯、可复核;是否明确页码、轴网、楼层、专业、IFC GUID、构件树、空间层级、版本来源、规则命中依据和人工确认状态。
  5. Chinese Copy & Terminology:中文标签、状态、错误、AI 建议和建筑术语是否一致;避免中英混杂和泛化文案。
  6. Responsive & Accessibility:桌面、窄屏、移动端、键盘操作、焦点、对比度、触控目标和屏幕阅读器是否有明确策略。
  7. 界面决策清晰度(Workspace Decision Clarity):是否明确任务入口、证据定位、复核动作、状态反馈、长任务进度、失败恢复和实现验收,而不是“简洁现代”“卡片化”“漂亮 dashboard”等空泛描述。
  8. Design System Alignment:是否复用已有组件、token、表格、导航、Viewer、表单和空状态模式。
  9. 实现交接清晰度(Implementation Handoff Clarity):工程师是否能据此实现并验证;是否有验收路径、截图检查、测试、人工检查标准和证据链验收样例。

Read the full file on GitHub · 109 lines

Files

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.

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. 10d ago First seen · 109 lines · 65 tokens per session scan A 84cf1cf61891

Subscribe to this mod's changes

aios-design is a skill published in the GitHub repository ArchSightLabs/archsight-aios (14 stars, last pushed 14d ago), licensed Apache-2.0. It adds 65 tokens to every session and 1,958 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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