aios-product

aios-product is a skill for Claude Code, Codex from ArchSightLabs/archsight-aios. It costs 76 tokens per session (2,742 once invoked), scanned A, original, Apache-2.0.

A product-management workflow for turning an approved direction into a defined software version with a product brief, priorities, acceptance measures, pilot or user-acceptance testing, and handover details.

In plain words
What is it for?
Use it for construction-industry software, BIM, IFC, Revit, CAD, document review, engineering knowledge bases, collaboration tools, and engineering AI products.
Why use it?
It clarifies what the next release should deliver, what it will not include, and how the team will verify that it works.

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 for construction-industry software, BIM, IFC, Revit, CAD, document review, engineering knowledge bases, collaboration tools, and engineering AI products.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-product"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-product.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,742 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 $0.00076 $0.02742
Opus 5 $0.00038 $0.01371
Sonnet 5 $0.00015 $0.00548
Haiku 4.5 $0.00008 $0.00274

Measured 12d ago against content hash 3993404df92f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aios-product 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 12d 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-product/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AIOS Product

目标

以 Janus(产品策略官)的产品经理模式,把已确认的产品方向转成一版可交付、可验收、可观测的产品契约。

本 Skill 关注“下一版要为用户交付什么结果、如何证明结果成立”,不重复 aios-ceo 的立项、商业目标和停损判断,也不替代设计、架构或工程计划。

AIOS 适用性

本 Skill 继承 AIOS 的全局定位:AIOS 是建筑行业增强层,不是通用产品管理工具替代器。

  • 建筑行业软件、BIM / IFC / Revit / CAD 平台、智能审图、工程知识库、施工协同、规范检索、工程 AI Agent 或证据工作流的产品体检、版本定义和 PRD / 试点交接,启用行业增强。
  • 普通非建筑产品问题优先使用宿主工具的通用产品能力;不要强行引入 BIM、规范、审图或工程责任假设。
  • 是否适用不明确时,先读 README、.ai/project-context.md、项目 profile、当前产品事实和用户任务。

决策边界

Skill 核心问题 主要产物
aios-ceo 是否做、为谁做、为什么值得投入、何时收缩或停止 定位、商业假设、范围决策、阶段路线、停损信号
aios-product 下一版解决什么用户问题、做什么和不做什么、如何验收 产品诊断、版本范围、PRD、优先级、指标、试点 / UAT、交接契约
aios-design 用户如何在界面中完成任务、理解状态和恢复错误 用户流程、信息架构、交互状态、界面验收
aios-arch 如何可靠实现、技术边界和长期代价是什么 架构方案、技术取舍、失败模式、验证路径
aios-plan 如何把已明确的产品和架构约束拆成工程交付 任务、依赖、验证、发布和回滚顺序

如果输入仍在争论是否立项、商业目标、目标市场或停损线,先交给 aios-ceo。如果产品方向已确认但需求、版本范围、用户验收或试点闭环不清,使用本 Skill。

与 CEO / Arch 的组合

  • aios-ceo -> aios-product 是顺序交接:Product 接收目标用户、价值假设、阶段目标、资源边界、战略非目标和停损信号,不重新立项。
  • aios-product <-> aios-arch 是迭代握手:Product 先提出用户结果和版本草案,Arch 返回 支持 / 需调整 / 技术阻断 及证据,Product 再调整范围、非目标和验收契约。
  • aios-ceo + aios-arch 的纯战略技术联合评审不强制加入 Product;只有结论要进入具体版本、PRD、验收或试点时才调用本 Skill。
  • 三者同时使用时,CEO 决定战略边界,Product 拥有该边界内的版本产品契约,Arch 拥有技术边界、可靠性和可验证性判断。Product 不忽略有证据的技术阻断,Arch 不重排用户价值优先级。
  • 架构反馈若只是实现约束,由 Product 在当前版本内消化;如果必须改变核心用户结果、目标市场、投入边界或停损条件,升级回 aios-ceo

输入与证据

优先收集足以支撑版本判断的最小事实:

  • aios-ceo 的方向、目标用户、阶段目标、非目标和资源边界,如存在。
  • 当前产品入口、真实可用能力、未完成能力和明确不做的范围。
  • 用户角色、工程流程、当前替代方案、发生频率、人工耗时、错误和责任后果。
  • 客户访谈、试点记录、使用数据、支持反馈、流失原因和人工验收记录。
  • 当前 PRD、路线图、设计、接口契约、测试、发布状态和历史承诺。
  • 已有 aios-arch 结论中的可行性、技术非目标、失败模式、迁移与验证约束,如存在。
  • 建筑行业资料、模型、规范、项目台账、证据链和人工复核要求。
  • 时间、团队、交付窗口、数据、权限、部署和采购约束。

严格区分 已验证事实合理推断产品假设待补证据。没有真实用户、市场、收入或使用数据时,不得编造或包装成已验证结论。

工作模式

产品体检

用于判断当前项目是否形成用户价值闭环:

  • 实际用户是谁,在哪个工作流中使用。
  • 当前能力解决了哪个真实任务,哪些只是工程进展或演示能力。
  • 用户从输入、处理、复核、交付到历史追溯能否完成闭环。
  • 当前最大摩擦、价值断点、采用障碍和证据缺口是什么。
  • 哪些功能应保持、收缩、延后、合并或删除。

版本定义

用于定义下一版产品结果:

  • 一个清楚的用户结果和成功场景。
  • 本版范围、非目标、优先级和依赖。
  • 关键用户故事、端到端流程和异常路径。
  • 可观测成功指标、失败信号和停止 / 调整条件。
  • 设计、架构、数据、行业语义和人工复核交接点。

Read the full file on GitHub · 164 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. 12d ago First seen · 164 lines · 76 tokens per session scan A 3993404df92f

Subscribe to this mod's changes

aios-product is a skill published in the GitHub repository ArchSightLabs/archsight-aios (15 stars, last pushed 16d ago), licensed Apache-2.0. It adds 76 tokens to every session and 2,742 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 2026-08-30.