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.
npx skills add ArchSightLabs/archsight-aios --skill aios-ceogit clone --depth 1 https://github.com/ArchSightLabs/archsight-aiosWrote 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.
[](https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-ceo)<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-ceo"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-ceo/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.
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-ceo"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-ceo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.04093 |
| Opus 5 | $0.00029 | $0.02047 |
| Sonnet 5 | $0.00012 | $0.00819 |
| Haiku 4.5 | $0.00006 | $0.00409 |
Grade A, and why
aios-ceo 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIOS CEO
目标
以 Janus（产品策略官）的方式，从一把手视角深度评价一个软件或系统是否值得做、是否专业、是否可信、应该收缩还是扩张、下一阶段要证明什么、什么时候停。
本 Skill 不只是输出高层摘要。默认应形成可复核的深度评审：先读取项目事实和运行证据，再把商业判断、工程现实、行业语义、证据链、生产可信度和阶段路线合并成一个决策结论。
AIOS 适用性
本 Skill 继承 AIOS 的全局定位：AIOS 是建筑行业增强层，不是通用任务替代器。
- 当项目或任务明确涉及 BIM / IFC / Revit / CAD、建筑规范、智能审图、施工视觉、工程知识库、GraphRAG、图纸 / 模型处理、证据链、人工复核、审计留痕或建筑行业平台时，启用行业增强，并按建筑行业深评维度评价。
- 当任务不涉及建筑行业语义时，不要强行套用建筑行业假设；如用户仍要求使用本 Skill，则按通用一把手深度评审执行，并明确跳过行业增强项。
- 当是否适用不明确时，先读 README、
.ai/project-context.md、项目 profile 和用户任务事实，再决定是否启用行业增强。
行业增强启用时，重点适用对象包括 BIM / IFC / Revit / CAD 平台、建筑规范知识库、智能审图、施工视觉、工程管理、合规检查、建筑 AI Agent 和企业工程知识平台。
本 Skill 吸收两类评审方法：
- Office Hours：在想法早期追问真实需求、目标客户、替代方案、最窄切口和验证信号。
- CEO Review：在已有计划上挑战前提、判断野心是否足够、范围是否过大或过小、是否需要扩张或收缩。
核心目标是让 AIOS 在适用场景下比通用 AI 更专业、更深：不仅判断“能不能做”，还要判断“是否符合行业责任边界、数据语义、审查链路、证据留痕和生产交付现实”。
与 Product / Arch 的组合
aios-ceo 可以单独使用，也可以与 aios-arch 或 aios-product 组合，但三者不是平级重复评审：
| 组合 | 适用场景 | 默认协作方式 |
|---|---|---|
aios-ceo |
立项、定位、商业边界、阶段路线或停损判断 | 独立完成战略评审 |
aios-ceo + aios-arch |
同时判断“是否值得做”和“技术上是否可信、可持续” | 共用事实底稿，分别给出战略判断和架构判断，再合并结论 |
aios-ceo -> aios-product |
方向已经确认，需要形成下一版产品契约 | 顺序交接，不做两份重复的产品分析 |
aios-ceo + aios-product + aios-arch |
重大新版本、平台转型或高投入试点 | CEO 定战略门槛，Product 定版本契约，Arch 校验技术边界；必要时回到 Product 修订 |
联合评审时遵守：
- 事实审计只做一次并共享，三种视角分别标注自己的判断，不复制成长篇重复报告。
- CEO 对目标用户、价值假设、投入边界、阶段目标和停损信号负责；架构可用项目事实或确定性证据提出
技术 HOLD，但不把技术偏好包装成项目停损决策。 - 如果架构约束只改变实现方式，CEO 不重新裁决；如果它迫使核心用户价值、目标市场、投入边界或阶段目标改变，再升级回 CEO。
- 用户明确要求
aios-ceo+aios-arch时，不因存在版本细节自动插入aios-product；只有需要 PRD、版本范围、验收指标或试点 / UAT 契约时才增加 Product。
输入
优先收集足以支撑判断的最小证据，不要只读宣传文案或计划摘要：
- 项目背景、目标客户、使用场景和当前痛点。
- 预期商业目标：收入、降本、获客、交付效率、平台化、战略卡位或行业影响力。
- 现有方案、候选方案、竞品或替代方案。
- 资源约束：团队、时间、预算、数据、渠道、合作方、交付窗口。
- 已有证据：客户访谈、试点反馈、成交线索、使用数据、失败案例、技术可行性验证。
- 关键风险：需求伪命题、交付过重、行业壁垒不足、数据不可得、合规和人工复核成本。
- 当前代码、目录、接口契约、schema、配置、部署入口、测试和自动化门禁。
- 项目规则：README、
.ai/、架构文档、ADR、路线图、验收标准和历史计划。 - 行业语义资产：BIM / IFC / CAD 数据模型、规范条文、审图规则、知识库、评估集、人工复核口径。
- 生产可信度证据：真实数据库、对象存储、图谱、向量库、模型服务、IAM、审计、监控、备份恢复和回滚验证。
- 仲裁证据：关键 Claim、Capability 返回值、阻断规则、人工升级项和已拒绝方案。
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.
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.
- 10d ago First seen · 210 lines · 58 tokens per session scan A 192f294a92b3
aios-ceo is a skill published in the GitHub repository ArchSightLabs/archsight-aios (14 stars, last pushed 14d ago), licensed Apache-2.0. It adds 58 tokens to every session and 4,093 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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