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-schemegit 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-scheme)<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-scheme"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-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.
<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-scheme"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-scheme.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 | $0.00043 | $0.00735 |
| Opus 5 | $0.00022 | $0.00367 |
| Sonnet 5 | $0.00009 | $0.00147 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
aios-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 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.
What it actually says
AIOS Scheme
目标
本 Skill 是专项施工方案场景的正式短名入口，用于处理用户只说“用 AIOS 看施工方案 / 危大工程方案 / 专家意见”的情况。
它不直接替代写作或审核 Skill，而是先判断任务意图，再路由：
- 生成、编写、改写、优化施工方案章节：使用
aios-scheme-write。 - 审核、复核、查危险源、查计算书缺口、回查专家意见：使用
aios-scheme-audit。 - 同时要求“先复核再改写”：先用
aios-scheme-audit建立复核清单，再用aios-scheme-write改写，最后交回aios-scheme-audit做审核门禁。
aios-construction-scheme 继续保留原有工程施工 / 专项方案领域入口含义；面向新用户时，推荐优先记忆 aios-scheme、aios-scheme-write 和 aios-scheme-audit 这一组更短的任务型入口。
适用场景
- 专项施工方案、危大工程方案、施工组织设计中的专项章节和技术措施。
- 深基坑、高支模、脚手架、起重吊装、钢结构、幕墙、机电安装、混凝土浇筑、防水等工程方案。
- 专家论证意见、审批意见、计算书目录、技术交底资料和 AI 方案编制试用反馈。
普通行政制度、非建筑作业指导书和不含工程语义的流程文档，不使用本 Skill。
路由规则
| 用户意图 | 路由到 | 输出方向 |
|---|---|---|
| 危险源、交底要点、规范核验、计算书缺口、专家意见回查 | aios-scheme-audit |
复核清单、危险源台账、资料缺口、人工复核岗位 |
| 方案生成、章节改写、历史方案复用、专家意见回写 | aios-scheme-write |
Markdown 工作母版、写作 brief、素材复用表、方案章节初稿 |
| 先复核现稿再优化 | aios-scheme-audit -> aios-scheme-write -> aios-scheme-audit |
先列问题，再改写，再审核 |
输出要求
路由判断要简短，但必须说明：
- 资料类型。
- 当前任务属于写作、审核还是混合流程。
- 推荐使用的 Skill。
- 需要人工复核的岗位。
- 不能由 AI 直接下结论的事项。
约束
- 不输出方案合格 / 不合格、计算正确、专家论证通过或审批通过。
- 不替代总工、专家、监理、安监、审批主体或结构计算工具。
- 不绕过
aios-scheme-audit把 AI 生成稿标成可直接交付定稿。
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 · 51 lines · 43 tokens per session scan A c3a1b8026215
aios-scheme is a skill published in the GitHub repository ArchSightLabs/archsight-aios (14 stars, last pushed 14d ago), licensed Apache-2.0. It adds 43 tokens to every session and 735 once invoked, about $0.0002 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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