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-scheme-auditgit 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-audit)<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-scheme-audit"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-scheme-audit/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-audit"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-scheme-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00060 | $0.01831 |
| Opus 5 | $0.00030 | $0.00915 |
| Sonnet 5 | $0.00012 | $0.00366 |
| Haiku 4.5 | $0.00006 | $0.00183 |
Grade A, and why
aios-scheme-audit 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AIOS Scheme Audit
目标
以 Vitruvius(建筑数字化专家)的方式整理专项施工方案,把方案文本拆成可复核的工程对象、工序控制点、危险源、交底要点和人工复核清单。
本 Skill 是审核型能力,不负责生成完整施工方案正文。需要生成、改写或复用历史方案素材时,使用 aios-scheme-write;生成后必须回到本 Skill 做危险源、规范 / 计算书、专家意见和交底要点门禁。
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,推荐优先使用更短的 aios-scheme-audit。
本 Skill 不替代总工审查、专家论证、危大工程审批、结构计算、施工许可或安全验收。涉及结构力学、承载、稳定、变形或安全系数的数值结论必须交给 Euclid 和确定性求解器或项目计算书。
AIOS 适用性
本 Skill 仅用于建筑工程专项施工方案、技术措施、质量安全方案和班组交底资料。
- 深基坑、模板支撑、脚手架、起重吊装、钢结构、幕墙、机电安装、混凝土浇筑、防水等施工方案,启用本 Skill。
- 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。
- 如果任务要求最终合规结论、危大工程审查结论或结构安全结论,必须升级人工专家和确定性工具。
输入
优先收集:
- 专项施工方案、工程概况、图纸说明、计算书、专家论证意见和审批表。
- 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、场地和环境约束。
- 资料定位:文件名、版本、日期、页码、章节、图号、表号或段落。
- 用户关注点:危险源、关键工序、交底、规范核验、计算书缺口、专家复核项。
- 可用 Knowledge Pack 或
knowledge.norm_lookup查询输入;如存在,应优先使用其引用、版本、适用性和仲裁状态,不得只靠模型常识判断规范口径。
基础版模式
用于工程业务资料处理、项目复核辅助、部门工作流整理或模板沉淀时,按本节收口。可复制的基础提示词见 prompts/basic-prompt.md。
最小可用输入:
- 脱敏后的专项施工方案片段、工程概况、施工工艺、安全措施、专家修改说明、AI 方案编制试用反馈或计算书目录。
- 文件名、版本、日期、章节 / 页码 / 图号 / 表号。
- 用户要复核的问题,例如危险源、交底要点、专家意见回查、计算书缺口、AI 生成失准原因。
- 人工复核岗位,例如技术负责人、总工、安全负责人、质量负责人、专家或资料员。
基础输出优先级:
- 全程使用“AI 辅助施工方案复核”口径,不使用“AI 审查施工方案”。
- 如资料是 AI 方案编制试用反馈,先输出 AI 生成失准原因复盘,再给后续资料包和回查清单建议。
- 如资料包含专家论证修改说明,先拆成回查点,再回查正文、附图、计算书和验收要求是否有对应依据。
- 不输出“合格 / 不合格 / 已通过审查”,不确认计算正确,不替代总工、专家或审批主体。
标准详版报告与输出自检
短指令触发本 Skill 时,默认输出标准详版报告,不要压缩成摘要。标准详版报告必须包含:资料来源清单、主分析表 / 清单 / 台账、资料缺口、人工复核岗位、AI 不应下结论事项、输出自检。
最小详度要求:
- 资料足够时,关键工序与控制点、危险源与控制措施或规范 / 计算书 / 专家复核清单至少展开 3 条可定位事项;资料不足时,列出全部可定位事项并说明不足原因。
- 主分析表必须保留“事项 / 类型 / 方案原文 / 证据 / 工具结果 / 处理建议 / 建议复核岗位”等字段,不得只写概括段落。
- 输出自检必须逐项确认是否包含资料来源、主分析表 / 清单 / 台账、资料缺口、人工复核岗位、AI 不应下结论事项;缺一项时先补齐再结束。
Capability 与证据
- 每个危险源、控制措施和交底要点必须绑定方案原文证据。
- 涉及规范条文、地方规程、强制性要求或危大工程判断时,调用或要求
knowledge.norm_lookup;如果有已编译 Knowledge Pack,应记录knowledgePackPath、命中条文、sourceVersion和applicability;没有工具结果时标注需核验。 - 涉及力学计算、承载力、稳定、变形、荷载或边界条件时,不得口算;输出
处理建议:转 Euclid 结构复核,并要求aios-structural或项目计算书证据。 - Agent 冲突或证据缺失按中文化的
判断事项 / 证据 / 工具结果 / 处理建议输出。
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.
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.
- 12d ago First seen · 114 lines · 60 tokens per session scan A 661de57004be
aios-scheme-audit is a skill published in the GitHub repository ArchSightLabs/archsight-aios (15 stars, last pushed 16d ago), licensed Apache-2.0. It adds 60 tokens to every session and 1,831 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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