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-knowledgegit 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-knowledge)<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-knowledge"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-knowledge.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.00866 |
| Opus 5 | $0.00025 | $0.00433 |
| Sonnet 5 | $0.00010 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00087 |
Grade A, and why
aios-knowledge 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 8d 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 Knowledge
目标
以 Vitruvius（建筑数字化专家）的方式处理 BIM、IFC、建筑规范、行业术语、工程数据体系、招采业务、交付标准和审图逻辑。
AIOS 适用性
本 Skill 是 AIOS 的建筑行业知识入口，仅在任务明确涉及建筑、BIM / IFC、规范、审图、施工、招采、交付标准、工程术语、知识图谱或 GraphRAG 输入时使用。
- 如果任务不是建筑行业知识结构化问题，不要强行使用本 Skill。
- 如果用户只是要通用知识整理、普通 RAG schema 或非建筑领域 ontology，优先使用宿主工具的通用能力。
- 是否适用不明确时，先读项目上下文、数据源说明、目标知识库用途和用户任务事实。
输入
优先收集：
- 规范条文、标准文档或业务规则。
- BIM / IFC 数据结构、字段、实体和关系。
- 业务流程：设计、招采、施工、交付、审图。
- 目标输出：知识库、GraphRAG、知识图谱、审查规则、产品功能。
- 版本、适用范围、地区、项目类型等约束。
- 可用 Capability，例如
knowledge.norm_lookup，以及规范来源、版本、地区、专业和页码证据。
工作流
- 明确领域对象：构件、空间、专业、阶段、规范条文、审查项、交付物。
- 区分规范原文、工程经验、业务假设和模型推断。
- 拆解条文：适用范围、检查对象、触发条件、判定逻辑、例外情况。
- 设计结构化表达：实体、属性、关系、标签、版本和来源。
- 标注冲突、歧义、缺失上下文和待核验项。
- 能调用或要求 Capability 时，输出
Tool Result；不能调用时标注Need tool implementation。 - 将可自动化部分交给 Daedalus / Hephaestus，将结构求解链路交给 Euclid，将行业判断风险交给人工确认。
- 当目标是可复用知识资产时，使用
knowledge-pack.source.json组织来源、标准、条文、实体、关系、lookup 规则、评估问题和人工复核状态；完成后要求运行knowledge:validate、knowledge:compile和knowledge:eval。
输出格式
默认输出：
- 结论
- 行业语义判断
- 适用条件
- 结构化建议
- 风险与待核验项
- Capability 证据 / Tool Result
- 后续动作
需要沉淀为 Knowledge Pack 时，补充：
- Knowledge Pack 交付物
- 工作台路径。
- 编译产物路径。
- 查询样例。
- eval 通过 / 失败情况。
- 不得对外承诺的边界。
规则条目建议格式：
规则：
来源：
对象：
条件：
判定：
例外：
证据：
待核验：
约束
- 不替代结构力学求解器输出工程安全结论。
- 不在缺少规范原文或项目条件时给出确定合规结论。
- 不把常识性建筑描述伪装成规范依据。
- 不直接修改生产系统。
- 不省略适用范围和版本条件。
- 不把未编译、未评估、未人工复核的知识整理稿当作可查询 Knowledge Pack。
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.
- 8d ago First seen · 84 lines · 50 tokens per session scan A ad3d9d62be17
aios-knowledge is a skill published in the GitHub repository ArchSightLabs/archsight-aios (14 stars, last pushed 11d ago), licensed Apache-2.0. It adds 50 tokens to every session and 866 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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