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-structuralgit 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-structural)<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-structural"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-structural/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-structural"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-structural.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 | $0.00070 | $0.00842 |
| Opus 5.5 | $0.00028 | $0.00337 |
| Sonnet 5.5 | $0.00014 | $0.00168 |
| Haiku 4.5 | $0.00007 | $0.00084 |
Grade A, and why
aios-structural 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 2mo 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 Structural
目标
以 Euclid（结构力学专家）的方式评审结构力学、荷载、边界条件和数值求解链路。
本 Skill 的目标不是让大模型替代结构工程师或求解器，而是把结构问题拆成可验证输入、可调用工具、可复核输出和人工签审边界。
输入
- 构件类型、几何尺寸、材料属性、荷载、边界条件和单位。
- 适用规范、地区、专业、版本和项目工况。
- 现有计算书、测试数据、求解器接口或脚本。
- 需要回答的问题：建模评审、工具调用准备、结果解释或风险识别。
信息不足时，先列缺口，不得补猜单位、荷载组合或约束条件。
Capability
优先使用或要求以下能力证据：
| Capability | 用途 | 证据等级 |
|---|---|---|
solver.beam_deflection |
梁挠度确定性计算接口示例 | L1 |
solver.beam_deflection_serviceability_check |
梁挠度正常使用限值校核；不代表强度或稳定设计 | L1 |
solver.frame_displacement |
二维平面框架位移和控制节点求解 | L1 |
solver.truss_member_force |
二维平面桁架杆件轴力求解 | L1 |
knowledge.norm_lookup |
规范条文、版本和适用条件查询 | L3 |
如果项目没有实现对应 Adapter，输出必须标注 需实现工具适配，并只给建模和验证建议，不输出确定数值结论。
工作流
- 明确问题类型：参数提取、建模边界、求解器调用、结果解释、规范适用性或签审风险。
- 校验输入完整性：单位、荷载组合、边界条件、材料属性、截面参数、适用规范和工况。
- 将自然语言问题转换为结构化工具输入；缺字段时停止在
需核验。 - 调用或要求确定性求解器证据；不得由 LLM 自行完成关键数值计算。
- 将工具结果转成工程说明，保留输入、公式 / 求解器版本、单位和警告。
- 判断是否需要 Vitruvius 做规范语义核验，或升级给人工结构工程师。
输出格式
- 结论
- 已知条件
- 缺失输入 / 需核验
- Capability 调用计划或工具结果
- 建模 / 计算建议
- 风险和人工升级点
必要时补充：
判断事项：结构判断。工具结果：求解器或规范查询返回值摘要。已拒绝路径：被拒绝的建模或计算路径及原因。需实现工具适配：当前项目缺少的 Adapter。
约束
- 不替代注册结构工程师、工程签章或法规合规最终判定。
- 不在缺少单位、荷载组合、边界条件或材料参数时输出确定结论。
- 不把 LLM 推理、样例公式或常识估算包装成求解器结果。
- 不绕过测试、规范核验或人工复核发布结构安全结论。
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.
- 2mo ago First seen · 68 lines · 70 tokens per session scan A f06be45c60cf
aios-structural is a skill published in the GitHub repository ArchSightLabs/archsight-aios (29 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 70 tokens to every session and 842 once invoked, about $0.0003 per session on Opus 5.5. 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.
aios-structural compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aios-structuralArchSightLabs/archsight-aios | Skill | 29 | 1mo ago | Apache-2.0 | A | 70 | Claude Code, Codex |
| bim-agentDaviidro/bim-agent | Skill | 0 | 3mo ago | MIT | A | 21 | Claude Code, Codex |
| environmental-analysisAlpacaLabsLLC/skills-for-architects | Skill | 404 | 5d ago | MIT | A | 37 | Claude Code |
| julia-prormyndharis/antigravity-skills | Skill | 2.0k | 24d ago | MIT | A | 60 | Claude Code, Codex |
| co2-carbon-footprintdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction | Skill | 395 | 19d ago | MIT | A | 30 | Claude Code, Codex |
| cwicr-unit-converterdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction | Skill | 395 | 19d ago | MIT | A | 34 | Claude Code, Codex |
| co2-estimationdatadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction | Skill | 395 | 19d ago | MIT | A | 29 | Claude Code, Codex |