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-dailygit 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-daily)<a href="https://agentmods.dev/skills/archsightlabs/archsight-aios/aios-daily"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-daily/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-daily"><img src="https://agentmods.dev/badge/skills/archsightlabs/archsight-aios/aios-daily.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 | $0.00044 | $0.00750 |
| Opus 5 | $0.00022 | $0.00375 |
| Sonnet 5 | $0.00009 | $0.00150 |
| Haiku 4.5 | $0.00004 | $0.00075 |
Grade A, and why
aios-daily 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.
What it actually says
AIOS Daily
目标
本 Skill 是工程现场日报场景的正式短名入口,用于处理用户只说“用 AIOS 整理日报 / 生成施工日报 / 看项目日报”的情况。
它不直接替代写作或复核 Skill,而是先判断任务意图,再路由:
- 从现场口述、项目群记录、照片说明、零散笔记生成施工日报或周报素材:使用
aios-daily-write。 - 审核已有施工日报、抽取问题台账、看资料缺口、识别签证 / 变更线索:使用
aios-construction-daily。 - 同时要求“先整理成日报再复核”:先用
aios-daily-write生成日报草稿,再交回aios-construction-daily做证据链和问题台账复核。
aios-construction-daily 继续保留原有工程施工 / 现场日报领域入口含义;面向新用户时,推荐优先记忆 aios-daily、aios-daily-write 和 aios-construction-daily 这一组入口。
适用场景
- 施工日报、项目日报、周报素材、项目群日报、班组汇报、照片说明和现场口述记录。
- 当日进度、人员机械材料、质量安全、外部检查、图纸问题、协调事项和明日计划。
- AI 生成日报后的人工复核、日报模板质量诊断和问题台账整理。
普通团队日报、行政周报、销售日报或不含工程现场语义的运营摘要,不使用本 Skill。
路由规则
| 用户意图 | 路由到 | 输出方向 |
|---|---|---|
| 从口述、群聊、照片说明或零散笔记生成日报 / 周报素材 | aios-daily-write |
日报 brief、事实抽取表、Markdown 日报草稿、待补资料 |
| 审核已有日报、提取异常、问题台账、资料缺口、签证线索 | aios-construction-daily |
管理摘要、问题台账、模板质量诊断、人工复核事项 |
| 先生成日报再检查 | aios-daily-write -> aios-construction-daily |
先成稿,再做证据链和问题闭环复核 |
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、复核还是混合流程。
- 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
- 不把群聊推断、照片猜测或未确认口述写成已确认现场事实。
- 不在缺少计划基线时判断工期滞后 / 超前。
- 不输出质量验收、安全合规、监理签认、签证成立或索赔成立结论。
- 不绕过
aios-construction-daily把 AI 生成日报标成可直接归档定稿。
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.
- 12d ago First seen · 52 lines · 44 tokens per session scan A c7230f94eaa8
aios-daily is a skill published in the GitHub repository ArchSightLabs/archsight-aios (15 stars, last pushed 16d ago), licensed Apache-2.0. It adds 44 tokens to every session and 750 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.
Other skills, from other repositories
massing-bim
Drive a Massing BIM/AEC project from an AI agent over MCP — read a project's status, records, CDE, KPI and model-quality checks; run standards-compliance, schedule-risk, embodied-carbon, permit- readiness and drawing-QA analyses; author the IFC model with GUID-stable recipes; and draft RFIs. Use when the user asks to…
ara3d-sdk
Use when processing AEC/BIM 3D data in .NET 8 — mesh generation and transformation, SIMD-accelerated math, IFC/STEP/PLY to glTF/GLB/VIM conversion, plugin development. Ara3D-SDK: high-performance .NET 3D geometry and BIM library suite.
elements
Use when generating building information models (BIM) programmatically in C#/.NET — wall, beam, column, floor creation, geometry kernel (BREP/CSG), glTF/IFC/JSON serialization, MEP systems, spatial grids. Hypar Elements: the smallest useful BIM — a cross-platform C# library for creating building elements without…
3d-skills
Use when working with 3D Gaussian Splatting (3DGS), .ply model cleanup/compression/publishing, interactive 360-degree panorama visualization and virtual tours, AEC/BIM 3D data processing, or CSG solid modeling. Index of 5 skills: SuperSplat, Photo-Sphere-Viewer, Ara3D-SDK, Elements, and OpenCSG.NET.
naviscoord-setup
Instalar, actualizar, reparar y verificar NavisCoord en ChatGPT Work de escritorio, Claude Desktop, Claude Code y Codex cuando faltan las herramientas navis o el puente de Navisworks no responde.
bim-agent
BIM Agent — Query and validate Building Information Models (IFC) through natural language.