🌪️ S2 Atmos Perception — 实用工具

v1.0.9

和 space weather (NOAA) perception organ 用于 AI Agents.

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by @spacesq (MilesXiang)·MIT-0
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License
MIT-0
最后更新
2026/3/22
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OpenClaw
安全
high confidence
The skill's code, runtime instructions, and resource needs match its stated purpose (fetching weather, AQI, and NOAA space‑weather data) and do not request disproportionate privileges or secrets.
安全有层次,运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发,无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.92026/3/21

s2-atmos-perception 1.0.9 - Replaced s2_sensor_array.py with atmos.py, streamlining codebase. - SKILL.md revised: clarified privacy rule, simplified agent/admin instructions, and updated terminology (e.g., "environmental_insights" instead of "s2_actuation_suggestions"). - Updated tags and metadata; removed redundant privacy-focused language and unnecessary tags. - Improved agent guidance: no automatic device actions, stronger user-consent requirements. - General documentation and feature summary improvements.

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安装命令

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官方npx clawhub@latest install s2-atmos-perception
🇨🇳 镜像加速npx clawhub@latest install s2-atmos-perception --registry https://cn.longxiaskill.com

技能文档

Welcome to the S2 Atmos Perception. This is the specialized atmospheric and meteorological sensory organ of the S2-SP-OS.

Features

ATMOS Tensor: Real-时间 outdoor temperature, humidity, wind, 和 AQI (通过 official 打开-Meteo Air Quality API). AURA Tensor: NOAA Space Weather data 对于 geomagnetic storms. * Environmental Insights: Intelligent reasoning based 在...上 real weather data.


Instructions 对于 AI Agents (CRITICAL)

Privacy Rule: 您 必须 explicitly ask 用户 对于 location 如果 's 不 在...中 context.

Execution (Agent Mode): bash python3 atmos.py --location "" --mode agent

Handling Environmental Insights: If the returned JSON contains environmental_insights:

Share the insight with the user.

Propose the recommended_action to the user as friendly advice.

Do NOT attempt to execute physical device commands automatically from this tool.

Instructions for Human Admins Bash

python3 atmos.py --location "San Francisco" --mode human

数据来源:ClawHub ↗ · 中文优化:龙虾技能库