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撒大大撒
by
liaolei666
· GitHub ↗
· v1.0.0
· MIT-0
131
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1
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Install in OpenClaw
/install dsadsad
Description
极简的城市实时天气查询技能,支持国内主流城市
README (SKILL.md)
\r \r
简单天气查询 Skill\r
极简的城市天气查询能力,无需API Key,模拟返回天气数据(可替换为真实接口)。\r \r
触发条件\r
当用户输入包含以下关键词时自动触发:\r
- “天气”“气温”“下雨”“刮风”“晴/阴/雨”\r
- “XX城市天气”“今天天气怎么样”\r \r
执行流程\r
- 解析用户输入,提取目标城市名(如“北京”“上海”);\r
- 模拟调用天气接口(可替换为真实API);\r
- 按固定格式返回天气信息;\r
- 若未识别城市,提示用户补充城市名。\r \r
工具调用(模拟版,无依赖)\r
get_weather(city: string)\r
获取指定城市的模拟天气数据\r
- 参数:
city(必填)- 城市名称(如“北京”)\r - 返回:结构化天气信息(气温、天气状况、风力)\r
- 示例:\r
def get_weather(city):\r # 模拟数据,可替换为真实天气API(如高德/百度天气)\r weather_data = {\r "北京": {"temp": "18℃", "status": "晴", "wind": "3级东风"},\r "上海": {"temp": "22℃", "status": "多云", "wind": "2级南风"},\r "广州": {"temp": "28℃", "status": "雷阵雨", "wind": "4级西南风"}\r }\r return weather_data.get(city, {"temp": "未知", "status": "未查询到", "wind": "未知"})
Usage Guidance
This skill is a simple, simulated weather responder and is internally consistent: it asks for nothing and does not install anything. If you or the author later replace the simulated get_weather with real weather APIs, expect to review any added install steps and API keys (e.g., 高德/百度) at that time — those could introduce new risks or require justification. Otherwise it is safe from an internal-coherence perspective.
Capability Analysis
Type: OpenClaw Skill
Name: dsadsad
Version: 1.0.0
The skill bundle is a simple template for a weather query tool. It contains only descriptive metadata and a mock Python function with hardcoded data in SKILL.md. There is no actual code execution, network activity, or data access involved.
Capability Assessment
Purpose & Capability
Name, description, and runtime instructions consistently describe a minimal weather-query skill that returns simulated responses for major domestic cities. Nothing requested (no env vars, no binaries, no config paths) is outside that purpose.
Instruction Scope
SKILL.md only describes parsing user input for a city, returning simulated weather data, and prompting for clarification when the city is missing. It does not instruct the agent to read unrelated files, access other credentials, or exfiltrate data. It notes optional replacement with real APIs but provides no steps to do so.
Install Mechanism
No install spec and no code files are present (instruction-only). This means nothing is written to disk and no external packages are pulled — lowest install risk.
Credentials
The skill declares no required environment variables, credentials, or config paths. This is proportional for a simulated, offline weather skill.
Persistence & Privilege
Skill is not forced-always, is user-invocable, and allows normal autonomous invocation. No requests to modify other skills or system-wide settings are present.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install dsadsad - After installation, invoke the skill by name or use
/dsadsad - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the simple-weather skill.
- Provides concise, real-time weather information for major Chinese cities.
- No configuration or API key required; returns simulated weather data.
- Automatically triggered by weather-related keywords and questions.
- Clearly outlines supported queries and limitations in SKILL.md.
Metadata
Frequently Asked Questions
What is 撒大大撒?
极简的城市实时天气查询技能,支持国内主流城市. It is an AI Agent Skill for Claude Code / OpenClaw, with 131 downloads so far.
How do I install 撒大大撒?
Run "/install dsadsad" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 撒大大撒 free?
Yes, 撒大大撒 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 撒大大撒 support?
撒大大撒 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 撒大大撒?
It is built and maintained by liaolei666 (@liaolei666); the current version is v1.0.0.
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