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Install in OpenClaw
/install testmaibao
Description
查询指定城市的当前天气，包括温度、天气状况及湿度，支持摄氏度和华氏度单位。
Usage Guidance
This skill appears to be a simple, local weather simulator and is internally consistent: it requires no credentials and makes no external network calls. Two practical notes before installing/use: (1) SKILL.md triggered a unicode-control-chars alert — inspect the SKILL.md for invisible characters if you are concerned (they are often harmless formatting artifacts but can be used to manipulate models). (2) The code returns randomized, simulated weather — if you need real-time, authoritative weather data, update the tool to call a real weather API and add the necessary API key (and review that addition for appropriate scoping). Otherwise it is safe for testing and local use.
Capability Analysis
Type: OpenClaw Skill
Name: testmaibao
Version: 1.0.0
The skill is a simple weather query simulator that generates random data for testing purposes. It uses only standard Python libraries (json, random) and contains no network calls, file system access, or malicious instructions in the documentation. Files reviewed: tool.py, skill.md, _meta.json.
Capability Assessment
Purpose & Capability
Name/description promise (query current weather for a city) matches the included code and instructions. The code implements a local, randomized weather simulator and the SKILL.md describes the expected inputs/outputs. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md stays on-topic (describe when to call the tool, input/output schema). Static scan flagged unicode-control-chars in the SKILL.md (possible prompt-injection pattern). The file otherwise contains normal usage instructions and does not instruct reading system files, environment variables, or exfiltrating data.
Install Mechanism
No install spec is provided (instruction-only style). Only Python files are included and requirements.txt notes only standard library; nothing is downloaded or extracted from external URLs.
Credentials
The skill declares no required environment variables, no primary credential, and the code does not access environment variables or external services. The lack of secrets is proportionate to the stated purpose (a mock weather tool).
Persistence & Privilege
Flags show always=false and default autonomous invocation allowed (platform default). The skill does not request persistent system-wide changes or modify other skills' configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install testmaibao - After installation, invoke the skill by name or use
/testmaibao - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
test
Metadata
Frequently Asked Questions
What is test_maibao?
查询指定城市的当前天气，包括温度、天气状况及湿度，支持摄氏度和华氏度单位。 It is an AI Agent Skill for Claude Code / OpenClaw, with 162 downloads so far.
How do I install test_maibao?
Run "/install testmaibao" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is test_maibao free?
Yes, test_maibao is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does test_maibao support?
test_maibao is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created test_maibao?
It is built and maintained by qkainan (@qkainan); the current version is v1.0.0.
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