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Ai Tip From Hwchase17

Name: Ai Tip From Hwchase17
Author: robinyves

作者 Robinyves · GitHub ↗ · v1.0.0 · MIT-0

cross-platform ✓ 安全检测通过

163

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-tip-from-hwchase17

功能描述

Provides AI learning tips by demonstrating how to create custom LangChain agents with structured outputs using Pydantic models.

使用说明 (SKILL.md)

AI Tip from @hwchase17

Description

Automatically generated AI learning skill from curated web and social media sources.

Steps

New in LangChain: You can now easily create custom agents with structured outputs!
from langchain_core.pydantic_v1 import BaseModel, Field
class Joke(BaseModel):
setup: str = Field(description="question to set up a joke")
punchline: str = Field(description="answer to resolve the joke")
llm.with_structured_output(Joke)

Code Examples

from langchain_core.pydantic_v1 import BaseModel, Field

class Joke(BaseModel):
    setup: str = Field(description="question to set up a joke")
    punchline: str = Field(description="answer to resolve the joke")

llm.with_structured_output(Joke)

Dependencies

Python 3.8+
Relevant libraries (see code examples)

安全使用建议

This skill is low-risk and simply shows a LangChain + Pydantic example. If you plan to run the code, install libraries from official sources (pip install from PyPI or the project's docs) and verify package names (e.g., langchain_core) match official packages. Because the skill has no provenance (source/homepage unknown), treat it as an unverified tip rather than authoritative documentation. Never paste secrets or credentials into example code or interactive prompts, and confirm any LLM/agent you connect to is from a trusted provider.

功能分析

Type: OpenClaw Skill Name: ai-tip-from-hwchase17 Version: 1.0.0 The skill bundle contains educational content and code snippets related to LangChain's structured output feature, attributed to @hwchase17. The code in SKILL.md is standard, safe, and aligns with the stated purpose of providing an 'AI Tip' without any malicious or suspicious indicators.

能力评估

✓ Purpose & Capability

The name/description promise (an AI tip about creating LangChain agents with structured outputs) matches the SKILL.md: a short code example showing a Pydantic model and llm.with_structured_output. No unrelated dependencies, credentials, or binaries are requested.

✓ Instruction Scope

SKILL.md contains only a brief code example and description. It does not instruct the agent to read files, access environment variables, call external endpoints, or perform system-level actions outside the example.

✓ Install Mechanism

There is no install spec and no code files beyond the SKILL.md and metadata. This minimizes risk; the only implied requirement is installing Python and the appropriate LangChain/Pydantic libraries if the user chooses to run the snippet.

✓ Credentials

The skill declares no environment variables, credentials, or config paths. That is proportional for a learning/example skill. Note: actually running the example will require installing libraries but not secrets.

✓ Persistence & Privilege

always is false and there are no instructions to modify agent/system configuration or persist credentials. The skill does not request elevated or persistent privileges.

如何使用

确保已安装 OpenClaw（本地或 Docker 部署）
在对话框中输入安装命令：/install ai-tip-from-hwchase17
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-tip-from-hwchase17 触发
根据 Skill 的参数说明提供必要输入，即可获得结构化输出

版本历史

v1.0.0

- Initial release of "AI Tip from @hwchase17" skill. - Shares a curated LangChain tip: easily create custom agents with structured outputs. - Provides step-by-step instructions and a Python code example using Pydantic models. - Lists required dependencies.

元数据

Slug ai-tip-from-hwchase17

版本 1.0.0

许可证 MIT-0

累计安装 0

当前安装数 0

历史版本数 1

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