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langchain-install-authLangChain install auth 搜索

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

563

周安装

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下载量

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:langchain-install-auth(LangChain install auth 搜索)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/langchain-install-auth
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill langchain-install-auth
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill langchain-install-auth

简介

langchain-install-auth 用于辅助安全审计、权限检查、凭据风险和认证流程分析。

  • 适合梳理敏感配置、排查鉴权漏洞或生成安全复核清单,支持主流 Agent 平台。
  • 通过 npx skills add 命令安装,建议结合官方文档理解其搜索与检测机制。
  • 使用时不可直接采纳输出结果,尤其涉及密钥、令牌或生产环境时需验证最小权限与脱敏措施。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

LangChain Install & Auth

Overview

Set up LangChain SDK packages and configure provider authentication. Covers the modular @langchain/* package ecosystem for Node.js/TypeScript and langchain-* packages for Python.

Prerequisites

  • Node.js 18+ or Python 3.9+
  • Package manager (npm/pnpm or pip/poetry)
  • API key from at least one LLM provider (OpenAI, Anthropic, Google)

Instructions

Step 1: Install Core Packages (TypeScript)

set -euo pipefail
# Core + one provider (pick what you need)
npm install @langchain/core @langchain/openai

# Additional providers
npm install @langchain/anthropic          # Claude models
npm install @langchain/google-genai       # Gemini models
npm install @langchain/community          # 100+ community integrations

# Common companions
npm install @langchain/textsplitters      # Text chunking for RAG
npm install @langchain/pinecone           # Pinecone vector store
npm install zod                           # Schema validation (structured output)

Step 2: Install Core Packages (Python)

set -euo pipefail
pip install langchain langchain-core

# Provider packages (install only what you need)
pip install langchain-openai              # ChatOpenAI, OpenAIEmbeddings
pip install langchain-anthropic           # ChatAnthropic
pip install langchain-google-genai        # ChatGoogleGenerativeAI
pip install langchain-community           # Community integrations

Step 3: Configure Authentication

# Create .env file (add to .gitignore!)
cat > .env << 'ENVEOF'
# OpenAI — https://platform.openai.com/api-keys
OPENAI_API_KEY=sk-...

# Anthropic — https://console.anthropic.com/
ANTHROPIC_API_KEY=sk-ant-...

# Google — https://aistudio.google.com/apikey
GOOGLE_API_KEY=AI...

# LangSmith (optional but recommended) — https://smith.langchain.com
LANGSMITH_TRACING=true
LANGSMITH_API_KEY=lsv2_...
LANGSMITH_PROJECT=my-project
ENVEOF

echo '.env' >> .gitignore

Step 4: Verify Connection (TypeScript)

import { ChatOpenAI } from "@langchain/openai";
import { ChatAnthropic } from "@langchain/anthropic";
import "dotenv/config";

// OpenAI
const openai = new ChatOpenAI({ model: "gpt-4o-mini", temperature: 0 });
const res1 = await openai.invoke("Say 'OpenAI connected'");
console.log("OpenAI:", res1.content);

// Anthropic
const anthropic = new ChatAnthropic({ model: "claude-sonnet-4-20250514" });
const res2 = await anthropic.invoke("Say 'Anthropic connected'");
console.log("Anthropic:", res2.content);

Step 5: Verify Connection (Python)

import os
from dotenv import load_dotenv
load_dotenv()

from langchain_openai import ChatOpenAI
from langchain_anthropic import ChatAnthropic

# OpenAI
llm = ChatOpenAI(model="gpt-4o-mini", temperature=0)
print(llm.invoke("Say 'connected'").content)

# Anthropic
llm2 = ChatAnthropic(model="claude-sonnet-4-20250514")
print(llm2.invoke("Say 'connected'").content)

Package Architecture

@langchain/core          # Base abstractions: Runnables, prompts, output parsers
  ├── @langchain/openai  # ChatOpenAI, OpenAIEmbeddings
  ├── @langchain/anthropic  # ChatAnthropic
  ├── @langchain/google-genai  # ChatGoogleGenerativeAI
  ├── @langchain/community  # 100+ integrations
  ├── @langchain/pinecone   # PineconeStore
  ├── @langchain/textsplitters  # RecursiveCharacterTextSplitter
  └── langchain             # High-level: agents, chains, tools

Every @langchain/* package depends on @langchain/core. You never import from langchain directly for base types -- always use @langchain/core for prompts, output parsers, messages, and runnables.

Error Handling

ErrorCauseFix
Cannot find module '@langchain/openai'Package not installednpm install @langchain/openai
AuthenticationError: Incorrect API keyInvalid or missing keyCheck .env and dotenv/config import
Could not import @langchain/coreVersion mismatchEnsure all @langchain/* packages share same minor version
RateLimitErrorQuota exceededCheck provider dashboard, implement backoff
ENOTFOUND api.openai.comNetwork blockedCheck firewall/proxy settings

Troubleshooting Version Conflicts

# Check installed versions (all should share same minor)
npm ls @langchain/core

# Fix version conflicts
npm install @langchain/core@latest @langchain/openai@latest @langchain/anthropic@latest

Resources

Next Steps

After successful auth, proceed to langchain-hello-world for your first chain.

适合场景

01

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.71%
按下载量换算67

Claude

29.16%
按下载量换算53

Cursor

19.39%
按下载量换算35

Gemini CLI

9.56%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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