Token导航 LogoToken导航TokenDH.com
前端设计敏感数据github未标认证来源可访问许可证需确认审计通过

firecrawl-multi-env-setupfirecrawl 多环境设置

Agent Skill

firecrawl-multi-env-setup 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

612

周安装

25

GitHub Stars

2,078

下载量

198
CodexClaudeCursorGemini CLI

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:firecrawl-multi-env-setup(firecrawl 多环境设置)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/firecrawl-multi-env-setup
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill firecrawl-multi-env-setup
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 firecrawl-multi-env-setup

简介

用于浏览器自动化、网页检查和页面信息提取。firecrawl-multi-env-setup 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

  • 适合在需要让 Agent 打开页面或验证前端流程时使用。
  • 支持 Codex、Claude、Cursor 等宿主环境。
  • 通过 GitHub 安装,建议查看原始 README 了解具体用法。
  • 注意可能触发联网、命令执行或文件读写操作。

SKILL.md

Firecrawl Multi-Environment Setup

Overview

Firecrawl's credit-based pricing model makes environment separation critical. Development should use conservative crawl limits to avoid burning production credits during testing.

Prerequisites

  • Firecrawl account with API key from firecrawl.dev
  • Optional: self-hosted Firecrawl instance for development
  • Understanding of credit consumption model (1 credit = 1 page scraped)

Environment Strategy

EnvironmentAPI KeyCrawl LimitConcurrencyCredit Budget
DevelopmentDev key or self-hosted10 pages max1Minimal
StagingStaging key100 pages max2Limited
ProductionProd keyConfigured per taskFullMonitored

Instructions

Step 1: Configuration Structure

// config/firecrawl.ts
import FirecrawlApp from "@mendable/firecrawl-js";

type Env = "development" | "staging" | "production";

interface FirecrawlConfig {
  apiKey: string;
  apiUrl?: string;              // override for self-hosted
  maxPagesPerCrawl: number;     // hard limit per crawl job
  maxDepth: number;
  concurrency: number;
  waitFor: number;              // ms to wait for JS rendering
}

const configs: Record<Env, FirecrawlConfig> = {
  development: {
    apiKey: process.env.FIRECRAWL_API_KEY_DEV || "fc-localdev",
    apiUrl: process.env.FIRECRAWL_API_URL_DEV, // point to self-hosted if available
    maxPagesPerCrawl: 10,         // strict limit in dev to protect credits
    maxDepth: 2,
    concurrency: 1,
    waitFor: 2000,  # 2000: 2 seconds in ms
  },
  staging: {
    apiKey: process.env.FIRECRAWL_API_KEY_STAGING!,
    maxPagesPerCrawl: 100,
    maxDepth: 3,
    concurrency: 2,
    waitFor: 3000,  # 3000: 3 seconds in ms
  },
  production: {
    apiKey: process.env.FIRECRAWL_API_KEY_PROD!,
    maxPagesPerCrawl: 500,        // per-task limit, set lower for specific jobs  # HTTP 500 Internal Server Error
    maxDepth: 5,
    concurrency: 5,
    waitFor: 3000,  # 3 seconds in ms
  },
};

export function getFirecrawlConfig(): FirecrawlConfig {
  const env = (process.env.NODE_ENV || "development") as Env;
  return configs[env] || configs.development;
}

export function getFirecrawlClient(): FirecrawlApp {
  const cfg = getFirecrawlConfig();
  return new FirecrawlApp({
    apiKey: cfg.apiKey,
    ...(cfg.apiUrl ? { apiUrl: cfg.apiUrl } : {}),
  });
}

Step 2: Self-Hosted Firecrawl for Development

# docker-compose.dev.yml - Run Firecrawl locally in dev
version: "3.8"
services:
  firecrawl:
    image: mendableai/firecrawl:latest
    ports:
      - "3002:3002"  # 3002 = configured value
    environment:
      - USE_DB_AUTHENTICATION=false
      - PORT=3002

Set FIRECRAWL_API_URL_DEV=http://localhost:3002 and any API key in .env.local to use local instance with no credit consumption.

Step 3: Credit-Aware Scraping Wrapper

// lib/firecrawl-service.ts
import { getFirecrawlClient, getFirecrawlConfig } from "../config/firecrawl";

export async function safeScrape(url: string, options?: any) {
  const firecrawl = getFirecrawlClient();
  const cfg = getFirecrawlConfig();

  return firecrawl.scrapeUrl(url, {
    formats: ["markdown"],
    onlyMainContent: true,
    waitFor: cfg.waitFor,
    ...options,
  });
}

export async function safeCrawl(url: string, customLimit?: number) {
  const firecrawl = getFirecrawlClient();
  const cfg = getFirecrawlConfig();

  const limit = Math.min(customLimit ?? cfg.maxPagesPerCrawl, cfg.maxPagesPerCrawl);

  return firecrawl.asyncCrawlUrl(url, {
    limit,
    maxDepth: cfg.maxDepth,
    scrapeOptions: { formats: ["markdown"], onlyMainContent: true },
  });
}

Step 4: Environment Variable Setup

# .env.local (development)
FIRECRAWL_API_KEY_DEV=fc-dev-abc123
FIRECRAWL_API_URL_DEV=http://localhost:3002  # 3002: optional self-hosted

# GitHub Actions - Staging environment
FIRECRAWL_API_KEY_STAGING=fc-staging-def456

# GitHub Actions - Production environment
FIRECRAWL_API_KEY_PROD=fc-prod-xyz789

Step 5: CI/CD Pipeline Integration

# .github/workflows/deploy.yml
jobs:
  test-scraping:
    environment: staging
    env:
      FIRECRAWL_API_KEY_STAGING: ${{ secrets.FIRECRAWL_API_KEY_STAGING }}
      NODE_ENV: staging
    steps:
      - run: node scripts/test-firecrawl.js
        # Uses staging config: 100-page limit, staging API key

  deploy:
    environment: production
    env:
      FIRECRAWL_API_KEY_PROD: ${{ secrets.FIRECRAWL_API_KEY_PROD }}
      NODE_ENV: production

Error Handling

IssueCauseSolution
Credits depleted in devNo page limit in dev configAlways set maxPagesPerCrawl: 10 for development
Self-hosted not respondingDocker container not runningCheck docker-compose up firecrawl
402 Payment RequiredProduction credits exhaustedMonitor credit balance before large jobs
Different results per envwaitFor mismatchStandardize JS wait time or test with prod settings

Examples

Check Active Configuration

import { getFirecrawlConfig } from "./config/firecrawl";

const cfg = getFirecrawlConfig();
console.log(`Max pages: ${cfg.maxPagesPerCrawl}, depth: ${cfg.maxDepth}`);
console.log(`API URL: ${cfg.apiUrl || "https://api.firecrawl.dev"}`);

Budget Check Before Large Crawl

set -euo pipefail
# Check current credit balance
curl -s "https://api.firecrawl.dev/v1/team/credits" \
  -H "Authorization: Bearer $FIRECRAWL_API_KEY_PROD" | jq .credits_remaining

Resources

Next Steps

For deployment configuration, see firecrawl-deploy-integration.

Output

  • Configuration files or code changes applied to the project
  • Validation report confirming correct implementation
  • Summary of changes made and their rationale

适合场景

01

用户想查找某类 Agent Skill 时

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

按任务关键词查找相关 Skills

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

34.2%
按下载量换算68

Claude

31.67%
按下载量换算63

Cursor

19.4%
按下载量换算38

Gemini CLI

10.71%
按下载量换算21

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

继续浏览同类 Skills