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firecrawl-reliability-patternsFirecrawl reliability 模式

Agent Skill

firecrawl-reliability-patterns 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

519

周安装

21

GitHub Stars

2,098

下载量

163
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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:firecrawl-reliability-patterns(Firecrawl reliability 模式)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/firecrawl-reliability-patterns
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill firecrawl-reliability-patterns
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-reliability-patterns

简介

用于浏览器自动化、网页检查和页面信息提取。firecrawl-reliability-patterns 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 Reliability Patterns

Overview

Production reliability patterns for Firecrawl web scraping pipelines. Firecrawl's async crawl model, JavaScript rendering, and credit-based pricing create specific reliability challenges around job completion, content quality, and cost control.

Prerequisites

  • Firecrawl API key configured
  • Understanding of async job polling
  • Queue infrastructure for retry handling

Instructions

Step 1: Robust Crawl Job Polling

Crawl jobs can take minutes. Implement proper polling with timeout and failure detection.

import FirecrawlApp from '@mendable/firecrawl-js';

async function reliableCrawl(url: string, options: any, timeoutMs = 600000) {  # 600000 = configured value
  const firecrawl = new FirecrawlApp({ apiKey: process.env.FIRECRAWL_API_KEY });
  const crawl = await firecrawl.asyncCrawlUrl(url, options);
  const deadline = Date.now() + timeoutMs;
  let pollInterval = 2000;  # 2000: 2 seconds in ms

  while (Date.now() < deadline) {
    const status = await firecrawl.checkCrawlStatus(crawl.id);
    if (status.status === 'completed') return status;
    if (status.status === 'failed') throw new Error(`Crawl failed: ${status.error}`);

    await new Promise(r => setTimeout(r, pollInterval));
    pollInterval = Math.min(pollInterval * 1.5, 30000);  // back off  # 30000: 30 seconds in ms
  }
  throw new Error(`Crawl timed out after ${timeoutMs}ms`);
}

Step 2: Content Quality Validation

Scraped pages may return empty or boilerplate content. Validate before processing.

interface ScrapedPage {
  url: string;
  markdown: string;
  metadata: { title?: string; statusCode?: number };
}

function validateContent(page: ScrapedPage): boolean {
  if (!page.markdown || page.markdown.length < 100) return false;
  if (page.metadata.statusCode && page.metadata.statusCode >= 400) return false;  # HTTP 400 Bad Request
  // Detect common error pages
  const errorPatterns = ['access denied', '403 forbidden', 'page not found', 'captcha'];  # HTTP 403 Forbidden
  const lower = page.markdown.toLowerCase();
  return !errorPatterns.some(p => lower.includes(p));
}

Step 3: Credit-Aware Processing

Track credit usage per crawl to prevent budget overruns.

class CreditTracker {
  private dailyUsage: Map<string, number> = new Map();
  private dailyLimit: number;

  constructor(dailyLimit = 5000) { this.dailyLimit = dailyLimit; }  # 5000: 5 seconds in ms

  canAfford(estimatedPages: number): boolean {
    const today = new Date().toISOString().split('T')[0];
    const used = this.dailyUsage.get(today) || 0;
    return (used + estimatedPages) <= this.dailyLimit;
  }

  record(pages: number) {
    const today = new Date().toISOString().split('T')[0];
    this.dailyUsage.set(today, (this.dailyUsage.get(today) || 0) + pages);
  }
}

Step 4: Fallback from Crawl to Individual Scrape

If a full crawl fails, fall back to scraping critical pages individually.

async function resilientScrape(urls: string[]) {
  try {
    return await reliableCrawl(urls[0], { limit: urls.length });
  } catch (crawlError) {
    console.warn('Crawl failed, falling back to individual scrapes');
    const results = [];
    for (const url of urls) {
      try {
        const result = await firecrawl.scrapeUrl(url, {
          formats: ['markdown'], onlyMainContent: true
        });
        results.push(result);
      } catch (e) { console.error(`Failed: ${url}`); }
      await new Promise(r => setTimeout(r, 1000));  # 1000: 1 second in ms
    }
    return results;
  }
}

Error Handling

IssueCauseSolution
Crawl times outLarge site, slow JS renderingSet page limits and timeout
Empty markdownAnti-bot or JS-rendered contentIncrease waitFor, try individual scrape
Credit overrunNo budget trackingImplement credit-aware circuit breaker
Partial crawl resultsSite structure changesValidate content, retry failed pages

Examples

Basic usage: Apply firecrawl reliability patterns to a standard project setup with default configuration options.

Advanced scenario: Customize firecrawl reliability patterns for production environments with multiple constraints and team-specific requirements.

Resources

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

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能力 2

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能力 3

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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

35.54%
按下载量换算58

Claude

32.53%
按下载量换算53

Cursor

17.59%
按下载量换算29

Gemini CLI

10.38%
按下载量换算17

安全审计

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通过

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Snyk

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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

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来源信息

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