本文へ移動
cccskills
無料GitHub で公開

captcha-relay

Human-in-the-loop CAPTCHA solving with two modes: screenshot (default, zero infrastructure) and token relay (requires network access). Screenshot mode captures the page with a grid overlay, sends it to the human, and injects clicks based on their reply. Token relay mode detects CAPTCHA type + sitekey, serves the real widget on a relay page for native solving, and injects the token via CDP.

インストール方法を見る

含まれるファイル(20)

  • SKILL.md3.6 KB
  • _meta.json458 B
  • ARCHITECTURE.md4.2 KB
  • browser-relay-cli.js981 B
  • fallback/screenshot.js5.2 KB
  • index.js5.4 KB
  • lib/browser-relay.js7.9 KB
  • lib/cdp.js2.8 KB
  • lib/detect.js2.8 KB
  • lib/inject.js4.5 KB
  • lib/server.js2.6 KB
  • lib/templates/browser-relay.html7.5 KB
  • lib/templates/hcaptcha.html1.8 KB
  • lib/templates/recaptcha-v2.html1.9 KB
  • lib/templates/turnstile.html1.8 KB
  • lib/tunnel.js4.2 KB
  • package-lock.json17.2 KB
  • package.json443 B
  • README.md4.0 KB
  • TAILSCALE.md3.0 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

CAPTCHA Relay v2

Solve CAPTCHAs by relaying them to a human. Two modes available.

Modes

Screenshot Mode (default) — No infrastructure needed

Grid overlay screenshot → send image to human via Telegram → human replies with cell numbers → inject clicks.

  • Zero setup beyond the skill itself. No Tailscale, no tunnels, no relay server.
  • Works for any CAPTCHA type (reCAPTCHA, hCaptcha, sliders, text, etc.)
  • Uses sharp for image processing + CDP for screenshots and click injection.
node index.js                       # screenshot mode (default)
node index.js --mode screenshot     # explicit
node index.js --screenshot          # legacy alias
const { solveCaptchaScreenshot } = require('./index');
const capture = await solveCaptchaScreenshot({ cdpPort: 18800 });
// capture.imagePath — annotated screenshot to send to human
// capture.prompt — text prompt for the human

Token Relay Mode — Requires network access

Detects CAPTCHA type + sitekey → serves real widget on relay page → human solves natively → token injected via CDP.

  • Requires Tailscale or a tunnel (localtunnel/cloudflared) so the human's device can reach the relay server.
  • Produces a proper CAPTCHA token — more reliable for reCAPTCHA v2, hCaptcha, Turnstile.
  • Best when you have Tailscale already set up.
node index.js --mode relay              # with localtunnel
node index.js --mode relay --no-tunnel  # with Tailscale/LAN
const { solveCaptcha } = require('./index');
const result = await solveCaptcha({ cdpPort: 18800, useTunnel: false });
// result.relayUrl — URL to send to human
// result.token — solved CAPTCHA token

When to Use Each

ScenarioMode
Quick & easy, no setupscreenshot
Any CAPTCHA type (sliders, text, etc.)screenshot
Known CAPTCHA with sitekey (reCAPTCHA, hCaptcha, Turnstile)relay
Tailscale already configuredrelay
No network access to hostscreenshot

CLI Flags

FlagDefaultDescription
--mode screenshot|relayscreenshotSelect solving mode
--screenshot—Alias for --mode screenshot
--no-injectinjectReturn token without injecting into browser
--no-tunneltunnelSkip tunnel, use local/Tailscale IP (relay mode)
--timeout N120Timeout in seconds
--cdp-port N18800Chrome DevTools Protocol port

Agent Workflow

Screenshot mode (simplest)

  1. Call solveCaptchaScreenshot({ cdpPort })
  2. Send capture.imagePath to human via message tool with capture.prompt
  3. Human replies with cell numbers (e.g. "1,3,5,7")
  4. Call injectGridClicks(cdpPort, capture, selectedCells) to click those cells

Relay mode

  1. Call solveCaptcha({ useTunnel: false }) (Tailscale) or solveCaptcha() (tunnel)
  2. Send result.relayUrl to human via message tool
  3. Wait — resolves when human completes the CAPTCHA
  4. Token is auto-injected; continue automation

Requirements

  • Chrome/Chromium with --remote-debugging-port=18800
  • Node.js 18+ and npm install (deps: ws, sharp)
  • Relay mode only: Tailscale or internet for tunnel

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

0protocol

無料

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

0xarchive

無料

Query historical crypto market data from 0xArchive across Hyperliquid, Lighter.xyz, and HIP-3. Covers orderbooks, trades, candles, funding rates, open interest, liquidations, and data quality. Use when the user asks about crypto market data, orderbooks, trades, funding rates, or historical prices on Hyperliquid, Lighter.xyz, or HIP-3.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Design, build, deploy, and operate production AI agent systems — single agents, multi-agent teams, and autonomous swarms. Complete methodology from agent architecture through orchestration, memory systems, safety guardrails, and operational excellence.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Design, build, test, document, and secure production-grade APIs. Covers the full lifecycle from schema design through deployment, monitoring, and versioning. Use when designing new APIs, reviewing existing ones, generating OpenAPI specs, building test suites, or debugging production issues.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

Turn your AI agent into a business automation architect. Design, document, implement, and monitor automated workflows across sales, ops, finance, HR, and support — no n8n or Zapier required.

日本語の概要は準備中です。原文の説明を表示しています。

johnalbertini14-glitch/openclaw-skills22026年2月26日 更新

johnalbertini14-glitch のスキルをすべて見る

このスキルの問題を報告する