Agent Skills › shenhao-stu/ohmycaptcha › ohmycaptcha

ohmycaptcha

GitHub

指导部署、配置及集成OhMyCaptcha验证码解决服务，涵盖本地SGLang模型与云端API设置。适用于处理各类验证码任务、自托管服务及API对接场景。

skills/ohmycaptcha/SKILL.md shenhao-stu/ohmycaptcha

Trigger Scenarios

部署或配置OhMyCaptcha服务集成YesCaptcha-style API或Flow2api 创建reCAPTCHA/hCaptcha/Turnstile任务本地部署SGLang模型或云部署获取验证码服务的请求响应示例

Install

npx skills add shenhao-stu/ohmycaptcha --skill ohmycaptcha -g -y

More Options

Use without installing

npx skills use shenhao-stu/ohmycaptcha@ohmycaptcha

指定 Agent (Claude Code)

npx skills add shenhao-stu/ohmycaptcha --skill ohmycaptcha -a claude-code -g -y

安装 repo 全部 skill

npx skills add shenhao-stu/ohmycaptcha --all -g -y

预览 repo 内 skill

npx skills add shenhao-stu/ohmycaptcha --list

SKILL.md

Frontmatter

{
    "name": "ohmycaptcha",
    "description": "Deploy, configure, validate, and integrate the OhMyCaptcha captcha-solving service. Use when working with YesCaptcha-style APIs, flow2api integration, reCAPTCHA\/hCaptcha\/Turnstile task creation, image classification, SGLang local model deployment, Render\/Hugging Face cloud deployment, or OpenAI-compatible multimodal model setup. Also use when the user asks how to self-host a captcha-solving service or wants request\/response examples for OhMyCaptcha."
}

OhMyCaptcha Skill

Operational guidance for deploying and integrating the OhMyCaptcha service.

Model architecture

OhMyCaptcha uses two model backends:

Local model — self-hosted via SGLang/vLLM (e.g. Qwen/Qwen3.5-2B). Handles image recognition and classification tasks. Configured via LOCAL_BASE_URL, LOCAL_API_KEY, LOCAL_MODEL.
Cloud model — remote OpenAI-compatible API (e.g. gpt-5.4). Handles audio transcription and complex reasoning. Configured via CLOUD_BASE_URL, CLOUD_API_KEY, CLOUD_MODEL.

Supported task types (19 total)

Browser-based (12)

RecaptchaV3TaskProxyless, RecaptchaV3TaskProxylessM1, RecaptchaV3TaskProxylessM1S7, RecaptchaV3TaskProxylessM1S9, RecaptchaV3EnterpriseTask, RecaptchaV3EnterpriseTaskM1, NoCaptchaTaskProxyless, RecaptchaV2TaskProxyless, RecaptchaV2EnterpriseTaskProxyless, HCaptchaTaskProxyless, TurnstileTaskProxyless, TurnstileTaskProxylessM1

Image recognition (3)

ImageToTextTask, ImageToTextTaskMuggle, ImageToTextTaskM1

Image classification (4)

HCaptchaClassification, ReCaptchaV2Classification, FunCaptchaClassification, AwsClassification

Local model setup (SGLang)

pip install "sglang[all]>=0.4.6.post1"
# From ModelScope (China):
export SGLANG_USE_MODELSCOPE=true
python -m sglang.launch_server --model-path Qwen/Qwen3.5-2B --port 30000

Then configure OhMyCaptcha:

export LOCAL_BASE_URL="http://localhost:30000/v1"
export LOCAL_MODEL="Qwen/Qwen3.5-2B"

Startup checklist

Install dependencies: pip install -r requirements.txt && playwright install --with-deps chromium
Start local model server (SGLang on port 30000)
Set env vars: LOCAL_BASE_URL, CLOUD_BASE_URL, CLOUD_API_KEY, CLIENT_KEY
Start service: python main.py
Verify: curl http://localhost:8000/api/v1/health
Test: create a reCAPTCHA v3 task against https://antcpt.com/score_detector/ with key 6LcR_okUAAAAAPYrPe-HK_0RULO1aZM15ENyM-Mf

Response rules

Prefer the repository's documented behavior over assumptions.
Use placeholder credentials only. Never expose real secrets.
Be explicit about limitations:
- minScore is compatibility-only
- Task storage is in-memory with 10-min TTL
- reCAPTCHA v2 and hCaptcha may require image classification fallback in headless environments
For deployment help, reference docs/deployment/local-model.md, docs/deployment/render.md, docs/deployment/huggingface.md.
For API usage, reference docs/api-reference.md and the usage guides under docs/usage/.