ohmycaptcha
GitHub提供OhMyCaptcha验证码解决服务的部署、配置与集成指南,涵盖本地SGLang模型搭建、云API对接及19种任务类型支持。
触发场景
安装
npx skills add shenhao-stu/ohmycaptcha --skill ohmycaptcha -g -y
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 viaLOCAL_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 viaCLOUD_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 key6LcR_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:
minScoreis 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.mdand the usage guides underdocs/usage/.
版本历史
- 0b543d5 当前 2026-08-16 15:42


