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ceac-visa-status-checker

Automatically check U.S. visa application status in CEAC (NIV), solve CEAC captcha with Zhipu vision model, and return structured status JSON. Use this when...
自动查询美国签证申请状态(CEAC NIV),使用智谱视觉模型自动识别CEAC验证码,并返回结构化状态JSON。适用于需要批量或自动化查询签证进度的场景。
xavierjiezou xavierjiezou 来源
未分类 clawhub v1.0.0 1 版本 100000 Key: 需要
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概述

CEAC Visa Status Checker (Zhipu Captcha)

This skill checks U.S. visa application status from CEAC and uses Zhipu vision model to read captcha.

Required User Fields

  • LOCATION: visa application location text in CEAC (example: CHINA, BEIJING)
  • NUMBER: Application ID or Case Number (example: AA0020AKAX)
  • PASSPORT_NUMBER: passport number
  • SURNAME: first letters of surname as used in CEAC
  • ZHIPU_API_KEY: API key for captcha OCR

Optional:

  • ZHIPU_MODEL_VISION (default: glm-4v-flash)
  • MAX_RETRIES (default: 5)
  • RETRY_DELAY_SECONDS (default: 5)

Location help:

  • See references/LOCATION.md

Workflow

  1. Ensure dependencies are installed from requirements.txt.
  2. Create .env based on .env.example.txt.
  3. Run scripts/check_ceac_status.py.
  4. Return JSON output to user.

Commands

Install:

python -m pip install -r requirements.txt

Run:

python scripts/check_ceac_status.py

Output Contract

On success:

  • success: true
  • status: CEAC status text
  • case_last_updated: CEAC last updated date
  • description: CEAC message
  • application_num: returned case number

On failure:

  • success: false
  • error/message/last_error

Notes

  • Captcha recognition may fail occasionally. The script retries automatically.
  • LOCATION must match CEAC location dropdown text. Fuzzy match is attempted.
  • Keep API keys in environment variables. Avoid hardcoding secrets in scripts.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-03-31 05:50 安全 安全

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腾讯云安全 (Keen)

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腾讯云安全 (Sanbu)

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