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cutout-pro

图可丽视觉api

by cutout-pro · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
243
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1
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Install in OpenClaw
/install tukeli-visual-api
Description
调用图可丽(Tukeli)视觉处理 API,实现通用抠图、人脸变清晰、AI背景更换三项能力。支持文件上传、图片URL两种输入方式,返回二进制流或Base64编码结果。AI背景更换为异步接口,需先提交任务再查询结果。
Usage Guidance
This skill appears to do what it says (calls Tukeli's image APIs) but the package metadata failed to declare the required API key. Before installing: (1) confirm you obtained a TUKELI_API_KEY from the real tukeli.net site and are comfortable providing it; (2) run the code in an isolated environment if you are unsure about the API domain (picupapi.tukeli.net) and verify the domain is legitimate; (3) ensure your .env file is not checked into source control; (4) inspect scripts/tukeli.py and config.py yourself (they are small and readable) to verify no extra exfiltration; and (5) ask the publisher/registry to update the skill metadata to explicitly require TUKELI_API_KEY so the platform can surface the secret requirement during installation.
Capability Analysis
Type: OpenClaw Skill Name: tukeli-visual-api Version: 1.0.0 This skill bundle provides a legitimate interface for the Tukeli (图可丽) image processing API, supporting tasks like background removal, face enhancement, and AI-generated backgrounds. The implementation in `scripts/tukeli.py` and `scripts/config.py` follows standard practices, using the `requests` library to interact with the official API endpoint (picupapi.tukeli.net) and managing API keys through environment variables or a `.env` file. No evidence of malicious intent, unauthorized data access, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
The skill's name/description (image matting, face enhancement, AI background) match the implementation: network calls to picupapi.tukeli.net and local file handling. However, the registry metadata lists no required environment variables or primary credential, while both SKILL.md and the code clearly require TUKELI_API_KEY. The omission of this required secret from metadata is inconsistent and reduces visibility of the credential requirement.
Instruction Scope
Runtime instructions and code are focused on image processing: they read an API key from environment or a .env file, validate local image files, POST/GET to the documented API domain, and save outputs + metadata to data/outputs. There are no instructions to read unrelated system files or to send data to third-party endpoints beyond the documented API domain.
Install Mechanism
No install script is provided; the only runtime dependency is the well-known 'requests' Python package. The skill is instruction/code-only and does not download or execute code from external arbitrary URLs during install.
Credentials
The code requires a single API credential (TUKELI_API_KEY) and may reference an optional TUKELI_MAX_IMAGES_PER_DAY env var in docs, but the skill metadata declares no required env vars or primary credential. Requiring an API key is reasonable for a remote API integration, but failing to declare it in registry metadata is misleading and reduces the platform's ability to prompt users for secrets securely.
Persistence & Privilege
The skill does not request elevated platform privileges and does not set always:true. It writes outputs and metadata into its own data/outputs directory and does not modify other skills or global agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tukeli-visual-api
  3. After installation, invoke the skill by name or use /tukeli-visual-api
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of tukeli-visual-api — a toolset for image processing via Tukeli's visual API. - Provides automatic background removal, face enhancement, and AI-based background generation. - Supports both file upload and image URL as inputs; returns results as binary or Base64. - AI background change is asynchronous: submit a task, then query the result. - Flexible usage scenarios: quickly remove backgrounds, improve face images, or apply AI-generated backgrounds. - Detailed command-line interface and usage examples included. - Limits, supported formats, billing, and integration guides documented.
Metadata
Slug tukeli-visual-api
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 图可丽视觉api?

调用图可丽(Tukeli)视觉处理 API,实现通用抠图、人脸变清晰、AI背景更换三项能力。支持文件上传、图片URL两种输入方式,返回二进制流或Base64编码结果。AI背景更换为异步接口,需先提交任务再查询结果。 It is an AI Agent Skill for Claude Code / OpenClaw, with 243 downloads so far.

How do I install 图可丽视觉api?

Run "/install tukeli-visual-api" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 图可丽视觉api free?

Yes, 图可丽视觉api is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 图可丽视觉api support?

图可丽视觉api is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 图可丽视觉api?

It is built and maintained by cutout-pro (@cutout-pro); the current version is v1.0.0.

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