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图可丽视觉api
by
cutout-pro
· GitHub ↗
· v1.0.0
· MIT-0
243
Downloads
0
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0
Active Installs
1
Versions
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
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tukeli-visual-api - After installation, invoke the skill by name or use
/tukeli-visual-api - 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
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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