Skillget

skills

skill
Guvenlik Denetimi
Uyari
Health Uyari
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 6 GitHub stars
Code Gecti
  • Code scan — Scanned 8 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool provides AI task definitions (called "Skills") for multimedia generation and processing. It enables compatible coding assistants to generate and edit images and videos using the TensorsLab AI models.

Security Assessment
The tool requires an API key for authentication, which is stored locally or configured via environment variables. It inherently makes external network requests to the TensorsLab API to process media generation tasks. However, a light code scan of 8 files found no hardcoded secrets, no dangerous code patterns, and no requests for overly broad system permissions. Overall risk is rated as Low for the code itself, though standard caution applies whenever sending prompts and media to a third-party cloud API.

Quality Assessment
The repository is highly active, with its most recent code push occurring today. Despite active maintenance, the project currently has very low community visibility with only 6 GitHub stars, meaning it has not been extensively peer-reviewed. A major concern for enterprise or open-source distribution is the complete lack of a designated software license. Without a license, the code remains under exclusive copyright, technically restricting how developers can legally use, modify, or distribute it.

Verdict
Use with caution: the code is actively maintained and appears safe to run, but you should be aware of data sent to the third-party API and the legal ambiguities of an unlicensed repository.
SUMMARY

TensorLab Skills are AI task definitions for Claude Code, focusing on multimedia generation and processing using TensorsLab's AI models. It provides comprehensive capabilities including text-to-image and image-to-image generation, advanced image editing (avatar generation, watermark removal, object erasure, face replacement), as well as text-to-vid

README.md

English | 中文

TensorLab Skills

TensorLab Skills are AI task definitions for Claude Code, focusing on multimedia generation and processing using TensorsLab's AI models. It provides comprehensive capabilities including text-to-image and image-to-image generation, advanced image editing (avatar generation, watermark removal, object erasure, face replacement), as well as text-to-video and image-to-video generation.

How do Skills work?

Skills are self-contained folders that package instructions, scripts, and resources together for Claude Code to use on specific use cases. Each folder includes a SKILL.md file with YAML frontmatter (name and description) followed by guidance for Claude Code to follow while the skill is active.

Installation

TensorLab skills are compatible with Claude Code.

Claude Code

  1. Register the repository as a plugin marketplace:
/plugin marketplace add https://github.com/tensorslab/skills
  1. To install a skill, run:
/plugin install <skill-name>@https://github.com/tensorslab/skills

For example:

/plugin install tl-image@https://github.com/tensorslab/skills

opencode

use the following command to install skills:

npx skills add tensorslab/skills -g -y

Available Skills

Name Description Documentation
tl-image Generate images using TensorsLab's AI image generation models. Supports text-to-image and image-to-image generation with automatic prompt enhancement, progress tracking, and local file saving. SKILL.md
tl-video Generate videos using TensorsLab's AI video generation models. Supports text-to-video and image-to-video generation with automatic prompt enhancement, progress tracking, and local file saving. SKILL.md

Authorization

Before using TensorsLab skills, you need to authorize. The system will attempt to authorize automatically when you first run a skill.

1. Automatic Authorization (Recommended)

When you first use a skill, it will automatically trigger a browser-based authorization flow. Follow the prompts in your browser to complete the process. Once successful, your credentials will be stored locally in ~/.tensorslab/.env.

2. Manual Configuration (For Cloud/Headless Environments)

If automatic authorization is not possible or fails (e.g., when the agent or openclaw is running in the cloud without a browser, the authorization URL callback will also fail), you must manually set your API key:

  1. Get your API Key at TensorsLab Console.
  2. Set the environment variable in your cloud environment or local terminal:
# Windows (PowerShell)
$env:TENSORSLAB_API_KEY="your-api-key"

# Mac/Linux/Cloud
export TENSORSLAB_API_KEY="your-api-key"

Using Skills

Once a skill is installed, mention it directly while giving Claude Code instructions:

  • "Generate an image of an astronaut on the moon."
  • "Animate this scenery picture into a 10s video."

Claude Code automatically loads the corresponding SKILL.md instructions and helper scripts while completing the task.

References

Browse the latest instructions and scripts at tensorslab/skills.

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