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Install in OpenClaw
/install canvas-claw
Description
Generate images and videos through AI-video-agent. Supports image create, image remix, video create, and video animate.
README (SKILL.md)
Canvas Claw
Canvas Claw is an OpenClaw skill package that sends generation tasks to AI-video-agent.
Core Capabilities
- 图片生成:
python3 {baseDir}/scripts/generate_image.py --prompt "cinematic portrait" - 参考图生成:
python3 {baseDir}/scripts/generate_image.py --prompt "same character, winter coat" --reference-image "/tmp/char.png" - 文本生成视频:
python3 {baseDir}/scripts/generate_video.py --prompt "a rainy city street at night" - 图片生成视频:
python3 {baseDir}/scripts/generate_video.py --prompt "the character turns and smiles" --first-frame "/tmp/frame.png"
Model Discovery
- 图片模型:
python3 {baseDir}/scripts/image_models.py - 视频模型:
python3 {baseDir}/scripts/video_models.py
Login Helper
python3 {baseDir}/scripts/login.py --base-url "http://localhost:8000" --site-id 10000 --username "demo" --password "secret"
Usage Guidance
This package appears to be a straightforward client/CLI for an AI-video-agent backend. Before installing or running it: (1) Only set AI_VIDEO_AGENT_BASE_URL to a trusted service — local files you pass (reference images, first frames) will be uploaded to that service. (2) Treat AI_VIDEO_AGENT_TOKEN as a secret and avoid pasting it into logs; the bundled login helper prints a token to stdout, which could be captured in terminal history or CI logs. (3) Result URLs returned by the service will be downloaded and saved locally (./output). (4) There is a minor metadata mismatch: the registry notes 'instruction-only', but the package includes a full Python client and scripts — this just means the skill contains code (no installer), not that it reaches out to unexpected endpoints. If you do not trust the AI-video-agent server you configure, do not provide any sensitive local files or tokens.
Capability Analysis
Type: OpenClaw Skill
Name: canvas-claw
Version: 0.1.0
The canvas-claw skill bundle is a legitimate tool designed to interface with an AI video and image generation service. The code is well-structured, follows standard Python practices, and includes comprehensive documentation and tests. While it possesses the capability to upload local files to a user-configured API endpoint (implemented in `canvas_claw/media.py` and used by `generate_image.py` and `generate_video.py`), this behavior is explicitly documented as necessary for features like image remixing and video animation. No evidence of malicious intent, data exfiltration to unauthorized domains, or prompt injection attacks was found.
Capability Assessment
Purpose & Capability
Name/description (image/video generation via AI-video-agent) match the code and declared requirements. Required binary (python3) and required env vars (AI_VIDEO_AGENT_BASE_URL, AI_VIDEO_AGENT_TOKEN, AI_VIDEO_AGENT_SITE_ID) are appropriate and used by the client and scripts.
Instruction Scope
Runtime instructions and scripts make HTTP requests to the configured AI-video-agent endpoints, upload any local files you pass (materialize-binary), and download result URLs into the local ./output directory. This is expected for the stated purpose, but it means any local file path you provide will be read and uploaded to the configured remote service and result URLs will be fetched and written to disk. The login helper prints the token to stdout (convenient but can be leaked via logs).
Install Mechanism
No install/download spec is present; the package is runnable as Python scripts. There is no external archive download or execution-from-remote step in the manifest.
Credentials
Only the AI-video-agent-specific env vars are required. The primary credential is the service token (AI_VIDEO_AGENT_TOKEN). No unrelated secrets or system credentials are requested.
Persistence & Privilege
Skill does not request 'always: true' or modify other skills. It runs as normal user-invocable/autonomous skill and does not attempt to persist or escalate privileges in the provided code.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install canvas-claw - After installation, invoke the skill by name or use
/canvas-claw - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial public release for AI-video-agent phase-one flows
Metadata
Frequently Asked Questions
What is Canvas Claw?
Generate images and videos through AI-video-agent. Supports image create, image remix, video create, and video animate. It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.
How do I install Canvas Claw?
Run "/install canvas-claw" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Canvas Claw free?
Yes, Canvas Claw is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Canvas Claw support?
Canvas Claw is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Canvas Claw?
It is built and maintained by toolok5 (@toolok5); the current version is v0.1.0.
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