hyperframes-cli
The HyperFrames CLI manages the development loop for video compositions, including scaffolding, linting, validation, local previewing, and cloud rendering via AWS Lambda.
Is hyperframes-cli safe to install?
Review the source first: our audit of hyperframes-cli's source files found 34 shell commands, 0 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The tool executes arbitrary shell commands, manages AWS infrastructure via Lambda, and performs file system operations including reading project files and writing video outputs.
How we audit skills: our security review methodology.
Who is this skill for?
Developers building video compositions using the HyperFrames framework.
What can you do with it?
- Scaffolding new video projects
- Validating composition runtime errors and accessibility
- Inspecting timeline motion and layout
- Previewing compositions in the Studio timeline editor
- Rendering video locally or via AWS Lambda
- Verifying sub-composition mounting with snapshots
How good is this skill?
Quality score: 5/10. The documentation is comprehensive, clearly defining the CLI commands, agent conventions, and troubleshooting steps for common pitfalls.
What does the skill file contain?
# HyperFrames CLI Everything runs through `npx hyperframes` unless project instructions specify a local wrapper. Obey the local wrapper exactly. Requires Node.js >= 22 and FFmpeg. ## Workflow 1. **Scaffold** — `npx hyperframes init my-video` (or `capture` from a URL). `init` also checks the installed skills against the latest on GitHub and updates the global set if any are out of date. The `--skip-skills` flag is currently neutered (temporary, while the skills.sh registry catches up), so every `init` runs this check and pulls our latest skills regardless. 2. **Write** — author HTML composit...
Frequently asked questions
How do I verify if my project is correctly configured?
Run npx hyperframes lint and npx hyperframes validate to check for runtime errors and accessibility issues. Use npx hyperframes snapshot to verify sub-composition mounting.
Can I render videos in the cloud?
Yes, use the npx hyperframes lambda suite to deploy a SAM stack and trigger renders on AWS Lambda.
How do I perform edits on a specific element?
Select the element in the Studio interface, then run npx hyperframes preview --context --json --context-fields selection to retrieve the element's metadata for programmatic editing.
What should I do after a successful render?
Verify the output file exists and has a plausible size, then report feedback using npx hyperframes feedback.
Related skills
find-skills
2.3MUsers seeking to extend agent capabilities with specialized tools, workflows, or knowledge packages
The find-skills skill enables agents to search for, discover, and install modular packages from the open agent skills ecosystem using the Skills CLI.
agent-browser
506.7KAI agents and developers requiring programmatic web interaction, exploratory testing, or automation of Electron desktop applications
The agent-browser CLI provides browser automation for AI agents using Chrome or Chromium via CDP. It supports page navigation, form interaction, data extraction, and testing. The tool utilizes accessibility-tree snapshots and element references for interaction.
image-to-video
355.0KDevelopers and users who need to automate video generation from images using the RunComfy platform
The image-to-video skill routes user requests to specific RunComfy animation models based on intent. It selects HappyHorse 1.0 I2V for general animation, Wan 2.7 for custom-voiceover lip-sync, or Seedance 2.0 Pro for multi-modal composition. The skill executes the RunComfy CLI to process inputs and download generated video files.
video-edit
338.7KUsers of the RunComfy CLI who need to automate video editing tasks like restyling, background swapping, or motion transfer
The video-edit skill acts as a router for the RunComfy CLI, selecting between Wan 2.7 Edit-Video, Kling 2.6 Pro Motion Control, and Lucy Edit Restyle models based on user intent to perform video transformations.