Complete toolkit for programmatic video creation with Remotion + React. Covers animations, timing, rendering (CLI/Node.js/Lambda/Cloud Run), captions, 3D, charts, text effects, transitions, and media handling. Use when writing Remotion code, building video generation pipelines, or creating data-driven video templates.
Security Analysis
high confidenceThe skill's files, instructions, and requirements are consistent with a Remotion video toolkit; nothing in the bundle demands unrelated credentials, installs, or system access.
Name/description match the included rule docs and example components. All required capabilities (Remotion, React, Node, optional cloud rendering) are reasonable for programmatic video generation; there are no unrelated environment variables, binaries, or config paths requested.
Runtime instructions and rule files include calls to fetch remote URLs (e.g., calculateMetadata fetching props.dataUrl) and references to third‑party services (Whisper/Deepgram/AssemblyAI, Mediabunny). That network activity is expected for fetching media or transcription, but the agent executing these instructions would contact external endpoints if props or example code provide remote URLs — users should be aware that dynamic metadata and transcription examples introduce external network interactions.
No install specification provided (instruction-only with example code). No arbitrary downloads or archive extraction; risk from install mechanism is low.
The skill declares no required environment variables or credentials, which is proportionate. Some features (serverless rendering, third‑party transcription) will require external cloud accounts or API keys in real use — those are not requested by the skill but will be needed if you follow those examples.
always:false and normal user-invocable/autonomous settings. The skill does not request persistent system privileges or attempt to modify other skills or system settings.
Guidance
This toolkit is internally coherent for building Remotion-based video pipelines. Before using it: 1) review the referenced GitHub repo (SKILL.md gives a URL) to validate source and license; 2) be aware examples may fetch arbitrary URLs (calculateMetadata, media helpers) or call transcription services — you will need to supply any API keys and cloud credentials yourself and should avoid providing secrets you don't want used; 3) run code from unknown authors in an isolated environment (container/VM) if you plan to execute the sample code; and 4) audit any transcribe/upload code paths if you will process sensitive audio/video to avoid unintended external uploads.
Latest Release
v1.4.0
Formatting: bold use case titles, tables for all rule listings, section dividers, cleaner layout
More by @shreefentsar
Published by @shreefentsar on ClawHub
