Poker Clip

Automatically cuts poker tournament videos into complete hand clips in vertical 9:16 format with subtitles and unique hooks for TikTok/YouTube Shorts.

This skill appears to do what it says (detect hands, transcribe, cut clips, overlay subtitles/hooks) but contains inconsistencies and some buggy/sloppy code. Before running it: 1) Don’t run it on sensitive videos or on a machine with sensitive data. 2) Confirm and install required software: Python 3.10+, ffmpeg on PATH, and the whisper transcription package (pip install openai-whisper or equivalent). 3) Inspect the scripts locally — several helper scripts the docs mention are missing, and poker_clipper.py contains at least one coding mistake (an undefined variable in the trailing-hand code path), so expect bugs. 4) If you need larger transcription models, ask the maintainer whether those are local models or cloud APIs (which would require API keys). 5) Run the skill in an isolated/test workspace (or VM/container) first. If you’re unsure, request the maintainer to: update registry metadata to list ffmpeg/whisper as requirements, provide the missing helper scripts (or remove references), and fix the obvious code issues before you install.

Type: OpenClaw Skill Name: pokerclip Version: 1.0.0 The pokerclip skill bundle is a legitimate tool designed to automate the transcription and clipping of poker videos for social media. It uses the OpenAI Whisper library for speech-to-text and FFmpeg for video processing. The scripts (poker_clipper.py, gen_hooks.py, patch_hooks.py) follow a logical workflow for detecting hand boundaries and overlaying subtitles. While fix_paths.py performs self-modification of other scripts to update hardcoded directory paths, this is clearly intended for environment portability rather than malice. No evidence of data exfiltration, unauthorized network access, or malicious prompt injection was found.