Extract key frames or short clips from videos for analysis and editing.
This skill appears to be an open-source local ffmpeg-based video frame extraction tool with no keys and no remote endpoints disclosed, so overall risk is low. Its main capability is local script execution with read access to specified video files and write access to output images, which is normal local-tool behavior; given the very high community adoption, no concrete red flags are evident.
The materials explicitly state that no keys or environment variables are required, and there is no indication of credential collection, storage, or forwarding, so credential leakage or misuse risk is low.
The materials declare no remote endpoints, and the described function is purely local frame extraction via ffmpeg, with no evidence of sending user data over the network.
The README shows it invokes a local script at {baseDir}/scripts/frame.sh and relies on ffmpeg to process videos, which is standard local process execution. This normal capability warrants caution around input handling and command wrapping, but the materials do not show requests for system privileges beyond the stated function.
Based on the examples, the tool needs to read a user-specified video file path and write JPG/PNG files to a specified output path; this is the minimum local file access needed for frame extraction. There is no sign of broad directory crawling, persistent database access, or other excessive permissions.
The source is an open-source GitHub repository with extremely high community adoption (about 377k stars), and the code is in principle auditable; these are strong risk-reducing signals. Although the license is not declared and maintenance status is unknown, the current materials do not show concrete red flags such as closed-source exfiltration, provenance issues, or malicious injection.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "video-frames" skill from askskill: 1. Download https://raw.githubusercontent.com/openclaw/openclaw/main/skills/video-frames/SKILL.md 2. Save it as ~/.claude/skills/video-frames/SKILL.md 3. Reload skills and tell me it's ready
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First frame:
{baseDir}/scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg
At a timestamp:
{baseDir}/scripts/frame.sh /path/to/video.mp4 --time 00:00:10 --out /tmp/frame-10s.jpg
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