Visual models analyze video to generate reports and highlight frames, provided by the Vidu API.

Extract and analyze keyframes from MP4, MOV, AVI videos to identify themes, generate reports, and provide 3 representative screenshots.

Before installing or enabling this skill: - Confirm ffmpeg/ffprobe are installed and from a trusted package (the script depends on these but the metadata does not declare them). - Verify how Feishu integration is handled on your agent: if the skill expects to send messages via Feishu, ensure appropriate credentials/tokens are present and intentional — the skill metadata does not list any Feishu env vars. - Understand that the 'image' vision analysis will send extracted frames to whatever model/backend the agent is configured to use; do not analyze sensitive or private video content unless you trust that backend. - Review and, if desired, run the included extract_keyframes.sh in a safe test environment to confirm it behaves as expected (it appears benign: it validates input, creates an output dir, clears keyframe files in that dir, and invokes ffmpeg). - Consider asking the skill author (or the registry owner) to update metadata to list required binaries (ffmpeg/ffprobe) and to clarify any required platform credentials (Feishu) before trusting it in production.

Type: OpenClaw Skill Name: vidu-video-analyzer Version: 1.0.1 The skill bundle provides a legitimate workflow for video analysis using ffmpeg to extract keyframes and vision models for content description. The shell script 'scripts/extract_keyframes.sh' performs standard frame extraction as described, and the instructions in 'SKILL.md' are consistent with the tool's stated purpose without any evidence of malicious intent, data exfiltration, or prompt injection.