Video Rough Cut

Use this skill for fast rough-cut cleanup of a single talking-head or voiceover video using the local B-Roll Studio rough-cut pipeline. It uploads one raw vi...

This skill appears to do what it says: it posts a local video to a local B-Roll Studio API, polls the job, and downloads the result. Before installing/using it: (1) fix the path mismatches in SKILL.md (it refers to scripts/run_rough_cut.py and references/*.md but the files are at the root) so the agent can find the bundled script and docs; (2) only run this if you trust the local B-Roll Studio service — the client will upload any file you point it at to the configured base_url (the default is localhost, but base_url can be overridden); (3) confirm you are comfortable the agent can read the input video file (it requires local file access); and (4) if you plan to run this in automated/autonomous mode, ensure it cannot be redirected to a remote base_url you don't control. No credentials are requested by the skill.

Type: OpenClaw Skill Name: video-rough-cut Version: 1.0.0 The skill is a legitimate tool for automating video rough-cuts by interfacing with a local service called B-Roll Studio. The bundled Python script (run_rough_cut.py) uses standard libraries to communicate with a local API (http://localhost/api/v1) for uploading videos, monitoring processing status, and downloading results. There is no evidence of data exfiltration, remote code execution, or malicious prompt injection; all operations are confined to the local environment and align with the stated purpose.