Video Content Operator

Help creators decide what video content to make, how to package it for platforms, select source material, and plan their next content moves.

This skill is internally coherent for producing content operating recommendations. Before installing, note that it will (if used as intended in 'main' sessions) read local OpenClaw memory files (MEMORY.md and USER.md) to infer creator context — check those files for sensitive information you would not want read. The extract_creator_context script defaults to /Users/fischer/.openclaw/workspace (a hardcoded, user-specific path); you should confirm the agent will use the correct workspace path for your account or prefer to provide an explicit input payload (via --input) rather than letting the skill auto-read local memory. The skill does not request credentials or make network calls in the included code, but you should (1) review your memory files for secrets before enabling proactive memory reads, (2) run the scripts in a sandbox if you want to see their behavior locally, and (3) consider asking the author to parameterize the workspace path or document when/where memory will be accessed.

Type: OpenClaw Skill Name: video-content-operator Version: 0.1.0 The skill bundle is a content strategy tool designed to help creators plan video content. The included Python scripts (extract_creator_context.py, content_operator.py, and build_execution_brief.py) are used for parsing local workspace files (MEMORY.md, USER.md) and processing JSON data to generate recommendations. There is no evidence of data exfiltration, network activity, shell execution, or malicious prompt injection; the code and instructions are entirely aligned with the stated purpose of creator operations.