wanjie-openclaw-video

Generate videos via natural language with automatic task monitoring, dependency management, timeout cleanup, and background processing for high-performance V...

This skill will run a detached Python worker, auto-install the requests package if missing, read your ~/.openclaw/openclaw.json and send whatever apiKey it finds to a third-party API (https://maas-openapi.wanjiedata.com). Before installing: (1) don't use your primary provider keys — create and place a dedicated API key for this Veo service in a separate config or modify the code to read an explicit env var; (2) inspect or run the code offline to verify it uses the intended key; (3) be cautious because the worker will auto-open the first URL returned by the service in your browser; and (4) if you need stricter control, ask the author to change the code to accept a declared environment variable (e.g., WANJIE_API_KEY) instead of reading ~/.openclaw/openclaw.json and to avoid auto-opening URLs or running pip installs automatically.

Type: OpenClaw Skill Name: wanjie-openclaw-video-v1-0-1 Version: 1.0.0 The skill is a functional video generation tool designed for the Wanjie (万界) platform. It intercepts user messages via hooks.js and spawns a background Python worker (veo_worker.py) to handle video generation. The worker retrieves an API key from the standard OpenClaw configuration file (~/.openclaw/openclaw.json) and communicates with a legitimate API endpoint (maas-openapi.wanjiedata.com). While the documentation in SKILL.md mentions a Windows Task Scheduler for automation that is not implemented in the provided code, the overall behavior is transparent and aligned with the stated purpose. High-risk actions like process spawning and config reading are justified by the tool's requirements for background processing and authentication.