Generate videos from text prompts using the Jimeng model with adjustable frame counts and asynchronous task handling.

This skill appears to implement the advertised Jimeng video generation, but review the following before installing: - Confirm you trust the external endpoint (maas-openapi.wanjiedata.com) and the skill author; the worker will send your OpenClaw API key to that service. - The code reads your OpenClaw config at ~/.openclaw/openclaw.json to obtain an apiKey but the skill metadata does not declare this; inspect that file to know what credentials are present. - The skill will attempt to pip-install 'requests' at runtime if missing. If you prefer no automatic installs, pre-install dependencies or run in a sandbox/virtualenv. - The skill writes logs (jimeng_log.txt), results (jimeng_result.txt), and a lock file in model/scripts/. Ensure you are comfortable with these files being created and that the directory is writable. - Minor inconsistency: SKILL.md mentions 'veo_result.txt' but the code/README use 'jimeng_result.txt' — a likely typo but worth noting. If you want to proceed safely: run the code in an isolated environment (container or dedicated VM), verify the network traffic to the documented domain, and/or edit the worker to accept an explicit API_KEY environment variable (declared in metadata) instead of reading your home config file.

Type: OpenClaw Skill Name: jimeng-openclaw-video-v1 Version: 1.0.0 The skill bundle provides a legitimate integration for the Jimeng video generation API, allowing users to generate videos from text prompts. It reads the necessary API key from the standard OpenClaw configuration file (~/.openclaw/openclaw.json) and communicates with the provider's API endpoint (maas-openapi.wanjiedata.com). The scripts (jimeng_worker.py and video_interface.py) handle asynchronous task submission, status polling, and result logging as described in the documentation, with no evidence of malicious intent, data exfiltration, or unauthorized access.