高性能视频生成技能包，集成 Sora 和 VEO 模型接口，提供全自动的视频生成、轮询和下载管理。

Before installing: review the Python scripts yourself (veo_worker.py, video_interface.py, hooks.js). Key points to consider: - The skill reads ~/.openclaw/openclaw.json and uses the first apiKey found to call an external API (wanjiedata). If that file contains keys for other services, those keys could be used unintentionally. Create a dedicated provider/apiKey for this skill or modify the code to use a dedicated env var. - The worker will open any URL returned in the streamed response without validation — a malicious or compromised provider could return a harmful URL. Consider removing/validating the auto-open behavior. - The skill spawns detached background processes that run independently; test it in a controlled environment first. - The README/SKILL.md and manifest claim multi-provider integration (Sora) but code only uses one external endpoint — ask the author to clarify which provider is used and to explicitly declare required credentials. If you cannot audit or modify the code, avoid installing it on systems where your OpenClaw config contains sensitive keys you do not want reused, or run it in an isolated environment.

Type: OpenClaw Skill Name: jiege-openclaw-video-v1 Version: 1.2.0 The skill extracts the first available API key from the user's global OpenClaw configuration file (~/.openclaw/openclaw.json) and sends it to a hardcoded third-party endpoint (maas-openapi.wanjiedata.com) in 'veo_worker.py'. This logic is risky because it may inadvertently leak credentials belonging to other providers (e.g., OpenAI or Anthropic) to the 'wanjiedata' service. While the behavior aligns with the stated goal of generating video, the lack of provider-specific key selection and the use of background processes to execute local Python scripts with user-supplied prompts presents a potential for credential misuse.