Video Podcast Maker

Use when user provides a topic and wants an automated video podcast created, OR when user wants to learn/analyze video design patterns from reference videos...

This skill appears to do what it claims (create video podcasts and learn visual design patterns), but there are a few things to watch before you install or run it: 1) Auto-update (git pull): The skill checks upstream and can pull updates into its own directory. It asks the user before pulling, but pulled updates change code that will later run on your machine — treat this like installing third‑party code on demand. Only allow updates if you trust the repository source. 2) Embedded deployment material: The repo contains an onyx_data/deployment README referencing a curl|install.sh flow (downloads a script from raw.githubusercontent.com). Those install instructions are present in the repo but are not automatically executed by the skill. Do NOT run those remote-install commands unless you review the script first. 3) Credentials/environment variables: The metadata declares AZURE_SPEECH_KEY as the primary credential, which is reasonable for Azure TTS. The README and code support many optional TTS backends (ElevenLabs, OpenAI, Volcengine, CosyVoice, Google). If you set those API keys in your environment, the skill may use them when configured — only provide keys you are comfortable sharing with this tool and consider using scoped keys. 4) Install ambiguity: The metadata lists an installer kind 'uv' for edge-tts — this is ambiguous. Confirm how edge-tts will be installed in your runtime (pip? other). Also, Playwright/browser capture is marked experimental and may require additional browser binaries; the SKILL.md does not declare those requirements explicitly. 5) Run in isolation: Because the skill runs arbitrary subprocesses (ffmpeg, npx remotion, ffprobe) and can modify files under its skill directory, run it in an isolated or disposable environment (container, VM, dedicated project directory) the first time. Inspect the code (especially any scripts that perform curl/downloads or execute external installers) before granting network access or API keys. 6) Verify remotion-best-practices dependency: The SKILL.md mandates invoking remotion-best-practices first. Confirm that skill’s source and trustworthiness, because this skill relies on it for core behavior. What would increase confidence: explicit installer steps that match typical package managers (pip/apt/brew) with no ambiguous 'uv' installer, explicit declaration of all optional env vars in metadata, and removal (or clearer documentation) of the onyx_data remote-install references. If you want, I can point out the specific files/lines that implement the auto-update, the curl references, and the code paths that read optional env vars so you can inspect them directly.

Type: OpenClaw Skill Name: video-podcast-maker Version: 2.0.0 The skill bundle contains a functional video podcast creation tool but includes a highly irregular and unrelated directory 'onyx_data' containing Docker deployment files for the 'Onyx' (formerly Danswer) project. These files (specifically onyx_data/deployment/docker-compose.yml) include high-risk configurations such as mounting the host's Docker socket ('/var/run/docker.sock') and running services with root privileges, which could lead to host compromise if executed. Additionally, SKILL.md implements a self-update mechanism using 'git fetch' and 'git pull', creating a potential vector for remote code execution if the source repository is compromised. The inclusion of an entire unrelated enterprise application's deployment infrastructure within a specific content creation skill is a significant red flag for supply chain integrity.