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在 OpenClaw 中安装
/install video-production
功能描述
Complete A/B video pipeline — storyboard, Veo 3 batch generation, browser preview with feedback loop, and ffmpeg assembly into final videos. Use when creatin...
安全使用建议
What to check before installing/use:
- Do not trust the registry's 'no env vars' claim: the code requires GOOGLE_API_KEY (and some modules/scripts expect OPENAI_API_KEY). Only provide keys you control and understand the billing implications. Store them in a safe place and avoid using highly privileged or organization-wide keys.
- Inspect scripts/quota_watcher.sh and any notification/integration code (the SKILL.md references texting a "Master" and an Orchestrator that mentions Telegram/iMessage). Confirm it does not post your API keys or project files to external, unknown endpoints or require additional credentials for messaging.
- Run the skill in an isolated environment (dedicated venv, non-privileged account) and review network traffic if possible — the generators download assets from Google/OpenAI and the code writes files to the skill workspace.
- Expect the scripts to create/overwrite files in the project dir (clips/, outputs). Back up anything important first.
- Verify ffmpeg is installed from a trusted source and that the ffmpeg commands used match your needs.
- If you plan to grant this skill to an autonomous agent, be cautious: it can make network API calls and generate/overwrite files. The metadata inconsistency (env vars omitted) reduces transparency; ask the publisher to fix registry metadata and provide a short security note about notification endpoints before using broadly.
Confidence note: assessment is medium because the code appears to implement the described pipeline (not obviously malicious), but the metadata omission and notification/cron references are unexplained and warrant manual inspection.
功能分析
Type: OpenClaw Skill
Name: video-production
Version: 1.0.0
The skill is classified as suspicious due to explicit instructions in `SKILL.md` for the AI agent to establish persistence via a `crontab` entry, and the `scripts/quota_watcher.sh` script, executed by this cron job, performs external communication by sending an iMessage to a hardcoded phone number (+13106509695). This script also sources `~/.zshenv` to access API keys. While the stated purpose is operational (retrying API calls and notifying a 'Master'), the use of system-level persistence and unauthorized external communication channels constitutes high-risk behavior and a form of prompt injection against the agent.
能力评估
Purpose & Capability
Name/description match the code: scripts call Veo (Google GenAI) and DALL·E, build previews, accept feedback, and assemble with ffmpeg — that capability set is coherent with a "video production" skill. However the registry metadata claims no required environment variables while the code and SKILL.md clearly require GOOGLE_API_KEY (and dalle_generator.py requires OPENAI_API_KEY). That metadata omission is an inconsistency worth flagging.
Instruction Scope
Runtime instructions and scripts operate on storyboard.json, feedback.json, and project files (clips/, assets/, timing.json) — all expected. They perform network calls to Google GenAI and OpenAI image endpoints to download generated assets, and call ffmpeg/ffprobe locally. The SKILL.md also instructs adding a cron for a quota watcher that "texts Master"; you should inspect scripts/quota_watcher.sh and any notification code to confirm where credentials or webhook targets are stored and whether it posts to external endpoints. The flow references a helper called "Muffin" (an assistant that suggests prompts) — understand where that runs and what data it receives.
Install Mechanism
No install spec in the registry; SKILL.md recommends creating a Python venv and pip installing google-genai, Pillow, requests. This is a low-risk, conventional setup (no random binary downloads or extract-from-URL).
Credentials
The skill requires API keys (GOOGLE_API_KEY for Veo/GenAI and OPENAI_API_KEY for DALL·E) and the code checks for those. The registry metadata advertised 'no required env vars', which is incorrect and lowers transparency. Also the SKILL.md suggests writing GOOGLE_API_KEY to ~/.zshenv; ensure you understand and trust the remote APIs before storing keys. No other unrelated secrets are requested in the code.
Persistence & Privilege
The skill does not request always:true and will not auto-install itself system-wide. It writes/reads files within its project directory and backs up replaced clips (e.g., .prev.mp4) — expected behavior for a content pipeline. It will call local utilities (ffmpeg, ffprobe, open).
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install video-production - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-production触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Veo 3 AI video pipeline — batch generation, browser preview, A/B testing, and ffmpeg assembly into final cuts.
元数据
常见问题
Video Production 是什么?
Complete A/B video pipeline — storyboard, Veo 3 batch generation, browser preview with feedback loop, and ffmpeg assembly into final videos. Use when creatin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 748 次。
如何安装 Video Production?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-production」即可一键安装,无需额外配置。
Video Production 是免费的吗?
是的,Video Production 完全免费(开源免费),可自由下载、安装和使用。
Video Production 支持哪些平台?
Video Production 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Video Production?
由 omerflo(@omerflo)开发并维护,当前版本 v1.0.0。
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