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在 OpenClaw 中安装
/install medeo-video
功能描述
AI-powered video generation skill. Use when the user wants to generate videos from text descriptions, browse video recipes, upload assets, or manage video cr...
安全使用建议
What to check before installing:
- Metadata mismatch: The registry summary omitted required env vars, but SKILL.md and skill.json require MEDEO_API_KEY. Expect to provide a Medeo API key (mk_...). Confirm the marketplace entry lists this clearly.
- Credential access: The Feishu delivery script reads ~/.openclaw/openclaw.json to obtain Feishu appId/appSecret. If you allow this skill, it will access agent-wide channel credentials. Only proceed if you trust the skill source or are willing to restrict Feishu credentials.
- Bot tokens and secrets: Telegram delivery requires TELEGRAM_BOT_TOKEN in environment. Never provide tokens as CLI args (the docs also warn). Use least-privilege tokens where possible and rotate them if you test.
- External downloads / SSRF risk: The skill downloads cover/thumbnail URLs and may download user-provided URLs for upload. Malicious or internal-only URLs could expose internal services or cause the agent to fetch unexpected hosts. Consider sandboxing the skill or restricting allowed destination hosts.
- Local file access: The skill will read local files you ask it to upload. Don't ask it to upload secrets or files outside the intended asset directories.
- Source verification: The skill's README points to a GitHub repo. Verify the repo, check commit history, and prefer installing from an official repo or marketplace entry with a verified publisher.
- Code quality: There are small code issues (e.g., truncated/buggy variable references in the provided snippet). Expect possible runtime errors; test in a controlled environment first.
If you need low risk: run the skill in an isolated environment, or inspect/modify the scripts so they do not read ~/.openclaw/openclaw.json and instead require explicit, per-use credentials you control.
功能分析
Type: OpenClaw Skill
Name: medeo-video
Version: 1.5.2
The skill bundle provides legitimate video generation features but employs high-risk patterns and broad permission requests. Specifically, SKILL.md and scripts/feishu_send_video.py instruct the AI agent to read the master OpenClaw configuration file (~/.openclaw/openclaw.json) to extract sensitive third-party credentials (appId/appSecret). Additionally, medeo_video.py implements prompt manipulation by prepending a hidden 'TIMELINE_INSTRUCTION' to user inputs to control the backend AI's behavior. While these actions are aligned with the stated goal of multi-platform delivery, the practice of having an agent programmatically parse its own master secret store and manipulate user prompts is a significant security risk.
能力标签
能力评估
Purpose & Capability
The skill's name/description match the included scripts and docs: it is a Medeo text→video integration. However there is an inconsistency between the registry 'Requirements' block (which lists no required env vars) and the SKILL.md / skill.json which require MEDEO_API_KEY. The required python3 binary is expected and proportionate for a Python CLI-based skill.
Instruction Scope
Runtime instructions and embedded code read agent-wide config (~/.openclaw/openclaw.json) to obtain Feishu app credentials and instruct the agent to download user-provided URLs and local files. The skill tells the agent to call Feishu APIs directly (using appId/appSecret from openclaw.json) and to download arbitrary cover/thumbnail URLs which can reach external/internal endpoints. These actions go beyond simply talking to the Medeo API and expand the skill's access surface (local config, file system reads, arbitrary outbound HTTP).
Install Mechanism
No remote install or archive downloads are specified — the skill is instruction + bundled scripts, so nothing external is fetched at install time. That lowers install-time risk.
Credentials
The skill requires a Medeo API key (MEDEO_API_KEY) per SKILL.md and skill.json, and the Telegram delivery script requires TELEGRAM_BOT_TOKEN (env) if used. The registry metadata shown earlier omitted these env requirements — a metadata mismatch. Additionally, the code reads ~/.openclaw/openclaw.json to obtain Feishu credentials (appId/appSecret) rather than asking for them explicitly; that gives the skill access to agent-wide channel credentials, which is plausible for sending Feishu messages but should be explicit to the user.
Persistence & Privilege
The skill stores state under ~/.openclaw/workspace/medeo-video/ (config + history) and reads ~/.openclaw/openclaw.json. It does not set always:true, nor request elevated system privileges, but reading the global OpenClaw config exposes channel credentials and is a broader privilege than a strictly self-contained skill. Consider whether the skill should be allowed to read agent-wide config.
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 medeo-video - 安装完成后,直接呼叫该 Skill 的名称或使用
/medeo-video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
v1.5.2
Fixed NULL op_pointer bug causing video generation to get stuck. AI now always calls editor_create_video_clips to complete timeline assembly.
v1.5.1
Security: remove legacy /etc fallback, document Feishu credential dependency, add security notes section
元数据
常见问题
Medeo Video 是什么?
AI-powered video generation skill. Use when the user wants to generate videos from text descriptions, browse video recipes, upload assets, or manage video cr... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 131 次。
如何安装 Medeo Video?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install medeo-video」即可一键安装,无需额外配置。
Medeo Video 是免费的吗?
是的,Medeo Video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Medeo Video 支持哪些平台?
Medeo Video 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 Medeo Video?
由 sunnykui(@sunnykui)开发并维护,当前版本 v1.5.2。
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