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Luma Video

作者 Germey · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install acedatacloud-luma-video
功能描述
Generate AI videos with Luma Dream Machine via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, extendi...
使用说明 (SKILL.md)

Luma Video Generation

Generate AI videos through AceDataCloud's Luma Dream Machine API.

Authentication

export ACEDATACLOUD_API_TOKEN="your-token-here"

Quick Start

curl -X POST https://api.acedata.cloud/luma/videos \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "a drone flying over a mountain lake at sunrise", "action": "generate", "wait": true}'

Workflows

1. Text-to-Video

Generate video purely from a text description.

POST /luma/videos
{
  "prompt": "a timelapse of flowers blooming in a garden",
  "action": "generate",
  "aspect_ratio": "16:9",
  "loop": false,
  "enhancement": true
}

2. Image-to-Video

Use start and/or end reference images to guide generation.

POST /luma/videos
{
  "prompt": "the scene comes alive with gentle wind",
  "action": "generate",
  "start_image_url": "https://example.com/scene.jpg",
  "end_image_url": "https://example.com/scene-end.jpg",
  "aspect_ratio": "16:9"
}

3. Extend a Video

Continue an existing video with a new prompt.

POST /luma/videos
{
  "action": "extend",
  "video_id": "existing-video-id",
  "prompt": "the camera continues forward through the forest"
}

Aspect Ratios

Ratio Use Case
16:9 Landscape (default) — YouTube, TV
9:16 Portrait — TikTok, Instagram Stories
1:1 Square — Social media
4:3 Classic — Presentations
21:9 Ultra-wide — Cinematic

Parameters

Parameter Type Default Description
prompt string Text description of the video (required)
action string "generate" "generate" or "extend"
aspect_ratio string "16:9" Video aspect ratio
loop bool false Create seamless loop
enhancement bool true Enhance prompt for better results
start_image_url string Reference image for first frame
end_image_url string Reference image for last frame
video_id string Required for extend action

Task Polling

POST /luma/tasks
{"task_id": "your-task-id"}

Poll every 5 seconds. States: pendingcompleted or failed.

MCP Server

pip install mcp-luma

Or hosted: https://luma.mcp.acedata.cloud/mcp

Key tools: luma_generate_video, luma_generate_video_from_image, luma_extend_video

Gotchas

  • enhancement: true (default) improves prompt quality but may alter your intent — set to false for literal prompts
  • Start/end image URLs must be publicly accessible
  • loop: true creates seamless looping video — good for backgrounds and social media
  • Extend requires the video_id from a previously completed generation
  • Video generation takes 1–5 minutes depending on complexity
  • Both start and end images are optional — you can use just one for partial guidance
安全使用建议
This skill appears to be a straightforward set of instructions for calling AceDataCloud's Luma API, but there are two things to check before you use it: (1) the SKILL.md requires an ACEDATACLOUD_API_TOKEN even though the registry metadata omits that — ensure you only supply a token you obtained from a trusted AceDataCloud source and that the token has least privilege; (2) the skill is from an unknown/unnamed source and references a domain (api.acedata.cloud) and an optional pip package (mcp-luma) — verify the vendor, review the pip package code or its official repository, and confirm pricing/privacy terms. Also be aware that image-to-video mode requires publicly accessible image URLs (which can expose those images), and any API calls will transmit your prompt and referenced URLs to the AceDataCloud service. If you cannot verify the publisher or the package, treat the token as sensitive and avoid reuse of high-privilege credentials.
功能分析
Type: OpenClaw Skill Name: acedatacloud-luma-video Version: 1.0.0 The skill bundle provides documentation and integration instructions for the AceDataCloud Luma Video API. It contains standard API usage examples, parameter definitions, and references to a related MCP server (mcp-luma) without any evidence of malicious intent, data exfiltration, or harmful prompt injections in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The SKILL.md clearly requires an ACEDATACLOUD_API_TOKEN to call https://api.acedata.cloud, which is coherent with the stated purpose. However, the registry metadata lists no required environment variables or primary credential — that mismatch is an integrity problem (metadata understates what will be needed).
Instruction Scope
Runtime instructions are limited to calling the AceDataCloud Luma endpoints (curl POSTs) and optionally installing/using a separate mcp-luma helper. The doc does not instruct reading unrelated files, broad system state, or other env vars. It does expect public image URLs for image-to-video workflows.
Install Mechanism
There is no install spec and no code files (lowest disk-write risk). The doc suggests optionally running `pip install mcp-luma` or using a hosted MCP server — installing a third-party pip package introduces typical supply-chain risk and should be reviewed, but the skill itself does not auto-install anything.
Credentials
The SKILL.md requires a single API token (ACEDATACLOUD_API_TOKEN), which is proportional for a cloud API integration. The concern is that the registry metadata incorrectly lists no required env vars or primary credential — this inconsistency can hide the fact that a secret is needed and transmitted to api.acedata.cloud.
Persistence & Privilege
The skill is instruction-only, does not request persistent installation, and 'always' is false. It does allow normal autonomous invocation (platform default), but there is no indication it modifies other skills or system settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install acedatacloud-luma-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /acedatacloud-luma-video 触发
  4. 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 of Luma Video Generation skill. - Generate AI videos via AceDataCloud Luma Dream Machine API. - Supports text-to-video, image-to-video, and video extension from existing clips. - Includes authentication, detailed parameter options, and aspect ratio presets. - Provides example workflows and quick start instructions. - Environment variable ACEDATACLOUD_API_TOKEN required for use.
元数据
Slug acedatacloud-luma-video
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Luma Video 是什么?

Generate AI videos with Luma Dream Machine via AceDataCloud API. Use when creating videos from text prompts, generating videos from reference images, extendi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 126 次。

如何安装 Luma Video?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install acedatacloud-luma-video」即可一键安装,无需额外配置。

Luma Video 是免费的吗?

是的,Luma Video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Luma Video 支持哪些平台?

Luma 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 Luma Video?

由 Germey(@germey)开发并维护,当前版本 v1.0.0。

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