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Kling Video

作者 Germey · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install acedatacloud-kling-video
功能描述
Generate AI videos with Kuaishou Kling via AceDataCloud API. Use when creating videos from text or images, extending existing videos, or applying motion cont...
使用说明 (SKILL.md)

Kling Video Generation

Generate AI videos through AceDataCloud's Kuaishou Kling API.

Authentication

export ACEDATACLOUD_API_TOKEN="your-token-here"

Quick Start

curl -X POST https://api.acedata.cloud/kling/videos \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"action": "text2video", "prompt": "a cat playing piano on a rooftop at sunset", "model": "kling-v2-5-turbo", "mode": "std", "duration": 5}'

Models

Model Quality Best For
kling-v1 Standard Basic generation, lowest cost
kling-v1-6 Improved Better quality than v1
kling-v2-master High High-quality output
kling-v2-1-master High Improved v2
kling-v2-5-turbo High + Fast Best speed/quality trade-off (recommended)
kling-video-o1 Premium Highest quality

Quality Modes

Mode Speed Cost Use For
std (Standard) Slower Lower Draft/preview
pro (Professional) Faster Higher Final output

Workflows

1. Text-to-Video

POST /kling/videos
{
  "action": "text2video",
  "prompt": "a futuristic city with flying cars",
  "model": "kling-v2-5-turbo",
  "mode": "std",
  "duration": 5,
  "aspect_ratio": "16:9"
}

2. Image-to-Video

Animate a still image. Optionally specify an ending frame.

POST /kling/videos
{
  "action": "image2video",
  "prompt": "the scene slowly comes alive with movement",
  "start_image_url": "https://example.com/scene.jpg",
  "end_image_url": "https://example.com/end-scene.jpg",
  "model": "kling-v2-5-turbo",
  "mode": "pro"
}

3. Extend Video

Continue an existing video with additional seconds.

POST /kling/videos
{
  "action": "extend",
  "video_id": "existing-video-id",
  "prompt": "the camera pulls back to reveal the full landscape",
  "model": "kling-v2-5-turbo"
}

4. Motion Control

Apply precise camera/motion control from an image + reference video.

POST /kling/motion
{
  "image_url": "https://example.com/subject.jpg",
  "video_url": "https://example.com/motion-reference.mp4"
}

Parameters

Parameter Values Description
action "text2video", "image2video", "extend" Generation mode
model See models table Model to use
mode "std", "pro" Quality mode
duration 5, 10 Duration in seconds
aspect_ratio "16:9", "9:16", "1:1" Video aspect ratio
cfg_scale 0–1 Prompt relevance strength
negative_prompt string What to avoid in the video
camera_control object Camera movement parameters
callback_url string Async callback URL

Task Polling

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

States: processingsucceed or failed.

Gotchas

  • duration only supports 5 or 10 seconds
  • end_image_url is only for image2video action — it defines the last frame
  • Motion control (/kling/motion) is a separate endpoint from video generation
  • pro mode costs roughly 2x std mode but generates faster with better quality
  • Task states use "succeed" (not "succeeded") — check for this value when polling
  • negative_prompt helps avoid unwanted elements (e.g., "blurry, low quality, text")
安全使用建议
This skill appears to be a straightforward instruction-only wrapper for AceDataCloud's Kling API, but the published metadata omits the required ACEDATACLOUD_API_TOKEN—ask the publisher to update the manifest to declare that primary credential before installing. Treat any token you provide as sensitive: use least-privilege or short-lived credentials if possible. Be cautious with the callback_url parameter: if you allow the agent to set arbitrary callback URLs, results or uploaded media could be sent to third-party endpoints. Verify the API domain (api.acedata.cloud), the skill owner identity, and any privacy/terms for uploading video content before use.
功能分析
Type: OpenClaw Skill Name: acedatacloud-kling-video Version: 1.0.0 The skill bundle provides documentation and instructions for an AI agent to interact with the AceDataCloud Kling video generation API. The content in SKILL.md and _meta.json is purely functional, detailing API endpoints (api.acedata.cloud), authentication via environment variables, and request parameters for video generation tasks without any evidence of malicious intent, data exfiltration, or prompt injection attacks.
能力评估
Purpose & Capability
The skill's purpose (generate videos via AceDataCloud Kling) matches the curl examples and endpoints in SKILL.md, so capabilities align; however the published registry metadata lists no required environment variables or primary credential while the SKILL.md explicitly states 'Requires ACEDATACLOUD_API_TOKEN'. That manifest/metadata omission is an incoherence and should be fixed before trusting the skill.
Instruction Scope
SKILL.md contains concrete HTTP examples and parameter definitions limited to the stated API endpoints (POST to api.acedata.cloud). It does not instruct reading unrelated local files. Note: the documented 'callback_url' parameter can be set to arbitrary endpoints by the caller; if an agent or user supplies an attacker-controlled callback, uploaded/generated media or task results could be sent to a third-party URL.
Install Mechanism
Instruction-only skill with no install steps or downloaded code — lowest install risk.
Credentials
The runtime instructions require ACEDATACLOUD_API_TOKEN, which is proportional for API access, but the skill registry metadata did not declare this required environment variable or a primary credential. The missing declaration reduces transparency and prevents proper permission review.
Persistence & Privilege
No special persistence requested (always:false). Default autonomous invocation is allowed (platform default) but the skill does not request persistent system-wide changes or access to other skills' config.
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-kling-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /acedatacloud-kling-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: Easily generate AI videos using Kuaishou Kling via AceDataCloud API. - Supports text-to-video, image-to-video, video extension, and motion control workflows. - Multiple video models and quality modes available for different speed, cost, and quality needs. - Authentication via ACEDATACLOUD_API_TOKEN environment variable required. - Clear documentation for endpoints, parameters, and usage examples provided.
元数据
Slug acedatacloud-kling-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

Kling Video 是什么?

Generate AI videos with Kuaishou Kling via AceDataCloud API. Use when creating videos from text or images, extending existing videos, or applying motion cont... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 103 次。

如何安装 Kling Video?

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

Kling Video 是免费的吗?

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

Kling Video 支持哪些平台?

Kling 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 Kling Video?

由 Germey(@germey)开发并维护,当前版本 v1.0.0。

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