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germey

Kling Video

by Germey · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install acedatacloud-kling-video
Description
Generate AI videos with Kuaishou Kling via AceDataCloud API. Use when creating videos from text or images, extending existing videos, or applying motion cont...
README (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")
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install acedatacloud-kling-video
  3. After installation, invoke the skill by name or use /acedatacloud-kling-video
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug acedatacloud-kling-video
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Kling Video?

Generate AI videos with Kuaishou Kling via AceDataCloud API. Use when creating videos from text or images, extending existing videos, or applying motion cont... It is an AI Agent Skill for Claude Code / OpenClaw, with 103 downloads so far.

How do I install Kling Video?

Run "/install acedatacloud-kling-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Kling Video free?

Yes, Kling Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Kling Video support?

Kling Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Kling Video?

It is built and maintained by Germey (@germey); the current version is v1.0.0.

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