Freebeat Music Video Generator

v1.0.2

Generate AI music videos from any MCP client. Turn text prompts into cinematic music videos with multiple styles and modes. Existing features include charact...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for d3ter28/freebeatfit-ai.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Freebeat Music Video Generator" (d3ter28/freebeatfit-ai) from ClawHub.
Skill page: https://clawhub.ai/d3ter28/freebeatfit-ai
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install freebeatfit-ai

ClawHub CLI

Package manager switcher

npx clawhub@latest install freebeatfit-ai
Security Scan
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high confidence
Purpose & Capability
The name/description (AI music/video generation) matches the SKILL.md workflows (upload audio/images, list effects, start async generation, poll status, fetch results). There are no unexpected environment variables, binaries, or install steps that would be incoherent with the stated purpose. Note: the skill assumes platform-provided tooling (upload_audio, generate_music_video, etc.); if those tools are not present on the agent runtime, the workflow will fail.
Instruction Scope
Instructions remain focused on media uploads, parameter validation, async polling, and result retrieval. They do require the agent to accept or handle local file paths or URLs for uploads (the upload_audio/upload_image steps require a file_path or URL). This implies the agent will access user-supplied local files when asked — a privacy consideration but not out-of-scope for the stated purpose. The SKILL.md does not direct the agent to read unrelated system files or environment variables.
Install Mechanism
No install spec or code files are present (instruction-only). This minimizes installer risk because nothing is downloaded or written to disk by the skill itself.
Credentials
The skill declares no required environment variables or credentials, which is consistent with the SKILL.md (it references platform tool calls rather than direct API keys). Users should confirm whether the underlying platform or tools require separate credentials (not declared here) before use.
Persistence & Privilege
always is false and the skill does not request persistent system modifications or broader privileges. Autonomous invocation is enabled (platform default) but that is expected for a usable skill.
Scan Findings in Context
[regex_scanner_no_findings] expected: The scanner had no code to analyze because this is an instruction-only skill (SKILL.md). No additional static indicators were found.
Assessment
This skill appears to do what it says, but before installing: 1) Confirm your agent/platform provides the listed tools (upload_audio, generate_music_video, get_task_status, get_task_result). If those tools are missing, the skill won't work. 2) Be aware that when you provide file paths the agent will access those local files to upload media — only supply files you are comfortable sharing. 3) Check whether the underlying Freebeat/‘MCP’ service requires API keys, billing, or an external account; those credentials are not declared in the skill. 4) Start by testing with non-sensitive, small media files and review where uploaded media/results are stored or published (privacy/retention). 5) If you need stronger assurance, ask the publisher for a homepage or official docs and verify how authentication and data handling are implemented.

Like a lobster shell, security has layers — review code before you run it.

latestvk97b589h1xddanmkwqt5226erh84vx1v
87downloads
0stars
3versions
Updated 2w ago
v1.0.2
MIT-0

Freebeat MCP Workflows

Use this skill for reliable Freebeat MCP task execution with correct tool order and async handling.

Quick Start

  1. Confirm the user goal:
    • generate_effect (template-based effect generation)
    • generate_music_video (MV generation from uploaded audio)
  2. Gather required inputs.
  3. Execute the correct workflow.
  4. Poll task status until terminal state.
  5. Fetch result only after completion.

Tool Map

  • upload_audio: Upload local audio or import from URL. Returns music_id.
  • upload_image: Upload one or two images. Returns image_urls.
  • list_effects: Discover templates and defaults for effect generation.
  • generate_effect: Start async effect generation task.
  • generate_music_video: Start async MV generation task.
  • get_task_status: Poll async task state.
  • get_task_result: Fetch output only when status is completed.

Workflow A: Generate Effect

Preferred order:

  1. Call list_effects.
  2. Select effect_id and collect defaults:
    • default_music_id
    • image_url (default image)
  3. Optional overrides:
    • If user provides custom music, call upload_audio and use returned music_id.
    • If user provides custom image, call upload_image with one image and use image_urls[0].
  4. Call generate_effect with:
    • effect_id (required)
    • music_id (required)
    • prompt (required, trimmed length 1..2000)
    • reference_image_urls (required, exactly one URL)
    • watermark (optional, default false)
  5. Poll with get_task_status until completed or failed.
  6. On completed, call get_task_result and return video_url and cover_url.

Workflow B: Generate Music Video

Preferred order:

  1. Call upload_audio first and capture music_id.
  2. Optional image references:
    • Call upload_image and pass returned image_urls to generate_music_video.reference_image_urls.
  3. Call generate_music_video with:
    • music_id (required)
    • prompt (required, trimmed length 1..2000)
    • Optional: mv_type, style, aspect_ratio, resolution, watermark, start_ms, end_ms, reference_image_urls
  4. Poll with get_task_status until terminal state.
  5. On completed, call get_task_result and return video_url and cover_url.

Async Handling Rules

  • Treat task submission as asynchronous.
  • Continue polling while status indicates in-progress work (for example pending).
  • Status values may be lowercase (pending, completed, failed) and some older systems may use uppercase variants.
  • Do not call get_task_result before status is completed.
  • If get_task_result returns TASK_NOT_COMPLETED, continue polling.
  • On failed, report error_message, error_code, and any backend message from status response.

Input Validation Checklist

Before generation calls, verify:

  • Prompt is present and trimmed length is within 1..2000.
  • For generate_effect, reference_image_urls contains exactly one image URL.
  • For generate_effect, music_id is either default_music_id from list_effects or from upload_audio.
  • For generate_music_video, music_id comes from upload_audio.
  • For upload_audio, provide exactly one of file_path or url.

Response Format Guidelines

When reporting progress or final outputs, include:

  • Task type (effect_generation or music_video_generation)
  • task_id
  • Current status
  • On completion: video_url and cover_url
  • On failure: failure code/message and next fix step

Defaults and Practical Guidance

  • Use list_effects defaults unless the user explicitly asks to override.
  • For effect generation, default image is list_effects.image_url.
  • For MV generation, default values are acceptable unless user specifies otherwise.
  • Keep polling cadence steady and avoid tight loops.

Example Decision Logic

If user asks "make an effect from template":

  • Use Workflow A.

If user asks "make a music video from this song":

  • Use Workflow B.

If user provides only a prompt without media:

  • For effect: use list_effects defaults.
  • For MV: request audio input (or URL) and run upload_audio first.

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