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AB freebeat-mcp-workflows

Generate AI music videos from any MCP client. Turn text prompts into cinematic music videos with multiple styles and modes. Existing features include character consistency, lip-sync, one-click generation, and special effects. Run Freebeat MCP creative workflows for effect and music video generation, including upload, parameter validation, async task polling, and result retrieval. Use when the user mentions Freebeat MCP, generate_effect, generate_music_video, list_effects, upload_audio, upload_image, get_task_status, or get_task_result.

ClawHub Agent Skills author: d3ter28 v1.0.2 MIT-0 2 files body ≈ 1 032 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 74/100 · Nearly there — weak spots: consistency, progress reporting

GeneratorAI and agentsMedia and videotype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
74/100
Nearly there
Progress reporting w 2
0
Consistency w 8
40
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 74/100

    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (freebeat-mcp-workflows) differs from the folder (freebeatfit-ai)
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 62 steps
    • 100Failures and branches. 5 branches, has a failure section
    • 100Execution cost. Instruction body is 1032 tokens
    • 100Running it twice. No mutating operations

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 541: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 62 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a straightforward Freebeat workflow guide, with the main risk that uploaded audio, images, or URLs are sent to the Freebeat service.
    LLM: benign (high) · VirusTotal: · 29 May 2026