beatscope: Local music analysis and deterministic video tooling for creators and coding agents

by chosuicide · MCP Server · ★ 84

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install beatscope

pip install beatscope-0.12.1-py3-none-any.whl
git clone https://github.com/chosuicide/beatscope.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

audio-visualizationcanvascodexcreative-codingffmpegmcpmusic-analysismusic-visualizerpythonvideo-generation

Quick Facts

Stars84
Forks9
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score66/100
Open Issues4
Last Updated2026-10-10
Created2026-08-26
Platformsbrowser, codex, mcp, python
Est. Tokens~14k

About beatscope

BeatScope English | 简体中文 Turn a song into a beat-synchronised film — or give its timing to a coding agent. BeatScope listens for beats, real transients, energy changes, tempo changes and repeated sections. Beathi Studio turns those measurements into a movie preview and a reusable timing package. Everything runs locally; your audio is not uploaded.

Compatible Skills

These tools work well together with beatscope for enhanced workflows:

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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