No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by chosuicide · MCP Server · ★ 80
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is beatscope safe to install? View the security audit →
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. ▶ Watch the 57-second product tour What you do Upload a WAV, FLAC, MP3, OGG or M4A file. Check the film preview, song structure and rhythm map. Render a video, export MIDI/CSV, or give the package to a coding agent. Download and run Windows Download [Beathi Studio v0.12.1](https://github.com/chosuicide/beatscope/releases/downlo
| Stars | 80 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.5238319163743/100 |
| Last Updated | 2026-09-19 |
| Created | 2026-08-26 |
| Platforms | browser, codex, mcp, python |
| Est. Tokens | ~14k |
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beatscope is Local music analysis and deterministic video tooling for creators and coding agents.. It is categorized as a MCP Server with 80 GitHub stars.
beatscope is primarily written in Python. It covers topics such as audio-visualization, canvas, codex.
You can find installation instructions and usage details in the beatscope GitHub repository at github.com/chosuicide/beatscope. The project has 80 stars and 9 forks, indicating an active community.
beatscope is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to beatscope on Agent Skills Hub include guaardvark, Embody, vibeframe. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: