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 emicklei · MCP Server · ★ 213
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is melrose safe to install? View the security audit →
Melrōse - programming of music melodies Introduction is a tool to create and play music by programming melodies. It uses a custom language to compose notes and create loops and tracks to play. This is an example of a simple major scale C. Note sequences in your program can be changed while playing giving you direct audible feedback. For the best experience, use the tool together with the Visual Studio Code Plugin for Melrōse. See also Blog post Install See Build instructions. Usage is a tool to create music by programming melodies and uses a custom language to compose notes that are played with MIDI. Note sequences in your program can be changed while playing which makes it possible to even use it for live performance. For the best experience, use the together with the Visual Studio Code Plugin for Melrōse. Read the documentation on how to use . Status The language h
| Stars | 213 |
| Forks | 18 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.6276725417902/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2014-05-03 |
| Platforms | go, mcp |
| Est. Tokens | ~15k |
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melrose is interactive programming of melodies, producing MIDI. It is categorized as a MCP Server with 213 GitHub stars.
melrose is primarily written in Go. It covers topics such as golang, livecoding, mcp-server.
You can find installation instructions and usage details in the melrose GitHub repository at github.com/emicklei/melrose. The project has 213 stars and 18 forks, indicating an active community.
melrose is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to melrose on Agent Skills Hub include yokai, context-space, gram. 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: