Stratawright: Agentic DAW that your AI agent can natively control so you can focus purely on making music

by Goldwaterfung · Codex Skill · ★ 130

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

How to install Stratawright

git clone https://github.com/Goldwaterfung/Stratawright.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 65/100

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.

agent-orchestrationagent-skillsagentic-aiagentic-workflowai-musicai-music-creatorai-music-makerai-music-toolsaudio-editingaudio-editing-software

Quick Facts

Stars130
Forks18
LanguageC++
CategoryCodex Skill
LicenseMIT
Quality Score65/100
Last Updated2026-10-10
Created2026-08-01
Platformsclaude-code, codex
Est. Tokens~20k

About Stratawright

Stratawright: The Open-Source AI DAW for Agentic Music Production Stratawright Get your session mixed, balanced, and organized in seconds.Stop wasting time on tedious DAW setup—tell your AI assistant what you need and stay in your creative flow.

Compatible Skills

These tools work well together with Stratawright for enhanced workflows:

  • Resonant — semantic(0.65)+complementary+rare_topics+similar_pop+shared_platform (72%)
  • claude-ai-music-skills — semantic(0.58)+complementary+rare_topics+similar_pop+shared_platform (69%)
  • Reaper-MCP — semantic(0.46)+complementary+rare_topics+similar_pop+shared_platform (65%)
  • tuisic — semantic(0.42)+complementary+same_lang+similar_pop (60%)

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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:

View on GitHub → Browse Codex Skill tools