Maestro — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

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 RunMaestro · Codex Skill · ★ 3.4k

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

🔒 Is Maestro safe to install? View the security audit →

About Maestro

Maestro Maestro hones fractured attention into focused intent. Maestro is a cross-platform desktop app for orchestrating your fleet of AI agents and projects. It's a high-velocity solution for hackers who are juggling multiple projects in parallel. Designed for power users who live on the keyboard and rarely touch the mouse. Collaborate with AI to create detailed specification documents, then let Auto Run execute them automatically, each task in a fresh session with clean context. Allowing for long-running unattended sessions, my current record is nearly 24 hours of continuous runtime. Run multiple agents in parallel with a Linear/Superhuman-level responsive interface. Currently supporting Claude Code, OpenAI Codex, OpenCode, and Factory Droid with plans for additional agentic coding tools (Gemini CLI, Qwen3 Coder) based on user demand. How It Works:

ai-agentsclaude-codecodexgenerative-aiopencode

Quick Facts

Stars3,358
Forks360
LanguageTypeScript
CategoryCodex Skill
LicenseAGPL-3.0
Quality Score64.9839672736874/100
Open Issues99
Last Updated2026-09-22
Created2025-11-23
Platformsclaude-code, codex, node
Est. Tokens~17k

Compatible Skills

These tools work well together with Maestro for enhanced workflows:

  • superset — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • oh-my-claudecode — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • codex-mcp-server — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • codexia — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (55%)
  • overstory — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)

Maestro alternative? Top 6 similar tools

Looking for a Maestro alternative? If you're comparing Maestro with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • superset by superset-sh · ⭐ 14.5k

    Superset is an agentic IDE to orchestrate 100+ coding agents in parallel. Run any agent with your own subscrip

  • cursor-talk-to-figma-mcp by grab · ⭐ 7.0k

    TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to c

  • OpenContext by 0xranx · ⭐ 1.2k

    A personal context store for AI agents and assistants—reuse your existing coding agent CLI (Codex/Claude/OpenC

  • humanlayer by humanlayer · ⭐ 11.6k

    The best way to get AI coding agents to solve hard problems in complex codebases.

  • plannotator by backnotprop · ⭐ 8.9k

    Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents

  • claude-squad by smtg-ai · ⭐ 8.3k

    Manage multiple AI terminal agents like Claude Code, Codex, OpenCode, and Amp.

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Frequently Asked Questions

What is Maestro?

Maestro is Agent Orchestration Command Center. It is categorized as a Codex Skill with 3.4k GitHub stars.

What programming language is Maestro written in?

Maestro is primarily written in TypeScript. It covers topics such as ai-agents, claude-code, codex.

How do I install or use Maestro?

You can find installation instructions and usage details in the Maestro GitHub repository at github.com/RunMaestro/Maestro. The project has 3.4k stars and 360 forks, indicating an active community.

What license does Maestro use?

Maestro is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to Maestro?

The top alternatives to Maestro on Agent Skills Hub include superset, cursor-talk-to-figma-mcp, OpenContext. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse Codex Skill tools