golutra — security grade SAFE, quality 56/100

Security audit verdict: SAFE · quality 56/100

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 golutra · Codex Skill · ★ 3.8k

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

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About golutra

golutra 使用赛博监工系统,指挥你的 AI 牛马。 Use Cyberpunk Overseer System: Command your AI workforce. English · 中文 · Website · Releases · Video (EN) · 视频 (中文) <im

agentaiautomationchatgptclaudeclaude-codecodexcodex-clidesktop-appdeveloper

Quick Facts

Stars3,843
Forks440
LanguageRust
CategoryCodex Skill
Quality Score55.7524694324834/100
Open Issues57
Last Updated2026-08-06
Created2026-02-15
Platformsclaude-code, cli, codex, gemini, rust
Est. Tokens~24k

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Frequently Asked Questions

What is golutra?

golutra is Multi-agent AI orchestration platform for automation, workflows, and developer tools. Golutra transforms Codex, Claude Code, and OpenClaw into a unified agent system with parallel execution, task orch. It is categorized as a Codex Skill with 3.8k GitHub stars.

What programming language is golutra written in?

golutra is primarily written in Rust. It covers topics such as agent, ai, automation.

How do I install or use golutra?

You can find installation instructions and usage details in the golutra GitHub repository at github.com/golutra/golutra. The project has 3.8k stars and 440 forks, indicating an active community.

What are the best alternatives to golutra?

The top alternatives to golutra on Agent Skills Hub include agentsys, axonhub, commands. 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