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 ruby-concurrency · Agent Tool · ★ 5.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is concurrent-ruby safe to install? View the security audit →
Concurrent Ruby -devs%20%26%20users-brightgreen.svg) Modern concurrency tools for Ruby. Inspired by Erlang, Clojure, Scala, Haskell, F#, C#, Java, and classic concurrency patterns. The design goals of this gem are: Be an 'unopinionated' toolbox that provides useful utilities without debating which is better or why Remain free of external gem dependencies Stay true to the spirit of the languages providing inspiration But implement in a way that makes sense for Ruby Keep
| Stars | 5,831 |
| Forks | 417 |
| Language | Ruby |
| Category | Agent Tool |
| Quality Score | 58.2423074273008/100 |
| Open Issues | 55 |
| Last Updated | 2026-08-30 |
| Created | 2013-07-23 |
| Platforms | ruby |
| Est. Tokens | ~18k |
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concurrent-ruby is Modern concurrency tools including agents, futures, promises, thread pools, supervisors, and more. Inspired by Erlang, Clojure, Scala, Go, Java, JavaScript, and classic concurrency patterns.. It is categorized as a Agent Tool with 5.8k GitHub stars.
concurrent-ruby is primarily written in Ruby. It covers topics such as concurrency, ruby.
You can find installation instructions and usage details in the concurrent-ruby GitHub repository at github.com/ruby-concurrency/concurrent-ruby. The project has 5.8k stars and 417 forks, indicating an active community.
The top alternatives to concurrent-ruby on Agent Skills Hub include ruby_llm, fast-mcp, open-saas. 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: