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 Forward-Future · Codex Skill · ★ 3.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is loopy safe to install? View the security audit →
Loop Library Loop Library has two separate but related parts in this repository: The website is the library; Loopy is a companion way to work with it. You can browse or give an agent the website without installing Loopy. Installing Loopy adds the guided workflow, but it does not install or host the website. Agents that do not have Loopy can use the published agent guide, agent instructions, JSON catalog, or plain-text catalog directly. Each published loop tells an agent what to do, how to
| Stars | 3,174 |
| Forks | 280 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67.4543130373343/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-11 |
| Created | 2026-06-12 |
| Platforms | codex, node |
| Est. Tokens | ~17k |
These tools work well together with loopy for enhanced workflows:
Looking for a loopy alternative? If you're comparing loopy 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.
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loopy is A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable agent workflows.. It is categorized as a Codex Skill with 3.2k GitHub stars.
loopy is primarily written in JavaScript. It covers topics such as agent-skills, agentic-workflows, ai-agents.
You can find installation instructions and usage details in the loopy GitHub repository at github.com/Forward-Future/loopy. The project has 3.2k stars and 280 forks, indicating an active community.
loopy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to loopy on Agent Skills Hub include awesome-agent-skills, refly, cursor-talk-to-figma-mcp. 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: