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 · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is loop-library safe to install? View the security audit →
Loop Library The Loop Library skill is an installable guide for your AI agent. Tell it what you want to get done and it can find a published loop, audit and repair an existing one, adapt one to your situation, or help you design a new one through a short conversation. Loop Library is a collection of reusable ways to get better work from AI agents. Each loop tells an agent what to do, how to check its work, what to try next, and when to stop. Browse the Loop Library What is a loop? Most prompts ask an agent to do something once. A loop gives the agent a way to learn from the result and take the next useful step. For example, a one-shot prompt might say: Make this website faster. A loop adds the feedback that makes the work repeatable: Find the slowest page, make one focused improvement, and measure it again. Keep the change only if it helps. Repeat until every page meets the target or another pass stops producing a meaningful improvement. Think of a loop as a playbook with feedback built in. It is useful when the first attempt probably will not be the final answer, such as fixing production errors, improving test coverage, reviewing a product, or keeping documentation current.
| Stars | 1,714 |
| Forks | 148 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 70.5782058812029/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-26 |
| Created | 2026-06-12 |
| Platforms | codex, node |
| Est. Tokens | ~14k |
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loop-library 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 1.7k GitHub stars.
loop-library 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 loop-library GitHub repository at github.com/Forward-Future/loop-library. The project has 1.7k stars and 148 forks, indicating an active community.
loop-library is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to loop-library on Agent Skills Hub include awesome-agent-skills, openagentskill, refly. 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: