loopy: A library of practical AI-agent loops and an installable skill for finding, adapting, and designing repeatable

by Forward-Future · Codex Skill · ★ 3.2k

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

How to install loopy

npx skills add Forward-Future/loopy --skill loopy -g

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsagentic-workflowsai-agentsautomationcodexprompt-engineering

Quick Facts

Stars3,199
Forks284
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score67/100
Open Issues5
Last Updated2026-09-11
Created2026-06-12
Platformscodex, node
Est. Tokens~17k

About loopy

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.

Compatible Skills

These tools work well together with loopy for enhanced workflows:

  • claude-code-workflows — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • babysitter — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)
  • agent-skills — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • ai-coding-project-boilerplate — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (56%)
  • skills — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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