superloopy: Lightweight Codex/Claude loop harness with strict evidence gates

by beefiker · Codex Skill · ★ 112

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

How to install superloopy

/plugin marketplace add beefiker/superloopy
/plugin install superloopy@beefiker

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 61/100

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.

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.

ai-agentsclaudeclaude-codeclaude-code-pluginclaude-code-skillcodexcodex-plugincodex-skillsdeveloper-toolsevidence-gates

Quick Facts

Stars112
Forks17
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score61/100
Open Issues1
Last Updated2026-10-29
Created2026-06-29
Platformsclaude-code, codex, node
Est. Tokens~19k

About superloopy

🌀 Superloopy Loop engineering for Codex, Claude Code, and Google Antigravity. Type — an agent does the work, proves each piece with real evidence, and only then says it's done. English · 한국어 · 中文(简体) · 日本語 · Español       the crew — optional subagents, one job each Use it After installing, type your task in Codex, Claude Code, or Antigravity with a leading : The agent...

Compatible Skills

These tools work well together with superloopy for enhanced workflows:

  • sd0x-dev-flow — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • session-orchestrator — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)

superloopy alternative? Top 6 similar tools

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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