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 PageAI-Pro · Codex Skill · ★ 286
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ralph-loop safe to install? View the security audit →
A Ralph Wiggum Loop implementation that works™ 📚 Full docs: ralphloop.sh Ralph is a long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion. This allows for long running agent loops, effectively enabling AI to code for days at a time. This is an implementation that actually works, containing a hackable script so you can configure it to your env and favorite agentic AI CLI. It's set up by default to use Claude Code in Docker Sandboxes, and supports multiple Docker Sandboxes agents. 👉 Watch the video for an in-depth walkthrough. Getting Started (Optional) Set up code base 1️⃣ Step 1: Install Ralph 2️⃣ Step 2: Create a PRD + task list 3️⃣ Step 3: Set up the agent inside Docker Sandboxes 4️⃣ Step 4: Run Ralph [Running the Ralph Loop with custom options](#running-the-
| Stars | 286 |
| Forks | 38 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 73.2778351893218/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-28 |
| Created | 2026-01-26 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~15k |
These tools work well together with ralph-loop for enhanced workflows:
Looking for a ralph-loop alternative? If you're comparing ralph-loop 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.
A curated list of resources about Ralph, the AI coding technique that runs AI coding agents in automated loops
Lightweight Agent Workstation for Codex CLI + Claude Code — with task scheduler, git worktree & remote control
A better /goal
Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured
Build stateful agent workflows with typed outputs, reusable tools, session forks, and ordinary TypeScript.
Bootstrap projects from Figma, Linear, Notion & GitHub specs. The only AI ralph with source integrations.
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ralph-loop is A long-running AI agent loop. Ralph automates software development tasks by iteratively working through a task list until completion.. It is categorized as a Codex Skill with 286 GitHub stars.
ralph-loop is primarily written in Shell. It covers topics such as agentic-ai, ai, claude-code.
You can find installation instructions and usage details in the ralph-loop GitHub repository at github.com/PageAI-Pro/ralph-loop. The project has 286 stars and 38 forks, indicating an active community.
ralph-loop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ralph-loop on Agent Skills Hub include awesome-ralph, codexia, CodexPotter. 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: