Search

PythonReactSEOPDF
OpenClaw

ralph-loop

Generate copy-paste bash scripts for Ralph Wiggum/AI agent loops (Codex, Claude Code, OpenCode, Goose). Use when asked for a "Ralph loop", "Ralph Wiggum loop", or an AI loop to plan/build code via PROMPT.md + AGENTS.md, SPECS, and IMPLEMENTATION_PLAN.md, including PLANNING vs BUILDING modes, backpressure, sandboxing, and completion conditions.

endogen0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install endogen/monitored-ralph-loop

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Ralph Loop (Event-Driven)

Enhanced Ralph pattern with event-driven notifications — Codex/Claude calls OpenClaw when it needs attention instead of polling.

Key Concepts

Clean Sessions

Each iteration spawns a fresh agent session with clean context. This is intentional:

  • Avoids context window limits
  • Each codex exec is a new process with no memory of previous runs
  • Memory persists via files: IMPLEMENTATION_PLAN.md, AGENTS.md, git history
File-Based Notification Fallback

If OpenClaw is rate-limited when Codex sends a wake notification:

  1. The notification is written to .ralph/pending-notification.txt
  2. Wake is attempted (may fail)
  3. When OpenClaw recovers, it checks for pending notifications
  4. Work is never lost — it's all in git/files

File Structure

project/
├── PROMPT.md                      # Loaded each iteration (mode-specific)
├── AGENTS.md                      # Project context, test commands, learnings
├── IMPLEMENTATION_PLAN.md         # Task list with status
├── specs/                         # Requirements specs
│   ├── overview.md
│   └── <feature>.md
└── .ralph/
    ├── ralph.log                  # Execution log
    ├── pending-notification.txt   # Current pending notification (if any)
    └── last-notification.txt      # Previous notification (for reference)

Notification Format

.ralph/pending-notification.txt:

{
  "timestamp": "2026-02-07T02:30:00+01:00",
  "project": "/home/user/my-project",
  "message": "DONE: All tasks complete.",
  "iteration": 15,
  "max_iterations": 20,
  "cli": "codex",
  "status": "pending"
}

Status values:

  • pending — Wake failed or not attempted
  • delivered — Wake succeeded

OpenClaw Recovery Procedure

When coming back online after rate limit or downtime, check for pending notifications:

# Find all pending notifications across projects
find ~/projects -name "pending-notification.txt" -path "*/.ralph/*" 2>/dev/null

# Or check a speci...

Source information

Source
github
Repository
openclaw/skills
Path
skills/endogen/monitored-ralph-loop
Version
—
Commit
642d82ee7ed27b0e3f2f05136a4f8cc97449c218
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

🐺 Ralph Loop (Event-Driven)

An enhanced Ralph pattern implementation with event-driven notifications and rate-limit resilience for AI agent loops.

Key Features

  • 🔔 Event-driven notifications — Agent notifies OpenClaw on decisions, errors, completion
  • 💾 File-based fallback — Notifications persist to .ralph/pending-notification.txt if wake fails
  • 🔄 Clean sessions — Each iteration is a fresh agent context (avoids context limits)
  • 📋 PLANNING/BUILDING modes — Separate phases for architecture and implementation
  • 🧪 Backpressure — Run tests/lints after each implementation

What's Different?

Standard Ralph This Version
Bash loop runs until done/fail Agent notifies on events
Manual monitoring Automatic escalation
Silent failures Immediate error alerts
No rate-limit handling File-based notification fallback
Lost notifications Always recoverable

How It Works

  1. PLANNING phase: Agent analyzes specs, creates IMPLEMENTATION_PLAN.md
  2. BUILDING phase: Agent implements tasks one by one, tests, commits
  3. Notifications: Agent writes to .ralph/pending-notification.txt + triggers OpenClaw via cron
  4. Triage: OpenClaw receives notification, evaluates if it can help or needs to escalate to human
Notification Flow
Codex/Claude ──► .ralph/pending-notification.txt
     │                        │
     └──► openclaw cron add ──┴──► OpenClaw (triage)
                                        │
                              ┌─────────┴─────────┐
                              ▼                   ▼
                        Can help?            Escalate
                              │                   │
                              ▼                   ▼
                        Fix & restart      Notify human
Notification Prefixes

| Prefix | Meaning | Typical Action | |--------|---------|----------------|...

Extracted content

SKILL.md
# Ralph Loop (Event-Driven)

Enhanced Ralph pattern with **event-driven notifications** — Codex/Claude calls OpenClaw when it needs attention instead of polling.

## Key Concepts

### Clean Sessions
Each iteration spawns a **fresh agent session** with clean context. This is intentional:
- Avoids context window limits
- Each `codex exec` is a new process with no memory of previous runs
- Memory persists via files: `IMPLEMENTATION_PLAN.md`, `AGENTS.md`, git history

### File-Based Notification Fallback
If OpenClaw is rate-limited when Codex sends a wake notification:
1. The notification is written to `.ralph/pending-notification.txt`
2. Wake is attempted (may fail)
3. When OpenClaw recovers, it checks for pending notifications
4. Work is never lost — it's all in git/files

## File Structure

```
project/
├── PROMPT.md                      # Loaded each iteration (mode-specific)
├── AGENTS.md                      # Project context, test commands, learnings
├── IMPLEMENTATION_PLAN.md         # Task list with status
├── specs/                         # Requirements specs
│   ├── overview.md
│   └── <feature>.md
└── .ralph/
    ├── ralph.log                  # Execution log
    ├── pending-notification.txt   # Current pending notification (if any)
    └── last-notification.txt      # Previous notification (for reference)
```

## Notification Format

`.ralph/pending-notification.txt`:
```json
{
  "timestamp": "2026-02-07T02:30:00+01:00",
  "project": "/home/user/my-project",
  "message": "DONE: All tasks complete.",
  "iteration": 15,
  "max_iterations": 20,
  "cli": "codex",
  "status": "pending"
}
```

Status values:
- `pending` — Wake failed or not attempted
- `delivered` — Wake succeeded

---

## OpenClaw Recovery Procedure

When coming back online after rate limit or downtime, **check for pending notifications**:

```bash
# Find all pending notifications across projects
find ~/projects -name "pending-notification.txt" -path "*/.ralph/*" 2>/dev/null

# Or check a speci...
README
# 🐺 Ralph Loop (Event-Driven)

An enhanced [Ralph pattern](https://ghuntley.com/ralph/) implementation with **event-driven notifications** and **rate-limit resilience** for AI agent loops.

## Key Features

- 🔔 **Event-driven notifications** — Agent notifies OpenClaw on decisions, errors, completion
- 💾 **File-based fallback** — Notifications persist to `.ralph/pending-notification.txt` if wake fails
- 🔄 **Clean sessions** — Each iteration is a fresh agent context (avoids context limits)
- 📋 **PLANNING/BUILDING modes** — Separate phases for architecture and implementation
- 🧪 **Backpressure** — Run tests/lints after each implementation

## What's Different?

| Standard Ralph | This Version |
|----------------|--------------|
| Bash loop runs until done/fail | Agent notifies on events |
| Manual monitoring | Automatic escalation |
| Silent failures | Immediate error alerts |
| No rate-limit handling | File-based notification fallback |
| Lost notifications | Always recoverable |

## How It Works

1. **PLANNING phase**: Agent analyzes specs, creates `IMPLEMENTATION_PLAN.md`
2. **BUILDING phase**: Agent implements tasks one by one, tests, commits
3. **Notifications**: Agent writes to `.ralph/pending-notification.txt` + triggers OpenClaw via cron
4. **Triage**: OpenClaw receives notification, evaluates if it can help or needs to escalate to human

### Notification Flow

```
Codex/Claude ──► .ralph/pending-notification.txt
     │                        │
     └──► openclaw cron add ──┴──► OpenClaw (triage)
                                        │
                              ┌─────────┴─────────┐
                              ▼                   ▼
                        Can help?            Escalate
                              │                   │
                              ▼                   ▼
                        Fix & restart      Notify human
```

### Notification Prefixes

| Prefix | Meaning | Typical Action |
|--------|---------|----------------|...

Related skills

OpenClaw

xint

0xnyk

X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

flightclaw

jackculpan

Track flight prices from Google Flights with this OpenClaw skill. Search routes, monitor prices, and get alerts when prices drop.

OpenClaw

openclaw-trading-assistant

openclaw-trade

openclaw trading assistant| openclaw trading skill | nof1.ai & openclaw [moltbot] collaboration | We get the best practices from alpha arena trading seasons and bring it to clawdbot All top AI agents, realtime...