skills$openclaw/ralph-loop
jordyvandomselaar3.3k

by jordyvandomselaar

ralph-loop – OpenClaw Skill

ralph-loop is an OpenClaw Skills integration for coding workflows. 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.

3.3k stars3.2k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

nameralph-loop
descriptionGenerate 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. OpenClaw Skills integration.
ownerjordyvandomselaar
repositoryjordyvandomselaar/ralph-loop
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @jordyvandomselaar/ralph-loop
last updatedFeb 7, 2026

Maintainer

jordyvandomselaar

jordyvandomselaar

Maintains ralph-loop in the OpenClaw Skills directory.

View GitHub profile
File Explorer
2 files
.
_meta.json
283 B
SKILL.md
5.4 KB
SKILL.md

name: ralph-loop description: 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.

Ralph Loop

Overview

Generate a ready-to-run bash script that runs an AI coding CLI in a loop. Align with the Ralph playbook flow:

  1. Define requirements → JTBD → topics of concern → specs/*.md
  2. PLANNING loop → create/update IMPLEMENTATION_PLAN.md (no implementation)
  3. BUILDING loop → implement tasks, run tests (backpressure), update plan, commit

The loop persists context via PROMPT.md + AGENTS.md (loaded every iteration) plus the on-disk plan/specs.

Workflow

1) Collect inputs (ask if missing)

  • Goal / JTBD (what outcome is needed)
  • CLI (codex, claude-code, opencode, goose, other)
  • Mode: PLANNING, BUILDING, or BOTH
  • Completion condition
    • Promise phrase (string to detect), or
    • Test/command to run each iteration, or
    • Plan sentinel (e.g., a line STATUS: COMPLETE in IMPLEMENTATION_PLAN.md)
  • Max iterations
  • Sandbox choice (none | docker | other) + security posture
  • Backpressure commands (tests/lints/build) to embed in AGENTS.md
  • Auto‑approve flags (ask explicitly)
    • Codex: --full-auto
    • Claude Code: --dangerously-skip-permissions

2) Phase 1 — Requirements → specs

If the user wants “full Ralph” (or unclear requirements), do this before the loop:

  • Break the JTBD into topics of concern (1 topic = 1 spec file).
  • For each topic, draft specs/<topic>.md.
  • Use subagents to load URLs or existing docs into context for spec quality.
  • Keep specs short and testable.

3) Phase 2/3 — PROMPT.md + AGENTS.md

  • Context loaded each iteration: PROMPT.md + AGENTS.md.
  • AGENTS.md should include:
    • project test commands (backpressure)
    • build/run instructions
    • any operational learnings
  • PROMPT.md should reference:
    • specs/*.md
    • IMPLEMENTATION_PLAN.md
    • any relevant project files/dirs

4) Two prompt templates (PLANNING vs BUILDING)

Create two prompts and swap PROMPT.md based on mode.

PLANNING prompt (no implementation):

You are running a Ralph PLANNING loop for: <JTBD/GOAL>.

Read specs/* and the current codebase. Do a gap analysis and update IMPLEMENTATION_PLAN.md only.
Rules:
- Do NOT implement.
- Do NOT commit.
- Prioritize tasks and keep plan concise.
- If requirements are unclear, write clarifying questions into the plan.

Completion:
If the plan is complete, add line: STATUS: COMPLETE

BUILDING prompt:

You are running a Ralph BUILDING loop for: <JTBD/GOAL>.

Context:
- specs/*
- IMPLEMENTATION_PLAN.md
- AGENTS.md (tests/backpressure)

Tasks:
1) Pick the most important task from IMPLEMENTATION_PLAN.md.
2) Investigate relevant code (don’t assume missing).
3) Implement.
4) Run the backpressure commands from AGENTS.md.
5) Update IMPLEMENTATION_PLAN.md (mark done + notes).
6) Update AGENTS.md if you learned new operational details.
7) Commit with a clear message.

Completion:
If all tasks are done, add line: STATUS: COMPLETE

5) Build the per‑iteration command

  • Codex: codex exec <FLAGS> "$(cat PROMPT.md)"
    • Requires git repo.
  • Claude Code: claude <FLAGS> "$(cat PROMPT.md)"
  • OpenCode: opencode run "$(cat PROMPT.md)"
  • Goose: goose run "$(cat PROMPT.md)" (ask if they want the Goose recipe)

If the CLI is unknown, ask for the exact command to run each iteration.

6) Output a copy‑paste script

Provide either a minimal loop or a controlled loop with max iters + stop conditions.

Minimal loop (Geoff style):

while :; do cat PROMPT.md | claude ; done

Controlled loop (recommended):

#!/usr/bin/env bash
set -euo pipefail

PROMISE='...'
MAX_ITERS=...
CLI_FLAGS="..."  # optional
PLAN_SENTINEL='STATUS: COMPLETE'
TEST_CMD='...'   # optional

if ! git rev-parse --is-inside-work-tree >/dev/null 2>&1; then
  echo "❌ Run this inside a git repo."
  exit 1
fi

touch PROMPT.md AGENTS.md IMPLEMENTATION_PLAN.md
LOG_FILE=".ralph/ralph.log"
mkdir -p .ralph

CLI_CMD="..." # e.g. "codex exec" or "claude"

for i in $(seq 1 "$MAX_ITERS"); do
  echo -e "\n=== Ralph iteration $i/$MAX_ITERS ===" | tee -a "$LOG_FILE"

  $CLI_CMD $CLI_FLAGS "$(cat PROMPT.md)" | tee -a "$LOG_FILE"

  if [[ -n "${TEST_CMD}" ]]; then
    echo "Running tests: $TEST_CMD" | tee -a "$LOG_FILE"
    bash -lc "$TEST_CMD" | tee -a "$LOG_FILE"
  fi

  if grep -Fq "$PROMISE" "$LOG_FILE" || grep -Fq "$PLAN_SENTINEL" IMPLEMENTATION_PLAN.md; then
    echo "✅ Completion detected. Stopping." | tee -a "$LOG_FILE"
    exit 0
  fi

done

echo "❌ Max iterations reached without completion." | tee -a "$LOG_FILE"
exit 1

Safety/Sandbox Guidance (must mention)

  • Running with --dangerously-skip-permissions or --full-auto implies trust + risk.
  • Recommend a sandbox (docker/e2b/fly) with minimal credentials and restricted network.
  • Escape hatches: Ctrl+C to stop; git reset --hard to revert.

Guardrails

  • If requirements are unclear, insist on specs before BUILDING.
  • If the plan looks stale/wrong, regenerate it (PLANNING loop).
  • If backpressure commands are missing, ask for them and add to AGENTS.md.
README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

If the user wants “full Ralph” (or unclear requirements), do this before the loop: - Break the JTBD into **topics of concern** (1 topic = 1 spec file). - For each topic, draft `specs/<topic>.md`. - Use subagents to load URLs or existing docs into context for spec quality. - Keep specs short and testable.

FAQ

How do I install ralph-loop?

Run openclaw add @jordyvandomselaar/ralph-loop in your terminal. This installs ralph-loop into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/jordyvandomselaar/ralph-loop. Review commits and README documentation before installing.