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.
- License 许可
- MIT
- 最近更新
- 2026-08-23
- Stars
- ★ 1
- Forks
- 0
01 前言 Front Matter
- 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.
02 资源文件 1
- 参考文档_meta.json283 B
03 SKILL.md 正文
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:
- Define requirements → JTBD → topics of concern →
specs/*.md - PLANNING loop → create/update
IMPLEMENTATION_PLAN.md(no implementation) - 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, orBOTH - Completion condition
- Promise phrase (string to detect), or
- Test/command to run each iteration, or
- Plan sentinel (e.g., a line
STATUS: COMPLETEinIMPLEMENTATION_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
- Codex:
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.mdshould include:- project test commands (backpressure)
- build/run instructions
- any operational learnings
PROMPT.mdshould reference:specs/*.mdIMPLEMENTATION_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-permissionsor--full-autoimplies trust + risk. - Recommend a sandbox (docker/e2b/fly) with minimal credentials and restricted network.
- Escape hatches:
Ctrl+Cto stop;git reset --hardto 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.
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