ralph-external
Crash-resilient external loop with state persistence and CI/CD integration
Best use case
ralph-external is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
It is a strong fit for teams already working in Codex.
Crash-resilient external loop with state persistence and CI/CD integration
Teams using ralph-external should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ralph-external/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ralph-external Compares
| Feature / Agent | ralph-external | Standard Approach |
|---|---|---|
| Platform Support | Codex | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Crash-resilient external loop with state persistence and CI/CD integration
Which AI agents support this skill?
This skill is designed for Codex.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Al External
**You are the Al External Orchestrator** — launching and managing crash-resilient iterative loops that run outside the AI session for long-running tasks.
## Core Difference from `/ralph`
`/ralph` runs the loop inside the current AI session. `/ralph-external` launches the loop as an external process via `tools/ralph-external/run.sh`, persisting all state to `.aiwg/ralph-external/`. If the session dies mid-loop, the loop survives and can be reattached or resumed.
Use `/ralph-external` when:
- The task will take longer than a single session
- You need CI/CD pipeline integration
- You want crash recovery guarantees
- You need to run multiple loops in parallel
## Natural Language Triggers
Users may say:
- "ralph external"
- "external ralph"
- "crash-resilient loop"
- "persistent ralph"
- "long-running ralph task"
- "ralph with crash recovery"
- "start background ralph"
## Parameters
### Objective (required)
The task the loop should accomplish. Passed as the first positional argument.
### --completion (required)
Success criteria as a verifiable command. The loop exits when this command returns exit code 0.
**Good examples**:
- `--completion "npm test passes with 0 failures"`
- `--completion "npx tsc --noEmit exits with code 0"`
- `--completion "coverage report shows >80%"`
### --max-iterations (default: 10)
Maximum iterations before the loop halts and saves state for manual review.
### --timeout (default: 60 minutes)
Maximum wall-clock time. Loop checkpoints state before exiting so it can be resumed.
### --provider (default: claude)
AI provider to use for loop iterations. Supported: `claude`, `codex`, `factory`, `opencode`.
### --no-commit
Skip automatic git commits after each iteration.
### --branch (optional)
Create and work on a dedicated feature branch. The branch is created before iteration 1.
### --quiet
Suppress verbose progress output. Completion banner is always shown.
## Behavior
When triggered:
1. Validate that `--completion` criteria are specified and verifiable
2. Check for an existing `.aiwg/ralph-external/` workspace; create if absent
3. Generate a unique `loop-id` (8-character hex) and create the loop state file at `.aiwg/ralph-external/loops/<loop-id>.json`
4. Write the initial state: `{ objective, completionCriteria, maxIterations, timeout, provider, status: "pending", iteration: 0 }`
5. If `--branch` is specified, create the git branch now
6. Invoke `tools/ralph-external/run.sh` with all parsed flags, passing the loop-id
7. The external process owns execution from this point. Print the loop-id and attach info:
```
Al External Loop Started
Loop ID: abc123
Objective: {objective}
Completion: {completion}
Max iterations: {max} | Timeout: {timeout}m | Provider: {provider}
Loop is running externally. Follow progress:
/ralph-attach --loop-id abc123
Check status:
/ralph-status
State: .aiwg/ralph-external/loops/abc123.json
Log: .aiwg/ralph-external/logs/abc123.log
```
8. If `--quiet` is NOT set, automatically attach to the loop's output stream (equivalent to running `/ralph-attach --loop-id <id>`)
## State Persistence and Crash Recovery
State is written to disk before each external process action. If the process crashes:
- The loop state file retains the last known iteration and learnings
- On restart, `tools/ralph-external/run.sh` detects the incomplete state and resumes from the last checkpoint
- Learnings from completed iterations are injected into the next iteration's prompt via the memory layer
**State file schema** (`.aiwg/ralph-external/loops/<id>.json`):
```json
{
"loopId": "abc123",
"objective": "Fix all auth tests",
"completionCriteria": "npm test passes with 0 failures",
"maxIterations": 10,
"timeout": 60,
"provider": "claude",
"status": "running",
"iteration": 3,
"startedAt": "2026-04-01T10:30:00Z",
"lastCheckpoint": "2026-04-01T10:38:42Z",
"logFile": ".aiwg/ralph-external/logs/abc123.log",
"branch": null,
"learnings": ["auth mocks must be initialized before describe block"]
}
```
## CI/CD Integration
For use in pipelines, pass `--quiet` and read the exit code:
- `0` — loop completed successfully (completion criteria verified)
- `1` — loop failed (max iterations or timeout reached)
- `2` — configuration error (bad arguments)
**GitHub Actions example**:
```yaml
- name: Auto-fix tests
run: |
aiwg ralph-external "Fix all failing unit tests" \
--completion "npm test passes" \
--max-iterations 5 \
--timeout 30 \
--quiet
```
## Error Handling
**Missing --completion**:
```
Error: --completion is required for /ralph-external.
Provide a verifiable success criterion:
/ralph-external "Fix tests" --completion "npm test passes"
```
**External process launch failure**:
```
Failed to launch external Al process.
Check:
1. tools/ralph-external/run.sh is executable
2. Node.js >= 18 is available
3. .aiwg/ directory is writable
Run with --verbose for diagnostics.
```
**Loop already active for this objective**:
```
An existing loop may be running for a similar objective.
Active loops:
abc123 — Fix auth tests (running, iteration 3/10)
Options:
1. Attach to existing: /ralph-attach --loop-id abc123
2. Start new anyway: confirm and proceed
3. Abort existing: /ralph-abort --loop-id abc123
```
## Examples
### Example 1: Fix failing tests
```
/ralph-external "Fix all failing tests in src/auth/" --completion "npm test -- --testPathPattern=auth passes"
```
**Response**: Starts external loop, prints loop ID, streams live output.
### Example 2: Long-running migration with branch
```
/ralph-external "Migrate src/ to ESM" --completion "npx tsc --noEmit exits with code 0" --max-iterations 20 --timeout 120 --branch feat/esm-migration
```
**Response**: Creates branch `feat/esm-migration`, starts loop, streams output.
### Example 3: CI/CD pipeline usage
```
aiwg ralph-external "Fix lint errors" --completion "npm run lint exits 0" --max-iterations 5 --quiet
echo "Exit: $?"
```
**Response**: Runs silently, exits 0 on success or 1 on failure.
### Example 4: Alternative provider
```
/ralph-external "Refactor payment module" --completion "npm test passes" --provider codex --max-iterations 8
```
**Response**: Runs iterations using OpenAI Codex instead of Claude.
## Related
- `/ralph` — In-session iterative loop (no crash recovery)
- `/ralph-attach` — Attach to a running external loop's output stream
- `/ralph-status` — Check active and completed loop status
- `/ralph-abort` — Stop a running loop
- `/ralph-resume` — Resume a paused or interrupted loop
## References
- @$AIWG_ROOT/src/cli/handlers/ralph.ts — Al CLI handler
- @$AIWG_ROOT/src/cli/handlers/ralph-launcher.ts — External loop launcher
- @$AIWG_ROOT/tools/ralph-external/README.md — External loop architecture
- @$AIWG_ROOT/tools/ralph-external/orchestrator.mjs — Loop orchestration engine
- @$AIWG_ROOT/tools/ralph-external/state-manager.mjs — State persistence layer
- @$AIWG_ROOT/tools/ralph-external/session-launcher.mjs — AI session launcher
- @$AIWG_ROOT/agentic/code/addons/ralph/README.md — Al documentationRelated Skills
ralph-status
Check status of current or previous agent loop
ralph-resume
Resume an interrupted agent loop from last checkpoint
ralph-reflect
View and manage agent loop reflections and episodic memory
ralph-memory
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
ralph-config
View and configure agent loop settings — show, set, reset, and apply named presets
ralph-attach
Attach to a running agent loop's live output stream
ralph-analytics
Show analytics and metrics from agent loop execution history
ralph-abort
Abort a running agent loop and optionally revert changes
aiwg-orchestrate
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