ralph

[RALPH + ULTRAWORK - ITERATION {{ITERATION}}/{{MAX}}]

Your previous attempt did not output the completion promise. Continue working on the task.

<Use_When>

• Task requires guaranteed completion with verification (not just "do your best")
• User says "ralph", "don't stop", "must complete", "finish this", or "keep going until done"
• Work may span multiple iterations and needs persistence across retries
• Task benefits from parallel execution with architect sign-off at the end </Use_When>

<Do_Not_Use_When>

• User wants a full autonomous pipeline from idea to code -- use autopilot instead
• User wants to explore or plan before committing -- use plan skill instead
• User wants a quick one-shot fix -- delegate directly to an executor agent
• User wants manual control over completion -- use ultrawork directly </Do_Not_Use_When>

<Why_This_Exists> Complex tasks often fail silently: partial implementations get declared "done", tests get skipped, edge cases get forgotten. Ralph prevents this by looping until work is genuinely complete, requiring fresh verification evidence before allowing completion, and using tiered architect review to confirm quality. </Why_This_Exists>

<Execution_Policy>

• Fire independent agent calls simultaneously -- never wait sequentially for independent work
• Use run_in_background: true for long operations (installs, builds, test suites)
• Always pass the model parameter explicitly when delegating to agents
• Read docs/shared/agent-tiers.md before first delegation to select correct agent tiers
• Deliver the full implementation: no scope reduction, no partial completion, no deleting tests to make them pass
• Apply the shared workflow guidance pattern: outcome-first framing, concise visible updates for multi-step execution, local overrides for the active workflow branch, validation proportional to risk, explicit stop rules, and automatic continuation for safe reversible steps. Ask only for material, destructive, credentialed, external-production, or preference-dependent branches.
• Integrate with Codex goal mode when goal tools are available: inspect the active thread goal with get_goal, preserve it as the top-level stop condition, and only call update_goal({status: "complete"}) after a Ralph completion audit proves the objective is actually achieved. </Execution_Policy>

<Tool_Usage>

• Before first MCP tool use, call ToolSearch("mcp") to discover deferred MCP tools
• Use ask_codex with agent_role: "architect" for verification cross-checks when changes are security-sensitive, architectural, or involve complex multi-system integration
• Skip Codex consultation for simple feature additions, well-tested changes, or time-critical verification
• If ToolSearch finds no MCP tools or Codex is unavailable, proceed with architect agent verification alone -- never block on external tools
• Use state_write / state_read for ralph mode state persistence between iterations
• Use Codex goal tools when present: get_goal to discover or re-check the active objective, create_goal only when the user/system explicitly requested a new goal and no active goal exists, and update_goal only after the audited objective is fully achieved.
• Persist context snapshot path in Ralph mode state so later phases and agents share the same grounding context
• If an omx_state MCP tool call reports that its stdio transport is unavailable/closed, do not retry the same MCP call. Retry once through the supported CLI parity surface with the same payload, preserving workingDirectory and session_id: omx state write --input '<json>' --json, omx state read --input '<json>' --json, or omx state clear --input '<json>' --json. If the CLI path also fails, continue with .omx/context / .omx/plans file-backed artifacts and report the state persistence blocker. </Tool_Usage>

Goal Mode Integration

Codex goal mode is the thread-level completion contract for long-running Ralph work. Ralph state tracks workflow mechanics; goal mode tracks whether the user objective is truly done. When the goal tools are available:

1. Call get_goal during intake or before the first execution loop when the prompt/hook says an active thread goal exists.
2. If no goal exists, call create_goal only when the user or system explicitly asked for goal tracking; otherwise continue with Ralph state alone.
3. Treat goal.objective as binding acceptance scope. Newer user updates can refine the current branch, but do not silently narrow the goal.
4. Before completion, perform a prompt-to-artifact checklist and completion audit against real evidence:
   • restate the objective as deliverables/success criteria
   • map every prompt requirement, named workflow ($ralplan, $ralph), file, command, test, gate, and deliverable to evidence
   • inspect the actual files, command output, state, and tests behind each checklist item
   • identify missing, weakly verified, or uncovered requirements and continue if any remain
5. Call update_goal({status: "complete"}) only when the audit shows no required work remains. Do not use passing tests, Ralph state, or architect approval as proxy proof unless they cover the whole goal.
6. If goal tools are unavailable, keep working through Ralph state and mention the missing goal-mode evidence in the final report.

State Management

Use the omx_state MCP server tools (state_write, state_read, state_clear) for Ralph lifecycle state.

• On start: state_write({mode: "ralph", active: true, iteration: 1, max_iterations: 10, current_phase: "executing", started_at: "<now>", state: {context_snapshot_path: "<snapshot-path>"}})
• On each iteration: state_write({mode: "ralph", iteration: <current>, current_phase: "executing"})
• On verification/fix transition: state_write({mode: "ralph", current_phase: "verifying"}) or state_write({mode: "ralph", current_phase: "fixing"})
• On completion: state_write({mode: "ralph", active: false, current_phase: "complete", completed_at: "<now>"})
• On cancellation/cleanup: run $cancel (which should call state_clear(mode="ralph"))

Scenario Examples

Good: The user says continue after the workflow already has a clear next step. Continue the current branch of work instead of restarting or re-asking the same question.

Good: The user changes only the output shape or downstream delivery step (for example make a PR). Preserve earlier non-conflicting workflow constraints and apply the update locally.

Bad: The user says continue, and the workflow restarts discovery or stops before the missing verification/evidence is gathered.

<Escalation_And_Stop_Conditions>

• Stop and report when a fundamental blocker requires user input (missing credentials, unclear requirements, external service down)
• Stop when the user says "stop", "cancel", or "abort" -- run /cancel
• Continue working when the hook system sends "The boulder never stops" -- this means the iteration continues
• If architect rejects verification, fix the issues and re-verify (do not stop)
• If the same issue recurs across 3+ iterations, report it as a potential fundamental problem </Escalation_And_Stop_Conditions>

<Final_Checklist>

• All requirements from the original task are met (no scope reduction)
• Zero pending or in_progress TODO items
• Fresh test run output shows all tests pass
• Fresh build output shows success
• lsp_diagnostics shows 0 errors on affected files
• Architect verification passed (STANDARD tier minimum)
• Codex goal-mode completion audit passed, and update_goal({status: "complete"}) was called when an active goal exists
• ai-slop-cleaner pass completed on changed files (or --no-deslop specified)
• Post-deslop regression tests pass
• /cancel run for clean state cleanup </Final_Checklist>

When the user provides the --prd flag, initialize a Product Requirements Document before starting the ralph loop.

Detecting PRD Mode

Check if {{PROMPT}} contains --prd or --PRD.

Prompt-side $ralph workflow activation is lighter-weight than omx ralph --prd .... It seeds Ralph workflow state and guidance, but it does not implicitly launch the CLI entrypoint or apply the PRD startup gate. Treat omx ralph --prd ... as the explicit PRD-gated path.

Detecting --no-deslop

Check if {{PROMPT}} contains --no-deslop. If --no-deslop is present, skip the deslop pass entirely after Step 7 and continue using the latest successful pre-deslop verification evidence.

Visual Reference Flags (Optional)

Ralph execution supports visual reference flags for screenshot tasks:

• Repeatable image inputs: -i <image-path> (can be used multiple times)
• Image directory input: --images-dir <directory>

Example: ralph -i refs/hn.png -i refs/hn-item.png --images-dir ./screenshots "match HackerNews layout"

PRD Workflow

1. Run deep-interview in quick mode before creating PRD artifacts:
   • Execute: $deep-interview --quick <task>
   • Complete a compact requirements pass (context, goals, scope, constraints, validation)
   • Persist interview output to .omx/interviews/{slug}-{timestamp}.md
2. Create canonical PRD/progress artifacts:
   • PRD: .omx/plans/prd-{slug}.md
   • Progress ledger: .omx/state/{scope}/ralph-progress.json (session scope when available, else root scope)
3. Parse the task (everything after --prd flag)
4. Break down into user stories:

{
  "project": "[Project Name]",
  "branchName": "ralph/[feature-name]",
  "description": "[Feature description]",
  "userStories": [
    {
      "id": "US-001",
      "title": "[Short title]",
      "description": "As a [user], I want to [action] so that [benefit].",
      "acceptanceCriteria": ["Criterion 1", "Typecheck passes"],
      "priority": 1,
      "passes": false
    }
  ]
}

5. Initialize canonical progress ledger at .omx/state/{scope}/ralph-progress.json
6. Guidelines: right-sized stories (one session each), verifiable criteria, independent stories, priority order (foundational work first)
7. Proceed to normal ralph loop using user stories as the task list

Example

User input: --prd build a todo app with React and TypeScript Workflow: Detect flag, extract task, create .omx/plans/prd-{slug}.md, create .omx/state/{scope}/ralph-progress.json, begin ralph loop.

Legacy compatibility

• During the compatibility window, Ralph --prd startup still validates machine-readable story state from .omx/prd.json.
• .omx/plans/prd-{slug}.md remains the canonical storage/documentation artifact, but it is not yet the startup validation source.
• If .omx/prd.json exists and canonical PRD is absent, migrate one-way into .omx/plans/prd-{slug}.md.
• If .omx/progress.txt exists and canonical progress ledger is absent, import one-way into .omx/state/{scope}/ralph-progress.json.
• Keep legacy files unchanged for one release cycle.

Background Execution Rules

Run in background (run_in_background: true):

• Package installation (npm install, pip install, cargo build)
• Build processes (make, project build commands)
• Test suites
• Docker operations (docker build, docker pull)

Run blocking (foreground):

• Quick status checks (git status, ls, pwd)
• File reads and edits
• Simple commands

Original task: {{PROMPT}}