auto

name	auto
description	Automatically converge from goal to A-grade Seed and execute it
mcp_tool	ouroboros_start_auto
mcp_args	{"goal":"$goal","resume":"$resume","cwd":"$CWD","max_interview_rounds":"$max_interview_rounds","max_repair_rounds":"$max_repair_rounds","skip_run":"$skip_run","complete_product":"$complete_product","pipeline_timeout_seconds":"$pipeline_timeout_seconds"}

/ouroboros:auto

Run the full-quality auto pipeline from a single task description.

Dispatch requirement

This skill must be executed by invoking MCP tool ouroboros_start_auto. Do not manually inspect repositories, run shell commands, query GitHub, edit files, or otherwise emulate the auto pipeline as a substitute. Full auto runs routinely exceed interactive MCP tool-call timeouts, so the background starter is the supported default: it returns job_id and auto_session_id quickly. Retain both, poll progress with ouroboros_job_wait / ouroboros_job_status, and read terminal results with ouroboros_job_result.

If ouroboros_start_auto is unavailable, or if any required job polling/result MCP tool is unavailable, stop and report that the required MCP tool is unavailable. A manual fallback is not an ooo auto run.

If a started auto job later returns detached, blocked, failed, or another auto-session status, report that auto-session status and the tool's blocker. detached is non-terminal tracked background work; surface the job/Ralph handles and keep polling. Do not label a blocked or failed outcome as MCP dispatch failure; dispatch failure means the MCP tool could not be invoked.

If the active runtime routes ooo auto through a background starter such as ouroboros_start_auto, do not stop after returning the job_id. Keep ownership of the conversational UX: retain the returned job_id, auto_session_id, and cursor, then monitor the job with ouroboros_job_wait / ouroboros_job_status until a terminal job status is reached or the user explicitly asks you to stop. The user should not have to poll the job manually.

Usage

ooo auto "Build a local-first habit tracker CLI"
ooo auto --resume auto_abc123
ooo auto "Build a local-first habit tracker CLI" --skip-run
ooo auto "Build a local-first habit tracker CLI" --complete-product
/ouroboros:auto "Build a local-first habit tracker CLI"

CLI flag → MCP arg translation

When the user types ooo auto with CLI-style flags inside chat, translate to MCP arguments before invoking ouroboros_start_auto:

CLI flag	MCP arg	Type
--complete-product	complete_product=true	boolean
--skip-run	skip_run=true	boolean
--max-interview-rounds N	max_interview_rounds=N	integer
--max-repair-rounds N	max_repair_rounds=N	integer
--pipeline-timeout-seconds X	pipeline_timeout_seconds=X	number
--resume <id>	resume=<id>	string

--max-generations is not a flag for ooo auto; it belongs to ooo ralph. When complete_product=true, the chained Ralph uses its built-in default (10 generations) bounded by pipeline_timeout_seconds or Ralph's own per-iteration / wall-clock budgets.

--pipeline-timeout-seconds is accepted only when starting a session. Passing it with --resume is rejected because the original deadline is preserved across process restarts.

Behavior

1. Starts an auto session.
2. Runs bounded Socratic interview rounds with source-tagged auto answers.
3. Generates a Seed.
4. Reviews and repairs until A-grade or blocked.
5. Starts execution only after A-grade.
6. When complete_product=true, chains RUN → RALPH_HANDOFF after a successful run handoff and waits for a terminal Ralph status so a single invocation iterates Ralph until QA passes, convergence, or a budget bound trips. A QA-pass on the executed product completes the auto session; recognized failure modes (iteration_timeout, wall_clock_exhausted, oscillation_detected, grade_regressing, max_generations reached) block the auto session with the matching stop_reason in last_error so operators can resume after the cause is addressed.

Background monitoring UX

When an auto start response includes response.meta.job_id:

1. Briefly acknowledge that auto started and keep the handles in local state: job_id, auto_session_id / session_id, and cursor from response.meta if present.
2. Immediately enter a low-noise monitor loop with:
   • ouroboros_job_wait(job_id=<job_id>, cursor=<cursor>, timeout_seconds=120, view="summary")
   • update cursor = response.meta.cursor after every wait/status response
   • treat response.meta as the source of truth; use response text only as a human-readable hint
3. Relay only meaningful changes: status changes, phase changes, new execution/session/lineage handles, progress counters, blocker/error text, or a terminal state. If response.meta.changed is false, continue silently unless the user asked for heartbeat updates.
4. If the job status is non-terminal (queued, running, or another active status), keep waiting. Do not tell the user to call job tools themselves.
5. When the job reaches a terminal status, call ouroboros_job_result(job_id) and summarize the final auto-session outcome. If the final auto result is detached, keep tracking the surfaced downstream job/Ralph handles when available instead of presenting detached as completion.
6. If response.meta.status == "delegated_to_plugin" and response.meta.job_id is None, report that OpenCode plugin mode delegated the work to the child Task/session. Do not call job wait/result without a real job id; follow the host Task widget/session lifecycle.

Use short progress relays; the goal is “I am still watching this for you,” not a wall of logs.

Canonical stop_reason_code taxonomy

Layer	Code	Surface	Meaning
Interview	interview_max_rounds_exhausted	last_error_code, result.stop_reason_code	Auto interview ran max_interview_rounds without ledger+backend mutual closure, no section was safely defaultable, and no partial defaults applied — i.e. genuine deadlock with nothing the policy could close.
Interview	interview_unsafe_gaps_remain	last_error_code, result.stop_reason_code	Auto interview ran max_interview_rounds with at least one section safely defaultable and at least one section remaining unsafe (e.g. CONFLICTING ledger entry, production/credential context). Partial defaults are rolled back so the persisted transcript and ledger stay aligned; resume can address the unsafe gap and re-run.
Interview	interview_phase_deadline	last_error_code, result.stop_reason_code	Interview phase exceeded its per-phase timeout.
Ralph	iteration_timeout	blocker text + (future) result.stop_reason_code	A single Ralph iteration exceeded its per-iteration timeout.
Ralph	wall_clock_exhausted	blocker text + (future) result.stop_reason_code	The Ralph wall-clock budget was exhausted before convergence.
Ralph	oscillation_detected	blocker text + (future) result.stop_reason_code	Ralph oscillated between two grade states without making progress.
Ralph	grade_regressing	blocker text + (future) result.stop_reason_code	A subsequent Ralph generation produced a strictly worse grade than its predecessor.
Ralph	max_generations reached	blocker text + (future) result.stop_reason_code	Ralph hit its configured generation cap before reaching A grade.

Blockers without a canonical code keep using the free-form last_error text. Ralph-layer codes are surfaced via blocker text today; their result-envelope promotion is tracked as a follow-up.

Interview closure mode taxonomy

When result.status == "seed_ready", result.interview_closure_mode distinguishes how the interview was closed:

Value	Meaning
None	Mutual agreement — both the backend and the ledger declared the seed ready in the same round. The default healthy path.
"ledger_only"	PR-B1 / #1148: max_rounds hit; the ledger was structurally complete but the backend refused to declare closure. The interview closes on ledger-only consensus. Defaulted sections (if any) are tagged in result.defaulted_sections.
"safe_default"	PR-B2: max_rounds hit; the safe-default policy successfully filled every remaining required gap with auditable assumptions. Synthesis was pushed back into the persisted transcript so the seed generator sees the same assumptions the ledger records. Defaulted sections are tagged in result.defaulted_sections.

Genuine-deadlock and partial-unsafe outcomes do not set interview_closure_mode; they reach a blocked terminal with the matching stop_reason_code above instead.

Assumption-source provenance (PR-C2 / #1157)

result.assumptions: tuple[str, ...] (the existing list of assumption texts) is now accompanied by result.assumption_sources: tuple[AssumptionRecord, ...], where each AssumptionRecord is a frozen dataclass with:

Field	Type	Meaning
text	str	The assumption text (same surface as the corresponding assumptions entry where present).
source	str	One of "assumption" (auto-answerer fallback), "inference" (model reasoning), "conservative_default" (safe-default policy). These are the three assumption-class LedgerSource values that produce assumption_only_sections.
confidence	float	Per-entry confidence as recorded by the ledger.

assumption_sources is a broader surface than assumptions — it includes inference- and conservative-default-class entries that assumptions (filtered to LedgerSource.ASSUMPTION only) does not surface. Callers wanting to know which assumptions the system made on the user's behalf should read assumption_sources; callers preserving the older string-only contract continue to read assumptions.

The pipeline must not hang indefinitely: all loops are bounded and timeout failures return a resumable auto_session_id. Resume with ooo auto --resume <auto_session_id>. Use --skip-run to stop after the A-grade Seed. Use --complete-product to drive the full Interview → Seed → Run → Ralph → Product chain on a single ooo auto invocation; the chained Ralph loop honors the same wall-clock deadline as the parent auto session (--timeout). The CLI-only --show-ledger flag prints assumptions/non-goals; MCP skill responses already include the same ledger summary when available.