autonomous-research-loop-runtime

name

autonomous-research-loop-runtime

description

Runtime helper for autonomous-research-loop ledgers plus headless drive, host-owned multi-agent panel phases (--panel on, auto, or off), and the default cross-platform force-loop kit (bootstrap/start/drain with enforce/hard/notify defaults). Use to initialize, append, validate, inspect, smoke-test, drive, or panel-dispatch loop state without requiring ad-hoc nested multi-agent CLIs from the primary agent.

OpenCode Runtime Notes

This skill is installed as an OpenCode-native SKILL.md. For runtime-backed helpers, prefer the shared ai-agents-skills runtime root and the AAS_RUNTIME_ROOT override instead of assuming a Codex-specific runtime path.

Autonomous Research Loop Runtime

This companion skill provides offline helper scripts for the autonomous-research-loop ledger contract.

It is intentionally runtime-backed and should be installed only for targets that support runtime skill helpers. It is not an OpenClaw skill-file target.

Commands

From a configured ai-agents-skills runtime, prefer:

bash "$AAS_RUNTIME_ROOT/run_skill.sh" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.sh selftest

Common commands:

bash "$AAS_RUNTIME_ROOT/run_skill.sh" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.sh init --dir research/run --goal "..." --success-criteria "..."

bash "$AAS_RUNTIME_ROOT/run_skill.sh" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.sh append-iteration --dir research/run --mode bounded-research --objective "Check evidence gaps" --decision continue

bash "$AAS_RUNTIME_ROOT/run_skill.sh" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.sh validate --dir research/run

bash "$AAS_RUNTIME_ROOT/run_skill.sh" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.sh status --dir research/run

Initialize a new goal-focused loop in enforce mode (the default for new v2 state), or select an explicit compatibility mode:

bash "$AAS_RUNTIME_ROOT/run_skill.sh" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.sh init \
  --dir research/run \
  --goal "..." \
  --success-criteria "..." \
  --goal-focus-mode enforce

Inspect and migrate an existing goal_priority.v1 loop explicitly:

… goal-focus migrate --dir research/run --dry-run
… goal-focus migrate --dir research/run --apply
… goal-focus status --dir research/run
… goal-focus validate --dir research/run
… goal-focus replan --dir research/run --trigger plateau --dry-run
… goal-focus reconcile --dir research/run
… goal-focus recover-quarantine --dir research/run

Migration is dry-run first. When dynamic campaign signals disagree, the runtime refuses to choose among them. Apply may still create a safe v2 state with current_plan.state: needs_replan and no selected direction; enforce mode will not dispatch until structured strategy review or an explicit reviewed campaign resolves it.

The helper is authoritative for local ledger and iteration-budget invariants. It rejects appends after max_iterations, rejects continuing decisions on the final allowed iteration, rejects early stop records that lack a valid proof/success artifact, and validation fails ledgers whose spent iteration count, iteration records, terminal decisions, and running status disagree.

The runtime also exposes force-management and enforcement subcommands used by the autoloop wiring (not part of the normal ledger flow): arm / disarm / active register, deregister, and list an active loop; done is the read-only stop-condition arbiter; hook-check is the cross-platform Stop-hook check that the installed Claude hooks.Stop entry invokes directly (it reads the hook JSON on stdin, honors AUTOLOOP_DISABLE / AUTOLOOP_DRIVER / the stop_hook_active re-entrancy payload, and exits 2 only when an active loop is unfinished, fail-open otherwise); agent-cmd prints the per-provider headless one-iteration command (offline PATH probe, no execution); and drive is the cross-platform headless driver that runs one iteration per loop until done (the POSIX autoloop_driver.sh is a thin shim that delegates to it).

Truly autonomous execution on every install target

A chat session cannot run hundreds of loop iterations: context windows and turn boundaries end it. Unattended execution therefore uses drive, which respawns a FRESH headless agent session per iteration against the on-disk loop files and owns the stop conditions itself. Exactly one of --cmd or --provider selects the iteration command; with --provider the runtime builds the standard one-iteration invocation for that install target:

Provider (target)	Iteration command built by agent-cmd / drive --provider
claude	claude -p "<prompt>" --dangerously-skip-permissions
codex	codex exec --full-auto "<prompt>"
deepseek	codewhale exec --auto "<prompt>" (falls back to codewhale-tui, deepseek)
opencode	opencode run "<prompt>"
copilot	copilot -p "<prompt>" --allow-all-tools
antigravity	agy -p "<prompt>" --dangerously-skip-permissions (falls back to gemini --yolo -p "<prompt>"). Never put flags between -p and the prompt — -p/--print consumes the next argv as the prompt text (wrong: agy --print --dangerously-skip-permissions "$PROMPT"). agy does not read the user prompt from stdin.

<prompt> is the standard one-iteration contract: read recovery.md and the ledger, execute the single recorded next action under the loop policy, verify independently, append exactly one iteration record, refresh the recovery files, exit. Inspect it with agent-cmd --provider <p> --dir <loop> --print-prompt. OpenClaw is not a driver target (no local agent CLI); drive its loops from a supported provider instead.

Default scripted force-loop (all OS)

For unattended force-loop (supervisor + drive with Goal Focus discipline), prefer the installed force-loop kit first. It applies notify ON, Goal Focus enforce, and goal_priority hard, and works on Linux, macOS, Windows, and WSL without requiring systemd:

bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
  skills/autonomous-research-loop-runtime/force-loop/run_force_loop.sh \
  bootstrap --loop research/run --root "$PWD" --profile formal --goal "..."
bash "$AAS_RUNTIME_ROOT/run_skill.sh" \
  skills/autonomous-research-loop-runtime/force-loop/run_force_loop.sh \
  start --loop research/run --root "$PWD" --provider claude

Windows (.bat or .ps1):

%AAS_RUNTIME_ROOT%\run_skill.bat skills/autonomous-research-loop-runtime/force-loop/run_force_loop.ps1 bootstrap --loop research\run --root %CD% --profile formal --goal "..."

& "$env:AAS_RUNTIME_ROOT\run_skill.ps1" skills/autonomous-research-loop-runtime/force-loop/run_force_loop.ps1 bootstrap --loop research\run --root $PWD --profile formal --goal "..."

Pack docs: force-loop/README.md, OPERATOR_RUNBOOK.md. Discovery template: arl-scripted-force-loop. Direct drive / LAUNCH_supervisor.sh remain supported as advanced paths.

Start a raw unattended drive (POSIX, advanced):

bash "$AAS_RUNTIME_ROOT/run_skill.sh" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.sh drive --dir research/run --provider claude

On Windows use %AAS_RUNTIME_ROOT%\run_skill.bat ... run_autonomous_research_loop.bat drive --dir research\run --provider codex. Wrap with a persistent user service or Task Scheduler for multi-day runs. A managed executor may reap ordinary nohup descendants when its command ends; on Linux, prefer a systemd-run --user service whose command is a loop-owned wrapper. Load credentials inside that wrapper, never through token-valued --setenv arguments or unit properties.

Driver behavior:

• Each iteration's output is captured under <loop>/driver_logs/ (host prompt + # --- END HOST PROMPT --- sentinel first, then agent stdout/stderr).
• Failure classification on nonzero exit (after stripping the host prompt): AUTH (token invalidated / 401 Unauthorized / sign-in-again) → immediate exit 7 auth_or_session_dead (no 900s sleep); QUOTA (429, out of credits, usage limit, anchored quota exceeded|limit|…) → quota_wait pause; else hard failure. Patterns match provider-error text, not bare prompt word quota.
• Credit/quota outages (including Claude weekly limit / “resets …” phrasing) pause and retry. --max-quota-waits N caps consecutive quota signals (default 0 = wait indefinitely). With N>0, exit 5 fires when quota_waits >= N (so N=3 means three consecutive quota fails then switch). Hard caps (weekly/monthly/out-of-credits) use a short backoff (~15s) between those N signals when a max is set. Outer supervisor treats exit 5 as temporary quota_or_credit exclude and picks the first available primary.
• Multi-provider unattended: stock drive stays single --provider. Prefer the outer supervisor pack (arl_drive_supervisor.sh / LAUNCH_supervisor.sh + {loop}/failover.json) which rotates on exit 5/6/7 and session-excludes dead primaries. See supervisor_README.md in this runtime skill. Full policy: instruction provider-credit-quota.md.
• Operator policy when a primary is known exhausted and no supervisor: do not leave max-quota-waits 0 spinning; stop and restart with --provider <funded>, and set exclude_until_credit on the panel roster.
• Genuine failures stop the run after --max-failures consecutive occurrences. The default and recommended cap is 3; supervisor configs must not widen it to 10.
• Stop conditions are re-checked every cycle by the done arbiter: iteration cap, wall/token/USD budgets, terminal ledger status, STOP_REQUESTED and PAUSE sentinels, and require_user_stop_only.
• Exit codes: 0 stopped cleanly (), 2 bad arguments, 3 max failures, 4 runtime error, 5 quota waits exhausted, 6 provider binary unavailable, 7 auth/session dead.

Host-owned multi-agent panel (hybrid model)

Panel dispatch is capped persistently at 3 attempts per phase per pending iteration. Configure max_attempts in panel.json or standing_orders.panel; the default is 3. Provider rotation reuses the last panel artifacts after the cap instead of restarting panel calls.

# Opt-in host panel around each drive iteration (parent-owned; top-level CLIs)
… drive --dir <loop> --provider codex --panel on

# auto: enable only if panel.json / standing_orders.panel / AAS_AUTOLOOP_PANEL=on
… drive --dir <loop> --provider codex --panel auto

# Standalone smoke / phase (does not start drive)
… panel --smoke --root <project>
… panel --dir <loop> --root <project> --phase strategy_review
… panel --dir <loop> --root <project> --phase target_advice

When --panel on (or auto-enabled), the v2 cycle is:

1. If pre-dispatch validation requires a new direction, strategy_review via panel_parent writes structured strategy_advice.v1 under iterations/iterNNN/panel/00_strategy_review/.
2. The host commits exactly one reviewed active plan.
3. One primary agent executes the plan's bounded action (the prompt forbids nested panel CLIs).
4. The proposed record is staged as iteration_candidate.json; the ledger has not advanced yet.
5. result_review writes structured result_review.v1 under panel/03_result_review/ using a reviewer family different from the primary.
6. The host atomically accepts or rejects the candidate, then emits notify from finalized state.

Legacy unmigrated loops retain the earlier target_advice flow. In enforce mode, unstructured advice, unavailable required review, same-family-only review, or substantive result-review disagreement cannot be converted into a banked success. Each passing reviewer must cover the candidate's complete exact claim and obligation sets; split coverage across reviewers is not unanimity.

Config (<loop>/panel.json or loop_state.standing_orders.panel):

{
  "enabled": true,
  "providers": ["claude", "codex", "codewhale"],
  "exclude_until_credit": [],
  "timeout_mode": "adaptive",
  "timeouts": {"target_advice": 600, "result_review": 900},
  "timeouts_by_provider": {"kimi": {"mult": 1.5}},
  "timeout_calc": {"min_s": 120, "max_s": 2400, "size_free": 4000},
  "require_different_family": true,
  "anti_deadlock_math_without_panel": true
}

Default panel invite order (when providers is omitted): codex, claude, codewhale. deepseek remains an alias for the CodeWhale/DeepSeek CLI. CodeWhale/DeepSeek is pinned to the official DeepSeek endpoint and Codex to its built-in OpenAI provider; endpoint/provider override variables invalidate enforce-mode family attribution. Kimi and generic multi-provider gateways remain unverified.

timeout_mode is adaptive (default) or fixed (legacy: same cap for every provider). Adaptive budgets scale by prompt size, provider multiplier, and recent successful elapsed_s under the loop dir, then clamp to timeout_calc.min_s / max_s. CLI panel --timeout N with adaptive mode raises the phase base floor (base = max(base, N)), not a hard exclusive cap. Panel budgets are independent of drive --iteration-timeout.

exclude_until_credit (and alias exclude_providers) names providers the host panel must not invite. Use when a CLI is usage-limit / credit exhausted so dispatch does not thrash it every cycle. Env AAS_AUTOLOOP_PANEL_PROVIDERS=claude,codewhale still overrides the invite list for a session.

Env: AAS_AUTOLOOP_PANEL=on|off, AAS_AUTOLOOP_PANEL_PROVIDERS=claude,codex,…. Notify remains orthogonal. Banking still requires host evidence gates. In enforce mode, external panel calls require the separate explicit consent AAS_AUTOLOOP_EXTERNAL_PANEL_EGRESS=allow; absent consent produces no provider spawn. Consent authorizes the complete bounded goal/registry/plan brief and any candidate evidence included in the requested review to leave the host.

Notify v2 progress body (drive / watch / supervisor)

New progress events use aas.autoloop.notify.v2 schema_version 2.1. Runtime code supplies finalized facts, notify_v2 validates and renders them, and remote-bridge chooses transport. Notification failure never changes loop truth. The body layout is pack-owned (not a per-loop template file); see canonical/templates/arl-notify-v2.md.

Profiles (presentation.body_profile, default operator_full):

Profile	Body
operator_full	Status + Event time early; research sections; trailer; omit empty/sentinel fields
operator_compact	Title, Status, Event time, Completed/Current/Plan, Progress; errors only when present
legacy	Prior v2.0 lead (Goal/Completed/Current/Plan); omit-empty still applies

Select profile via notify.json body_profile, then standing_orders.notify.body_profile, then AAS_AUTOLOOP_NOTIFY_BODY_PROFILE. Stored on the envelope so remote-bridge re-renders with the same profile. Install both ARL and remote-bridge notify_v2.py copies (must hash equal). Wait ticks (strategy_review_wait / goal_focus_wait / result_review_wait) are local progress only — not remote. Zulip does not backslash-escape _.

Every Markdown, plain-text, Telegram HTML, and compact rendering includes when informative:

Field	Required meaning
Title	Research-specific identity plus iteration/event outcome; do not use a generic loop title when a goal/title exists.
Status	Separate iteration, result-review, and loop status (promoted early in operator_full).
Event time	occurred_at wall-clock for this notification (always when known).
Progress	Iteration budget used/remaining and plain-language goal/obligation progress.
Started	iteration.started_at only; omit if unknown — never invent from finish time.
Finished	Finish timestamp and duration for terminal statuses; omit for running/waiting/paused.
Executor	Primary provider that performed the attempted iteration.
Driver agent	Driver agent/provider actually used, with model/family when recorded.
Panel agents	Panel agents/providers that actually returned usable work; never just the configured invite list.
Other agents	Any additional participating agent roles/providers.
Compute	Explicit structured compute provenance when reported.
Runtime errors / Review failures	From issues tri-state; omit empty or unreported.
Goal	What the main research problem is (omit if empty).
Completed	What was finalized when material.
Results	Banked claim ids/gists when present.
Current	Where the research stands now.
Decision / Decision reason	Ledger decision when set (omit pending noise on waits).
Plan	The next bounded action.

Iteration status is one of running, success, failure, error, waiting, paused, or not_applicable. Review status is not_required, pending, passed, failed, or error. Keep operational errors distinct from a different-family review rejection.

Compute is never inferred from prose, paths, or filenames. An explicit no-compute event has compute.reported: true with an empty runs list; a legacy event with no provenance has reported: false. Each run names local, hetzner, kaggle, modal, github-actions, or a safe other:<slug>, plus status succeeded|failed|cancelled|unknown and optional job/timing details.

Agent provenance is likewise explicit. Each driver, panel, and other group has reported and agents: a reported empty list means that role was not used, while reported: false means legacy/unreported.

Research identity resolution still prefers research_title (or its aliases) from loop notification/failover config, then title env, then the goal, and only then a non-generic directory name. The stable topic slug derives from the configured job/topic slug or that title; the string optional-stable-zulip-topic-id is a schema placeholder, never an operator title.

Use notify-event for an explicit structured event:

… notify-event --dir research/run --event iteration_ok \
  --completed "Verified bridge lemma B and banked its evidence." \
  --current "One terminal obligation remains open." \
  --plan "Test the registered falsifier for approach A3." \
  --iteration-status success --review-status passed \
  --provider claude \
  --compute-run '{"service":"hetzner","status":"succeeded","job_ref":"job-123"}'

Legacy flat progress fields remain alongside the v2 envelope during migration. The compatibility converter never invents a banked result or compute usage. Deduplication uses the structured event and rendered body; remember a delivery fingerprint only after remote-bridge reports success. Telegram rendering is bounded and escapes HTML without dropping the mandatory blocks. Before any transport or dry-run output, configured transport secrets and common credential forms are recursively redacted from every nested event string, including unrendered extension values and event ids, while retaining non-sensitive provenance. Secret-bearing event ids become deterministic opaque ids before transport results or dedupe state are produced. Enforce-mode external delivery requires AAS_AUTOLOOP_EXTERNAL_NOTIFY_EGRESS=allow; otherwise notification is local-audit only. HTTP transports require HTTPS, reject URL credentials and redirects, and allow localhost HTTP only behind its explicit development opt-in. Common explicit PII forms are redacted from notification values. External panel prompts are instead refused when PII is detected unless AAS_AUTOLOOP_EXTERNAL_PII_APPROVAL_SHA256 matches the SHA-256 of the exact outbound prompt bytes; finding reports name categories, never matched values.

Primary failover supervisor (optional pack)

Default multi-OS path: force-loop/ kit (bootstrap / start / drain). The shell supervisor below is the POSIX failover detail used by that kit when present, and remains available as an advanced direct entry.

For multi-day multi-provider runs, use the runtime support files (installed with this skill):

• force-loop/ — default scripted force-loop (all OS; enforce/hard/notify)
• supervisor_README.md — full compose notes
• LAUNCH_supervisor.sh start|replace — flock (start refuses if held → exit 10; replace stops prior supervisor+drive then starts); POSIX advanced
• arl_drive_supervisor.sh — rotates on drive exit 5/6/7; session-excludes; empty order → exit 11; restart cap → exit 12
• {loop}/failover.json from failover.example.json (primary_order, research_title, max_quota_waits_per_primary; multi-primary + waits 0 refused)

Default example primary_order (drive failover):
claude, codex, grok, opencode, antigravity, copilot, kimi, deepseek.

Failover rule: the supervisor always uses the first available provider in primary_order (skipping session-excluded names). A failed primary is excluded for the rest of the run; the next start is again the first remaining entry.

Stock drive does not read primary_order; only the supervisor does.

Formal policy (optional Lean assist)

Default off (no formal headings in iteration_prompt). Opt in with CLI, env, formal/formal_policy.json, or loop_state.standing_orders.formal.

… init --dir <loop> --goal "…" --success-criteria "…" --formal-policy on --formal-project formal/
… drive --dir <loop> --provider codex --formal-policy on
# host hygiene tick after each ok iteration (non-terminal; scan-first; no OpenGauss spawn):
… drive … --formal-policy force --formal-force-after-iteration

Flag / env	Role
--formal-policy / AAS_AUTOLOOP_FORMAL_POLICY	off|mention-only|auto|on|force
--formal-project / AAS_AUTOLOOP_FORMAL_PROJECT	Lake project path (default formal/)
--formal-force-after-iteration / AAS_AUTOLOOP_FORMAL_FORCE=1	enable host tick when policy is force
--formal-typecheck / AAS_AUTOLOOP_FORMAL_TYPECHECK=1	opt-in Lake typecheck inside host tick
--formal-force-credits	credit budget for force tick (default 3)

At drive start, the host resolves policy, writes formal/host_policy.pin.json, persists privileged keys into standing_orders.formal, and exports AAS_AUTOLOOP_FORMAL_* into the child env. Prompt order: compute_policy → panel (if) → authoritative goal_focus when active (otherwise legacy goal_priority) → formal_policy (empty when off).

formal_force_tick (after iteration_ok, only force + flag): writes formal/force_loop_reports/*; never sets loop blocked/stopped; never launches OpenGauss; never sets claim_support_status=supported. Missing Lake → tool_unavailable; drive continues.

Glossary: headless force-driven ARL ≠ formal_policy=force. Default scripted force-loop pack: force-loop/ (and discovery template arl-scripted-force-loop). Thin formal-env sample only: canonical/templates/sample-arl-headless-driver-with-formal/. Instruction: canonical/instructions/autonomous-loop-formal-policy.md.

Goal Focus v2 (enforceable direction control)

Current deployment status: authoritative state, migration, selection, staging/review/finalization contracts, and both execution profiles are available. AAS_AUTOLOOP_PROVIDER_TRANSPORT=trusted-local explicitly enables attested Claude/Codex primaries and Claude/Codex/CodeWhale panels on a trusted project. Every such process is constrained by a dedicated systemd/cgroup scope, inherited POSIX limits, bounded output, wall timeout, and descendant cleanup. Omission or strict-isolated still denies before provider creation; strict isolation remains unavailable until credential blindness, filesystem allowlisting, and endpoint-constrained egress are implemented. Trusted-local makes no hostile-process containment claim.

Goal Focus v2 uses four authoritative loop files:

File	Runtime role
goal_contract.json	Revisioned goal, criteria, scope, and obligation DAG.
approach_registry.json	Revisioned campaigns/approaches, estimates, eligibility, and reopen conditions.
current_plan.json	One selected bounded direction and its goal/registry/plan revision pins.
direction_decisions.jsonl	Idempotent append-only decision provenance.

The selected plan projects into loop_state.next_preferred_path, loop_state.goal_focus_projection, and a managed recovery.md block for legacy readers. Those are derived views, never competing sources of truth.

Provider-process trust is a separate axis. trusted-local is an explicit operator opt-in and never follows from enforce; invalid or omitted transport values resolve to strict-isolated. Trusted-local requires Linux bubblewrap, a functional user systemd manager, cgroup memory/swap/task/CPU/runtime limits, and POSIX address-space/CPU/open-file/file-size/core limits. Invalid settings or an unavailable backend fail before registration/provider spawn.

Before enabling trusted-local, the operator must pin every provider that may be used. For each uppercase provider key (CLAUDE, CODEX, or CODEWHALE), set:

export AAS_AUTOLOOP_ATTESTED_BIN_CLAUDE=/exact/absolute/real/path/to/claude
export AAS_AUTOLOOP_ATTESTED_SHA256_CLAUDE=sha256:<64-lowercase-hex-digest>
export AAS_AUTOLOOP_ATTESTED_UPSTREAM_CLAUDE=anthropic
export AAS_AUTOLOOP_ATTESTED_MODEL_CLAUDE=claude-fable-5

Use upstream openai for Codex and deepseek for CodeWhale. The optional AAS_AUTOLOOP_ATTESTED_DEPENDENCY_ROOT_<PROVIDER> must be an exact absolute real path containing the executable; otherwise the runtime infers the package root. Compute the executable digest only after resolving any launcher symlink, and review/re-pin after every provider update. The runtime hashes the bounded dependency closure and revalidates the complete identity immediately before each spawn; a command override or endpoint-family override still fails closed.

Trusted-local resource defaults are 4 GiB primary / 3 GiB panel memory, zero swap, 64 GiB address space, 100% aggregate CPU quota, 128 primary / 64 panel tasks, 1024 open files, 4 GiB per-file size, zero-byte core dumps, a 16 MB combined captured-output ceiling, and the phase wall timeout plus a 15-second scope lifetime margin. Override them only with the validated AAS_AUTOLOOP_RESOURCE_* integer variables. A root-owned pre-exec gate reads the process's actual cgroup leaf and inherited limits before executing the provider. Inside containment, the cgroup API, user service manager, container control sockets, live tmux/Screen control paths, and related launch planes are masked. Cleanup, complete prompt delivery/capture, timeout, output-size, and sensitive-output status are host-attested and revalidated before staging or banking. RLIMIT_FSIZE is per file; this profile does not claim an aggregate disk quota, credential blindness, a host-filesystem allowlist, or constrained network egress.

current_plan.enforcement_mode is off, monitor, or enforce. New v2 loops default to enforce; existing loops stay legacy until explicit migration. In enforce mode the driver runs a pre-dispatch gate that:

1. recovers .goal_focus_transactions/ journals;
2. reconciles managed views;
3. validates cross-file revisions and plan/ledger agreement;
4. blocks when iteration_candidate.json awaits review; and
5. blocks visibly on an unresolved iteration_dispatch.json; and
6. requests structured strategy_advice.v1 when a replan trigger fires.

Triggers include missing/non-active plans, ineligible selections, trip wires, panel dissent, plan/estimate expiry, unreviewed counterevidence, three iterations without global obligation reduction, and three scope-only iterations. Monitor mode reports ordinary drift/replan signals instead of enforcing either the active-plan or review-before-bank gate; it preserves legacy banking semantics and must not be treated as an acceptance guarantee.

The host filters ineligible routes, scores interval estimates, and commits one reviewed direction with compare-and-swap. A robustly dominant lower bound selects exploitation; overlapping intervals select a bounded informative experiment from at most three diverse approaches. Every direction commit, including retention and campaign/approach switches, requires a different-family review. The review is bound to complete goal/registry/plan objects, their semantic fingerprints, and exact source hashes, so same-revision mutation invalidates it.

In enforce mode, append-iteration stages the proposed record rather than directly banking it. A different-family result_review.v1 must pass before one atomic transaction appends the accepted row, applies budget/control changes, archives the candidate, and removes the pending file. If review is unavailable or operationally errors, the candidate stays pending, no finalized-attempt budget is charged, and the driver launches no new work.

The driver first persists iteration_dispatch.json, binding a known executor family and candidate id to canonical full-object plan/goal/registry fingerprints and revisions. Enforce-mode staging requires and consumes that exact live intent. Provider-family failover requires replan; unverified/custom primaries and provider command/argument/binary overrides fail closed. Standard AAS_*_LATEST_MODEL and highest-thinking pins remain supported. Every material result needs an explicit claim id plus a safe loop-relative evidence path, and reported compute services are checked against the reviewed plan allow/deny policy. The host no-follow reads and size-bounds every regular UTF-8 evidence artifact, then embeds its complete content, path, size, and digest in the immutable candidate; an identifier alone is not evidence.

Each result_review.v1 binds the canonical fingerprint of the complete pending candidate. Accepted obligation reviews must match the exact requested target status and cite at least one staged evidence id the reviewer lists in inspected_paths; supported claims have the same inspected-evidence requirement. Finalization rechecks those bindings and applies hash/revision compare-and-swap, so a reviewer-side or same-revision authority mutation cannot be banked.

Trusted-local real panels are available only through the explicit transport opt-in described above. Their provider-native prompt-only flags disable shell, filesystem, MCP, browser, memory, custom-instruction, and subagent tools, while the host applies executable attestation, resource limits, bounded capture, and review-schema validation. This profile still trusts the local CLI and its host view. The stronger strict-isolated design additionally requires an allowlisted runtime/provider filesystem, immutable interpreter closure, credential blindness, and endpoint-constrained egress; because that complete boundary is not yet implemented, strict-isolated/default real panels fail closed before spawn. Injected runners remain available only for offline contract tests.

Rejected candidates are finalized as bank_status: rejected: their real iteration/token/USD deltas count against budget and their compute/time/executor provenance is retained, but claim ids, claims, obligation transitions, campaign_delta, and global_delta are cleared. The default next plan state is needs_replan.

Use the goal-focus command family for status, validation, reconciliation, replan, and migration. Migration is non-mutating by default:

… goal-focus migrate --dir <loop> --dry-run
… goal-focus migrate --dir <loop> --apply
… goal-focus recover-dispatch --dir <loop>
… goal-focus recover-dispatch --dir <loop> --cancel --dispatch-id <exact-id>
… goal-focus recover-quarantine --dir <loop>
… goal-focus recover-quarantine --dir <loop> --release --candidate-fingerprint sha256:<exact-digest>

If a candidate exists after a timeout, invalid resource attestation, rejected capture/output, cleanup failure, or another failed host completion gate, the runtime atomically quarantines it and the supervisor stops without retry or failover. Automatic review and banking remain blocked across restart. Inspect the status output and evidence before using the exact fingerprint-bound release; release archives the quarantine and does not change the research ledger or budget.

Dry-run exposes every direction signal and refuses to select a route from ambiguous current-path/recovery/ledger/audit evidence. Apply may preserve that ambiguity as an unselected needs_replan plan. It first copies existing goal_priority.json, loop_state.json, budget.json, iterations.jsonl, and recovery.md plus any hard-replan audit under timestamped .goal_focus_backups/, then creates the v2 contracts and migration decision transactionally. Apply refuses a live owning driver, and proposal, backup, and commit share exact source hashes/absence checks; concurrent mutation returns source_changed before any v2 write. Apply holds an atomic migration claim; current-runtime drivers check it before and after registration and remove a raced registration before refusing to start. A safely parsed claim owned by a dead local PID may be reclaimed. Quiesce a live driver at an iteration boundary, apply, reconcile, validate, and only then restart.

Legacy goal_priority.v1 compatibility

File {loop}/goal_priority.json or loop_state.standing_orders.goal_priority. Executable v1 defaults are "enabled": false and "discipline_mode": "soft". Explicit advise/hard mode adds goal text and bare-advance warnings. Opt out with "enabled": false or AAS_AUTOLOOP_GOAL_PRIORITY=off; env on forces enable only when a config object exists.

V1 injects campaign/goal-EV text, derives local-without-goal-delta streaks, and emits validation warnings. It does not enforce v2 pre-dispatch consistency or review-before-bank. Append compatibility fields with:

… append-iteration --dir <loop> --mode bounded-research --objective "…" --decision continue \
  --goal-contribution advance --campaign-id main

Optional: --local-without-goal-delta, --local-without-goal-delta-tag, and init --goal-priority-template (refuses overwrite unless --force). Reference template: canonical/templates/goal-priority.md; v2 reference: canonical/templates/goal-focus.md. V1 does not execute success_check in done and does not expand recovery rewrite on append.

The default flag sets grant the agent full tool autonomy, which unattended research requires; run loops only in workspaces you trust the agent to modify, and prefer a dedicated project root. Interactive forcing is separate: on Claude the installed hooks.Stop entry blocks turn-end while an ARMED loop (arm --dir <loop> --root <project>) is unfinished; the other targets have no Stop hook and are governed by the driver alone.

For an early proof/success stop, at least one --evidence-id ID must resolve to proof_artifacts/ID.json inside the loop directory. Early proof/success stop reasons are success, success_criteria_met, proof, proof_found, found_proof, and proved. The artifact id must be 1-128 characters of letters, digits, underscore, hyphen, or dot and must start with a letter or digit. The JSON artifact must include:

{
  "schema_version": "1.0",
  "id": "proof-artifact-1",
  "artifact_type": "lean",
  "machine_checkable": true,
  "target": "the theorem or success target",
  "proof_path": "proofs/theorem.lean",
  "checker": {
    "name": "lean",
    "status": "passed"
  }
}

The helper checks that the artifact exists, id matches the evidence id, schema_version is 1.0, machine_checkable is true, artifact_type is one of lean, coq, isabelle, agda, sagemath, python-verifier, or external-verifier, checker.name is non-empty, checker.status is passed, target is non-empty, and proof_path is an existing relative file within the loop directory. It does not run Lean, Coq, SageMath, or another checker itself.

On Windows, use the installed runtime runner with the native launcher target:

%AAS_RUNTIME_ROOT%\run_skill.bat skills/autonomous-research-loop-runtime/run_autonomous_research_loop.bat selftest

& "$env:AAS_RUNTIME_ROOT\run_skill.ps1" skills/autonomous-research-loop-runtime/run_autonomous_research_loop.ps1 selftest

Guarantees

The helper:

• uses only the Python standard library
• does not require network access for ledger, arbiter, probe, or selftest work
• does not install packages
• does not start servers
• does not write configuration outside the selected loop directory (the driver additionally writes iteration logs under the loop's driver_logs/)
• ledger subcommands, done, hook-check, agent-cmd, and selftest never call Codex, Claude, Copilot, DeepSeek, or other provider CLIs; only drive executes the iteration command the operator selected (via --cmd or --provider), which is the entire point of the headless driver
• when --panel is enabled, drive and the panel subcommand may also invoke configured panel provider CLIs as top-level host-parent processes (not nested under the primary agent sandbox)
• does not spawn unbounded recursive multi-agent trees

Use the canonical autonomous-research-loop skill for orchestration policy and this helper only for local ledger mechanics. This helper validates that an early proof stop points to a passed machine-checkable proof artifact record; it does not independently validate the semantic truth of the proof.

Recommended templates

When this skill is involved, consider these workflow templates (install via the workflow-templates artifact profile, or --with-deps to pull backing skills):

• autonomous-research-loop-runbook -- Bounded autonomous research-loop runbook with four stop conditions, single-path solving, mandatory cross-agent verification, fresh-agent backtracking, and five-lane broker-routed heavy-compute offload with per-lane safety gates.
• autonomous-research-loop-portfolio-runbook -- Open-problem, portfolio-first variant of the autonomous research-loop runbook: a rigorous definition-of-done with an insufficient-result disqualification list, an approach registry with blocked-route discipline, and an adversarial audit gate with a concrete-deliverable requirement, keeping the same four stop conditions, cross-agent verification, fresh-agent backtracking, and five-lane broker-routed heavy-compute offload with per-lane safety gates.
• arl-scripted-force-loop -- discovery doc for the default cross-platform force-loop kit (runtime force-loop/).
• goal-focus -- Goal Focus v2 authoritative-state, strategy-review, stage/review/finalize, migration, and Notify v2 reference.
• goal-priority -- legacy goal_priority.v1 reference (defaults disabled/soft).
• sample-arl-headless-driver-with-formal -- thin formal-env layer only (not the force-loop default).
• informal-to-lean-formalization-runbook -- F1–F7 positions when formal-track.