claude-skills/docs/skills/engineering/autoresearch-agent-loop.md
Claude a80eec2267
fix: rename all remaining built-in-shadowing skill names and harden the last cp1252-fatal scripts (#885, #969 follow-through)
Round-2 sweep after re-auditing all 15 reported issues against the merged dev:

- #885 generalized: the original fix only renamed self-improving-agent's
  status/review, but three more plugins shipped skills whose bare names
  shadow Claude Code built-ins. Renamed with the same convention:
  playwright-pro init/review -> pw-init/pw-review, agenthub init/status ->
  hub-init/hub-status, autoresearch-agent status/resume -> ar-status/
  ar-resume. All command references (/pw: /hub: /ar:), docs, audit records,
  harness manifests, and mirror trees/indexes updated; the flat mirror
  namespace no longer collides on 'status'. New scripts/check_skill_names.py
  gate (wired into ci-quality-gate.yml as blocking) fails CI on any future
  bare reserved name; rule added to SKILL-AUTHORING-STANDARD.md.
- #969 follow-through: five more scripts print box-drawing characters that
  cannot exist in cp1252 (api_scorecard, api_linter,
  breaking_change_detector, humanizer_scorer, content_scorer) — same
  guarded UTF-8 reconfigure applied; all smoke-tested under a forced
  legacy encoding.

Verified: check_skill_names (incl. negative test), check_plugin_json,
check_paths, derive_counters, check_dual_publish, smoke_scripts (634/634),
0 broken mirror symlinks.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Qgc6RYXWJPr5oW9DHU7zR4
2026-08-21 08:38:50 +00:00

4.7 KiB

title description
/ar:loop — Autonomous Experiment Loop — Agent Skill for Codex & OpenClaw Start an autonomous experiment loop with user-selected interval (10min, 1h, daily, weekly, monthly). Uses CronCreate for scheduling. Use when the. Agent skill for Claude Code, Codex CLI, Gemini CLI, OpenClaw.

/ar:loop — Autonomous Experiment Loop

:material-rocket-launch: Engineering - POWERFUL :material-identifier: `loop` :material-github: Source
Install: claude /plugin install engineering-advanced-skills

Start a recurring experiment loop that runs at a user-selected interval.

Usage

/ar:loop engineering/api-speed             # Start loop (prompts for interval)
/ar:loop engineering/api-speed 10m         # Every 10 minutes
/ar:loop engineering/api-speed 1h          # Every hour
/ar:loop engineering/api-speed daily       # Daily at ~9am
/ar:loop engineering/api-speed weekly      # Weekly on Monday ~9am
/ar:loop engineering/api-speed monthly     # Monthly on 1st ~9am
/ar:loop stop engineering/api-speed        # Stop an active loop

What It Does

Step 1: Resolve experiment

If no experiment specified, list experiments and let user pick.

Step 2: Select interval

If interval not provided as argument, present options:

Select loop interval:
  1. Every 10 minutes  (rapid — stay and watch)
  2. Every hour         (background — check back later)
  3. Daily at ~9am      (overnight experiments)
  4. Weekly on Monday   (long-running experiments)
  5. Monthly on 1st     (slow experiments)

Map to cron expressions:

Interval Cron Expression Shorthand
10 minutes */10 * * * * 10m
1 hour 7 * * * * 1h
Daily 57 8 * * * daily
Weekly 57 8 * * 1 weekly
Monthly 57 8 1 * * monthly

Step 3: Create the recurring job

Use CronCreate with this prompt (fill in the experiment details):

You are running autoresearch experiment "{domain}/{name}".

1. Read .autoresearch/{domain}/{name}/config.cfg for: target, evaluate_cmd, metric, metric_direction
2. Read .autoresearch/{domain}/{name}/program.md for strategy and constraints
3. Read .autoresearch/{domain}/{name}/results.tsv for experiment history
4. Run: git checkout autoresearch/{domain}/{name}

Then do exactly ONE iteration:
- Review results.tsv: what worked, what failed, what hasn't been tried
- Edit the target file with ONE change (strategy escalation based on run count)
- Commit: git add {target} && git commit -m "experiment: {description}"
- Evaluate: python {skill_path}/scripts/run_experiment.py --experiment {domain}/{name} --single
- Read the output (KEEP/DISCARD/CRASH)

Rules:
- ONE change per experiment
- NEVER modify the evaluator
- If 5 consecutive crashes in results.tsv, delete this cron job (CronDelete) and alert
- After every 10 experiments, update Strategy section of program.md

Current best metric: {read from results.tsv or "no baseline yet"}
Total experiments so far: {count from results.tsv}

Step 4: Store loop metadata

Write to .autoresearch/{domain}/{name}/loop.json:

{
  "cron_id": "{id from CronCreate}",
  "interval": "{user selection}",
  "started": "{ISO timestamp}",
  "experiment": "{domain}/{name}"
}

Step 5: Confirm to user

Loop started for {domain}/{name}
  Interval: {interval description}
  Cron ID: {id}
  Auto-expires: 3 days (CronCreate limit)

  To check progress: /ar:ar-status
  To stop the loop:  /ar:loop stop {domain}/{name}

  Note: Recurring jobs auto-expire after 3 days.
  Run /ar:loop again to restart after expiry.

Stopping a Loop

When user runs /ar:loop stop {experiment}:

  1. Read .autoresearch/{domain}/{name}/loop.json to get the cron ID
  2. Call CronDelete with that ID
  3. Delete loop.json
  4. Confirm: "Loop stopped for {experiment}. {n} experiments completed."

Important Limitations

  • 3-day auto-expiry: CronCreate jobs expire after 3 days. For longer experiments, the user must re-run /ar:loop to restart. Results persist — the new loop picks up where the old one left off.
  • One loop per experiment: Don't start multiple loops for the same experiment.
  • Concurrent experiments: Multiple experiments can loop simultaneously ONLY if they're on different git branches (which they are by default — each experiment gets autoresearch/{domain}/{name}).