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autoresearch

autoresearch

github.com/yeachan-heoAgent workflows33.7k74 installsUpdated today
Repository

About autoresearch

autoresearch is a skill for running persistent research loops toward a bounded deliverable with explicit validation. It suits agents that need evidence-based completion rather than stopping on a model’s claim of being done.

Key features

  1. 01Persistent research loop
  2. 02Choose one of two validation modes at initialization
  3. 03Persist validation state and artifact paths
  4. 04Require a passing completion artifact

Use cases

  1. 01Run research until a validator script passes
  2. 02Produce an artifact approved by an architect
  3. 03Gather validated evidence before architecture planning

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/yeachan-heo/oh-my-codex --skill autoresearch

After installing, type/autoresearchin Claude Code to confirm it loaded.

Details

From the project README

Autoresearch

Autoresearch is the skill-first replacement for the deprecated omx autoresearch command. It keeps the useful measured-research loop, but it now runs as a native-hook stateful workflow instead of a direct CLI or tmux launch surface.

Boundary with planning research

Use $autoresearch when the research output itself is a bounded deliverable that must pass an explicit validator. Do not recommend it for ordinary pre-planning docs lookup or general best-practice checks; use $best-practice-research for that. If $autoresearch is intentionally run before architecture planning, its approved artifact should feed evidence into $ralplan; it should not become a final architecture/component unless the user explicitly asks for ongoing research automation.

Use when

  • You want a Ralph-ish persistent research loop
  • The task should keep nudging until explicit validation evidence exists
  • You want init-time choice between script validation and prompt+architect validation

Do not use when

  • You want the old omx autoresearch command surface (hard-deprecated)
  • You want detached tmux or split-pane launch parity
  • You have not decided the validation regime yet

Core contract

  1. Init chooses validation mode. Pick exactly one:
    • mission-validator-script
    • prompt-architect-artifact
  2. Persist mode state in .omx/state/.../autoresearch-state.json including:
    • validation_mode
    • completion_artifact_path
    • mission_validator_command or validator_prompt
    • optional output_artifact_path
  3. Completion is artifact-gated. The loop does not stop because the model says “done”, because a stop hook fired once, or because several turns were no-ops.
  4. Direct CLI launch is gone. Use $deep-interview --autoresearch for intake and $autoresearch for execution.

Completion artifact contract

mission-validator-script

The completion artifact must exist and record a passing validator result, for example:

{
  "status": "passed",
  "passed": true,
  "summary": "metric improved beyond baseline"
}
prompt-architect-artifact

The completion artifact must include both an architect approval verdict and an output artifact path, for example:

{
  "validator_prompt": "Review the research output against the mission.",
  "architect_review": { "verdict": "approved" },
  "output_artifact_path": ".omx/specs/autoresearch-demo/report.md"
}

Recommended flow

  1. Run $deep-interview --autoresearch to clarify mission + evaluator.
  2. Materialize .omx/specs/autoresearch-{slug}/mission.md, sandbox.md, and result.json.
  3. Start $autoresearch with the chosen validation mode stored in mode state.
  4. Let stop-hook / auto-nudge continue until the completion artifact satisfies the chosen validation mode.
  5. Finish only after the validator artifact is complete.

Migration note

  • omx autoresearch is hard-deprecated.
  • No direct CLI launch.
  • No tmux split-pane launch.
  • No noop-count completion gate.

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