Run repeated change-and-evaluation cycles for one predefined improvement mission within an explicit runtime limit. Save each evaluation as JSON and each decision in readable Markdown logs, with support for periodic reruns through Claude Code native cron.
Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior
Review the instructions the agent will receive before you install.
<Use_When>
/deep-interview --autoresearch.omc/autoresearch/<Do_Not_Use_When>
/deep-interview --autoresearch firstomc autoresearch CLI flow — it is no longer authoritative
</Do_Not_Use_When><Required_Artifacts>
Canonical persistent storage lives under .omc/autoresearch/<mission-slug>/ and/or .omc/logs/autoresearch/<run-id>/.
Minimum required artifacts:
Recommended canonical shape:
.omc/autoresearch/<mission-slug>/
mission.md
evaluator.json
runs/<run-id>/
evaluations/
iteration-0001.json
iteration-0002.json
decision-log.md
Reuse existing runtime artifacts when available rather than duplicating them unnecessarily. </Required_Artifacts>
<Workflow> 1. Confirm a single mission exists and evaluator setup is already available. 2. Ensure mode/state is active for `autoresearch` and records: - mission slug/dir - evaluator reference - iteration count - started/updated timestamps - explicit max-runtime or deadline 3. On every iteration: - run exactly one experiment/change cycle - run the evaluator - persist machine-readable evaluation JSON - append a human-readable markdown decision log entry - continue even when evaluation does not pass 4. Stop when: - max-runtime ceiling is reached - user explicitly cancels - another explicit terminal condition is recorded by the runtime </Workflow><Cron_Integration> Claude Code native cron is a supported integration point for periodic mission enhancement. In v1, prefer documenting/configuring cron inputs over building a large scheduler UI.
If cron is used:
<Execution_Policy>
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