autoresearch

Skill

Stateful single-mission improvement loop with strict evaluator contract, markdown decision logs, and max-runtime stop behavior

Files1
  • @skills/autoresearch/SKILL.md
<Use_When>
  • You already have a mission and evaluator from /deep-interview --autoresearch
  • You want persistent single-mission improvement with strict evaluation
  • You need durable experiment logs under .omc/autoresearch/
  • You want a supported path for periodic reruns via Claude Code native cron </Use_When>
<Do_Not_Use_When>
  • You need evaluator generation at runtime — use /deep-interview --autoresearch first
  • You need multiple missions orchestrated together — v1 forbids that
  • You want the deprecated omc 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:
  • mission spec
  • evaluator script or command reference
  • per-iteration evaluation JSON
  • markdown decision logs
Recommended canonical shape:
text
.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>
<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:
  • keep one mission per scheduled job
  • preserve the same mission/evaluator contract
  • append new run artifacts rather than overwriting prior experiments </Cron_Integration>
<Execution_Policy>
  • Do not hand execution back to omc autoresearch
  • Do not create multi-mission orchestration
  • Prefer reusing src/autoresearch/* runtime/schema helpers where they already match the stricter contract
  • Keep logs useful to humans, not only machines </Execution_Policy>
autoresearch — Kortix Marketplace | Kortix