SuperAPI AI Directory

autoresearch

Agents & models

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Updated 10-15 22:16

About this skill

Autoresearch — Autonomous Goal-directed Iteration

Safety Invariants (all subcommands)

  • Never push, publish, or deploy without explicit user approval.
  • Bounded by default. Override with Iterations: unlimited.
  • All results logged to autoresearch/{subcommand}-{YYMMDD}-{HHMM}/ directory.
  • Chain handoff via handoff.json. Evals reads *-results.tsv.

Subcommands

Command Does Default Iterations
/autoresearch Iterate against a metric: modify → verify → keep/discard 25
/autoresearch:plan Convert a goal into validated Scope, Metric, Verify config N/A
/autoresearch:debug Hunt bugs: hypothesize → test → falsify → repeat 15
/autoresearch:fix Crush errors one-by-one until zero remain 20
/autoresearch:security STRIDE + OWASP audit with red-team personas 15
/autoresearch:ship Ship through 8 phases: checklist → dry-run → deploy → verify N/A
/autoresearch:scenario Generate edge cases across 12 dimensions 20
/autoresearch:predict 5 expert personas debate before implementation N/A
/autoresearch:learn Scout codebase → generate docs → validate → fix loop 10
/autoresearch:reason Adversarial debate with blind judges until convergence 8
/autoresearch:probe 8 personas interrogate requirements until saturation 15
/autoresearch:improve Research ICP challenges, discover improvements, generate PRDs 15
/autoresearch:evals Analyze iteration results: trends, plateaus, regressions N/A

Universal Flags

Flag Applies To Purpose
Iterations: N All looping Set iteration count
Iterations: unlimited All looping Opt-in unbounded
--evals All looping Mid-loop checkpoints + final summary
--evals-interval N All looping Override checkpoint frequency
--chain <targets> All Sequential handoff after completion
--<subcommand> All Shorthand for --chain <subcommand>