Install Autoresearch
Pick your agent. Every command is ready to paste.
npx skills add mxyhi/ok-skills --skill autoresearchThe open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.
01
Install it
Run the command above, or upload the folder in Claude.
02
Ask naturally
Describe the task. Your agent loads autoresearch when the request matches its description.
03
Name it if needed
If it does not trigger, say “use the autoresearch skill”. In Codex, type $autoresearch.
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.
Dispatch (bare $autoresearch)
Parse the invocation in this order:
| Condition | Mode |
|---|---|
Metric: or Verify: present |
Classic — existing metric loop, unchanged |
| Free-form natural-language goal, no metric/verify | Orchestrator — see Orchestrator section |
| Nothing | Setup wizard — interactive config builder |
--classic flag |
Force Classic regardless of goal text |
--auto flag |
Force Orchestrator regardless of goal text |
Print a banner on every invocation: [autoresearch] mode: classic | orchestrator | wizard.
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 or wiki → 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 |
$autoresearch regression |
Regression stability gate: baseline vs candidate, verdict STABLE/UNSTABLE | 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> |
--dry-run |
Orchestrator | Print derived config + planned pipeline; no execution |
--max-cycles N |
Orchestrator | Hard ceiling on orchestration cycles (default 50) |
--classic |
Bare $autoresearch |
Force Classic metric-loop mode |
--auto |
Bare $autoresearch |
Force Orchestrator mode |
Orchestrator
Activated when a plain-language goal is given without Metric:/Verify:. Classifies the goal into a Goal archetype — see references/orchestrator-routing.md for the archetype table and router decision table.
Resolve every scripts/... path below relative to this installed skill directory, never relative to the caller's working directory.
Two modes based on archetype:
- Orchestration loop — predicate-bearing archetypes (ship-ready, optimize-metric, fix-broken, harden, build-feature, explore). Goal has a mechanical Success predicate; the loop runs until that predicate is met.
- Single-pass dispatch — subjective/terminal archetypes (document, what-to-build, decide-design). Routes once to the fitting subcommand (learn / improve / reason), lets it self-terminate, then reports. No loop, no Plateau, no ship gate.
Orchestration Loop Steps
Backed by scripts/orchestrate.sh (deterministic seam — all routing logic lives there). Subcommands exposed: classify, next-hop, units, plateau, screen-cmd, verdict, validate-state, screen-state-predicate.
- Classify —
scripts/orchestrate.sh classify "<goal>"→ archetype label + mode. - Derive predicate — reuse
planlogic to produce a concrete Success predicate: exact shell command + expected output. Foroptimize-metric, run the full plan/wizard derivation internally. - Confirm — ONE
request_user_inputshowing: archetype, mode, concrete predicate (command + expected output), terminal choice (stop-at-verified vs proceed-to-ship). Misclassifications are caught here, not mid-run. - Round-0 dry-run — prove the predicate command runs and returns a value; safety-screen every derived command via
screen-cmd; print projected cycle budget. Stop here if--dry-run. - Loop until predicate satisfied:
a. Assess state via cheap signals (last
handoff.json, regression verdict, error count) + affected-test verify. b.scripts/orchestrate.sh next-hop orchestrator-state.json→ next subcommand. c. Run subcommand (its own bounded inner loop). d. Record per-hop outcome ∈ {progressed, no-op, failed, blocked}. e. Fold hop'shandoff.jsonintoorchestrator-state.json. f.scripts/orchestrate.sh units→ recompute Units remaining. - Stop conditions (checked after each hop):
- Predicate met → ship gate (only if ship is in the pipeline) else
CONVERGED. scripts/orchestrate.sh plateau orchestrator-state.json→ true → stop + reportPLATEAU.- Cycles > ceiling (default 50, override
--max-cycles N) → stop + reportCEILING. - Hop outcome
blocked/failedwith no alternative route → checkpoint + stop + reportBLOCKED.
- Predicate met → ship gate (only if ship is in the pipeline) else
Orchestrator State
orchestrator-state.json — orchestrator-owned, additive. Tracks: goal, archetype, predicate, terminal-choice, units_remaining history, cycle count, per-hop pipeline log with outcomes, current incumbent. Each hop's handoff.json is unchanged (single-hop bridge); the orchestrator reads it and folds it in. Two clearly-owned state objects, no overlap.
Orchestrator Safety Invariants
- Never auto-approve ship/deploy/push. The orchestrator never passes
--autotoship; deploy always requires explicit user approval. - Data-migration behind anchored DB-URL allowlist. Reuses regression's allowlist — host must be
localhost/127.0.0.1/container hostname, or database name carries_test/_cisuffix. Bare substring match does not qualify. Anything else refused. - screen-cmd on every derived command — run before the loop starts AND on every command read from a persisted state file on resume. Persisted commands are never trusted; resume re-screens the pinned predicate via
screen-state-predicateand refuses onrefuse. - No un-screened commands mid-loop. The autonomous loop cannot introduce new shell commands that bypass
screen-cmd. - Predicate pinned, not re-derived. Round-0 writes the derived Success predicate verbatim into
orchestrator-state.json; every cycle and every resume reuses that exact string so "done" is reproducible across runs. - Validate the ledger before routing.
validate-stategatesorchestrator-state.json(required fields + coarse types); a malformed ledger is not trusted to route from. - Independent verify before convergence. High-impact changes accepted on the working signal set
pending_verify;next-hoproutes to averifyhop (held-out / adversarial check) beforeDONEor ship. The verify hop never auto-approves ship. - Unknown-units cycles excluded from Plateau counter. A cycle where
unitsreturnsunknown(e.g. runner crash) is not counted as zero-progress; repeatedunknownroutes toBLOCKED.
Tips for Autoresearch
- • Start a fresh session after installing so your agent picks up the new skill.
- • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
- • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
- • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
- • If two skills overlap, mention the one you want by name.
Questions about Autoresearch
What does the Autoresearch skill do?
Autonomous iteration loop: modify, verify, keep/discard against any metric
How do I install Autoresearch?
Run "npx skills add mxyhi/ok-skills --skill autoresearch" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.
Does Autoresearch work in Cursor and Codex?
Yes. Autoresearch uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.
Is Autoresearch free?
Autoresearch is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.
Who made Autoresearch?
Autoresearch is published by mxyhi in the mxyhi/ok-skills repository, together with 29 other skills.




