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Autoresearch

ASecurity

Autonomous iteration loop: modify, verify, keep/discard against any metric

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  • Added May 28, 2026
ai-agentsgosecurity

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Scanned May 28, 2026

npx -y skills add uditgoenka/autoresearch --skill autoresearch --agent claude-code

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SKILL.md
---
name: autoresearch
description: "Autonomous iteration loop: modify, verify, keep/discard against any metric"
version: 2.1.0
---

# 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>` |

Files in this skill

  • SKILL.md2.1 KB
  • agents/openai.yaml250 B
  • autoresearch.md4.8 KB
  • debug.md4 KB
  • evals.md5 KB
  • fix.md4.3 KB
  • improve.md6 KB
  • learn.md3.8 KB
  • plan.md2.8 KB
  • predict.md3.7 KB
  • probe.md4.8 KB
  • reason.md4.7 KB
  • references/predict-personas.md3.1 KB
  • references/reason-judge-protocol.md3.4 KB
  • references/security-checklist.md3.4 KB
  • scenario.md4.1 KB
  • security.md4.6 KB
  • ship.md3.8 KB

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