# Autoresearch

> Bounded research experiment loop that tries hypotheses, measures benchmark evidence, keeps what works, and records what fails. Use when the user asks to optimize a research metric, run an experiment loop, improve model/retrieval/evaluation performance iteratively, or benchmark a research hypothesis.

- Skill: `advaitpaliwal/autoresearch` (Agent Skill)
- Install (CLI): `npx skillmds@latest add advaitpaliwal/autoresearch`
- Raw SKILL.md: https://api.skillmd.com/api/skills/advaitpaliwal/autoresearch/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: advaitpaliwal (https://skillmd.com/u/advaitpaliwal)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/advaitpaliwal/autoresearch

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# Autoresearch

Run the `/autoresearch` workflow. The slash command expands the full workflow instructions in the active session; do not try to read a relative prompt-template path from the installed skill directory.

Optional tools used when visible: `init_experiment`, `run_experiment`, `log_experiment`. Without those tools, run the benchmark through the available shell/tooling and record benchmark result, evidence, and decision in the session files.

Session files: `autoresearch.md`, `autoresearch.sh`, `autoresearch.jsonl`