autoresearch

Installation
SKILL.md

Autoresearch

Autonomous optimization is only useful when it behaves like disciplined research, not benchmark gambling.

This skill runs a strict experiment loop:

  • clarify the target before changing code
  • write down hypotheses before testing them
  • measure with repeated trials, not one-off wins
  • record every experiment, including failures
  • generate local reports and graphs that are not checked in

Core Principles

  1. No silent scope inference

If the request is vague, stop and ask a short up-front Q&A before starting. Do not silently invent the target workload, correctness bar, or tradeoffs.

  1. One experiment = one hypothesis
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Installs
18
GitHub Stars
5
First Seen
Mar 14, 2026