Individual skill

autoresearch

Runs a hill-climbing study over many training or analysis runs with the study and experiments tools, one metric and direction, a baseline, ideas ranked by expected value, exactly one run per idea, kill criteria and a budget, verdicts with analysis and lessons, and a conclusion. Use for autoresearch, hyperparameter or ablation sweeps left to run, "make this metric better", or any loop of experiments the user wants driven for hours. For a single reproduction use reproduce; for designing the study's hypotheses first use hypotheses.

backend/cli/skills/core/autoresearch/SKILL.md

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Last checked: Nov 2, 2026

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Repository stars (not skill ratings): 4,354
Repository last updated: Nov 7, 2026
License: Apache-2.0

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SKILL.mdcore · 7,046 bytes
SKILL.mdcore · 7,046 bytes

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# Autoresearch

A study turns "make this metric better" into a loop that runs for hours or days without
losing the thread. You own the science: which ideas to try, how to implement them, what a
result means. OpenScience owns the clock: it tracks every metric the script logs, notices
when a run ends, kills runs that break the study's criteria, keeps the budget, renders the
ledger, and wakes this session with a "Study update" whenever there is news.

## Before the study

1. Agree the objective with the user: one metric, its direction, the budget, the compute
   target, how many runs may be live at once, and the kill criteria. The budget is a spend
   decision and belongs to this study alone: never carry one over from an earlier study or
   an earlier instruction in the session. If the request names no budget, ask once, with a