BrainHarness
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BrainHarness Autoresearch

Run controlled prompt experiments with explicit checks. Compare results before applying a change.

How to use it

  1. Prepare the target prompt and an eval.json with test inputs and pass/fail criteria.
  2. Choose a supported model provider, configure its API credentials and set an experiment budget.
  3. Run the experiment, inspect the results and review a candidate before applying it.

Example request

Which prompt actually works better?

Requirements and limits

Requires Python 3.10+ and model API access. Experiments may incur charges. Results depend on your evaluation criteria; prompt optimization does not fix code or architecture bugs.

Install

Claude Code

/plugin marketplace add zning1994/brainharness
/plugin install brainharness-autoresearch@brainharness

Codex

codex plugin marketplace add zning1994/brainharness
codex plugin add brainharness-autoresearch@brainharness

Install from the repository marketplace. Autoresearch also requires Python and your model API credentials.

ClawHub

Skills are listed on ClawHub. Check the listing for the currently downloadable version. ClawHub

ChatGPT

Not yet listed in the public ChatGPT plugin directory. Codex compatibility does not imply public ChatGPT availability.

Common questions

Does it guarantee a better prompt?

No. It compares candidates against your tests. Use representative inputs, inspect failures and verify any change before adoption.

Source and releases

brainharness-autoresearch · Releases · SKILL.md