Who it is forA researcher or auditor who wants to cite Keystone results and needs proof that their local copy matches the released data.
The problemThe twins are not shipped in the package, so a reader has no direct way to know their local build matches what was evaluated.
The outcomeA file-by-file match or mismatch report against the published SHA-256 hashes.
What you need first
- Python with pip to install keystone-bench from PyPI
- An API key for an OpenAI-compatible endpoint, such as OpenRouter, to run models and a judge from a different vendor
- Network access so that keystone build can fetch HealthBench from OpenAI's public copy and the label files
- Enough disk space and time for the local rebuild of the twins, since the release ships span references rather than benchmark prose
Steps
pip install keystone-benchkeystone buildkeystone build --checkkeystone pairs
Prompt for your agent
Use the keystone-bench package to rebuild the release with keystone build, then run keystone build --check. Report whether every file matches the published hashes and list any file that does not, along with the output of keystone pairs.
Caveat. The rebuild fetches HealthBench from OpenAI's public copy, so the check only confirms a match if that source is also unchanged.
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