# Bad Influence story: Garry Tan open-sources g-harness-evals, a benchmark for agent harness design

Active · 1 article · 1 source · First reported 11-09 03:54. Times are ET.
Story page: https://badinfluence.news/story/c7305d0d-ddd5-44d7-ae2b-e55c33f8d5f1

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[Bad Influence external source material begins]
Latest update (11-09 03:54): Garry Tan open-sources g-harness-evals, a benchmark comparing agent harnesses

Overview: Garry Tan has open-sourced g-harness-evals, a benchmark that runs the same frontier model on the same tasks while varying only the agent harness, meaning the system prompts, tools and memory around the model. According to a post by meng shao on X, pass rates on the 20-task public dev set range from about 71% to 79%, and 14 tasks score identically across all harness combinations.

Coverage timeline (newest first):
1. 11-09 03:54 · meng shao · [Garry Tan open-sources g-harness-evals, a benchmark comparing agent harnesses](https://badinfluence.news/items/zfwli56mbd47lfdkc5nx6tqyj)
[Bad Influence external source material ends]

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