unlazy

Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

productivity

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3.5k Stars

244 Forks

11 Watchers

JavaScript Language

mit License

100 SrcLog Score

Cost to Build

$7.5K

Market Value

$40.8K

How is this calculated?

Growth over time

2 data points · 2026-08-27 → 2026-09-20

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What is the Leonxlnx/unlazy GitHub project? Description: "Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.". Written in JavaScript. Explain what it does, its main use cases, key features, and who would benefit from using it.

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git clone https://github.com/Leonxlnx/unlazy.git

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Download main.zip

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