OSS Radar
Leonxlnx/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… Why it matters: useful plumbing for shipping LLM-powered features.
GitHub 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.
Stars
3.9k
Last 24h
+61est.
Last 7 days
+425est.
Forks
294
Star history (last 1 snapshot)
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[](https://ossradar.net/repo/Leonxlnx/unlazy)<a href="https://ossradar.net/repo/Leonxlnx/unlazy"><img src="https://ossradar.net/badge/Leonxlnx/unlazy" alt="Trending on OSS Radar"></a>About unlazy
Leonxlnx/unlazy is a JavaScript project in the LLM tooling category, created 2 months ago. It has 3.9k GitHub stars and 294 forks, and gained +425 stars over the last 7 days (early estimate), ranking #94 of 167 LLM tooling repos tracked by OSS Radar this week.
See more trending LLM tooling repos or the top AI repos this week.
- Language
- JavaScript
- Category
- LLM tooling
- Created
- Aug 9, 2026
- Last push
- Sep 3, 2026
- ai-agents
- claude
- claude-code
- llm
- productivity
- prompt-engineering
- skill
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