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Leonxlnx

Leonxlnx/unlazy

JavaScriptMITactiverising
89Health

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.

Stars1.1k
Forks76
Open Issues0
Contributors76
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
14
Popularity
25
#ai-agents#claude#claude-code#llm#productivity#prompt-engineering#skill
View on GitHub ↗Issues (0) ↗Pull Requests ↗Wiki ↗

Should you contribute to Leonxlnx/unlazy?

Leonxlnx/unlazy has a FoundDev health score of 89/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in JavaScript, so prior JavaScript experience will shorten ramp-up.

Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

Leonxlnx
Leonxlnx/unlazy
JavaScriptMIT
89

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.

activerising
1.1k76 contributors
0d ago

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