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 whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

3.9k stars · 298 forks · JavaScript

Healthy

Healthy: maintained by 12 people in the last 90 days, no known risks.

Why

No rule fired.

What would change this

Maintenance

Complete

Steady

Human commits, 30 days
0
Human commits, 90 days
49
Human commits, 365 days
49
Bot share of commits, 365 days
0%
Last commit
Sep 3, 2026 (1 month ago)
Last human commit
Sep 3, 2026 (1 month ago)
Authors, 90 days
12
Last release
none found
Median PR merge time
23 hours

Responsiveness: of 11 recent issues, 100% got a maintainer reply. Median first response: 12 hours.

Sources: Commits, Releases, Merged pull requests, Issues

People

Complete
Owner
Personal account
Commits sampled
49 since Oct 15, 2025
Authors for half of commits
2
Authors for 80% of commits
5
Contributors
10

Top committers

Sources: Commits, Contributors

Stars

Complete

Not enough data, confidence medium

Stars per week, 2026-08-09 to 2026-10-11. 0 weeks overlap a burst.Peak 1.6k a week2026-08-092026-10-11
Bars show stars gained each week. Orange bars overlap a burst.

Anyone can buy stars for any repo; bursts alone don't prove the owner did.

Sources: How star history is analyzed

Risk

Complete

Flags

No risk flags.

License

Now
MIT (OSI-approved)
A year ago
Not known

Packages

No published packages found.

Sources: GitHub: Leonxlnx/unlazy

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Earlier verdicts

Computed 3 hours ago · method 2026.10.2