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.
Purpose and fit
Author 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.
Basic listing based on official public information; functionality has not been independently evaluated.
Sources: official source 1 · official source 2. Based on public basic information; not an in-depth evaluation.
- Browse by purpose
- Agent skill extensions
- Platform
- Not verified
- Pricing
- Pricing not verifiedCheck current official software, hosting, model and infrastructure pricing.
Star trend (estimated)
Includes estimates from GitHub star history, excluded from net-growth rankings. Removed stars are absent and day boundaries are not guaranteed UTC; estimates are not historical end-of-day net totals.Repository info
Repository stars, not unique users or individual-skill installs
- Subcategory
- Agent skill packages
- Platform
- Not verified
- First collected
- 2026-11-03
- Language
- JavaScript
- License
- MIT · Permissive
- Repository created
- 2026-08-09
- Last push
- 2026-09-03
- Measured at
- 2026-11-02 19:01 UTC
- Pricing
- Pricing not verified
- Cost details
- Check current official software, hosting, model and infrastructure pricing.
- Maintenance notes
- Not verified
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.
Tags
Historical observations
Raw observations below are not daily gains.
| Measured at | stars | Source |
|---|---|---|
| 2026-11-02 19:01:19 UTC | 4,263 | Source |