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.
4.4k
Stars
343
Forks
62.3
Radar Score
Rising
Momentum
Scoring Breakdown
Impact78.0
Velocity53.8
Health49.0
Growth Metrics
7-Day Stars
+105
30-Day Stars
+105
Acceleration
1.00x
Language
JavaScript
Why it ranks
Strong momentum — adoption is accelerating week over week.
Popular Alternatives & Competitors
Top projects in the same category (AI Agents) — compare side by side.
🛡️ Enterprise Readiness & Commercial Safety
Organic Growth
71%
Moderate Confidence
License
Permissive (Commercial Friendly)
Safe for commercial use, modification, and distribution.
Health Grade
B
Based on maintenance, issue response, and release cadence.
Radar Score
62.3
Composite of Impact, Velocity, and Health.
⚠️ Growth Anomaly Detected:
- Issue engagement: 2 open issues for 4,350 stars (0.0%).
Disclaimer: This is an automated heuristic assessment based on public GitHub signals. Always perform your own security audit, dependency review, and legal compliance check before production deployment.
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