Leaderboard/Token Optimization/token-diet
Last commit on July 3, 2026·Created on July 3, 2026

Kulaxyz/token-diet

Cuts token waste across the session without cutting correctness.
Combined rank
#294
across all skills
In Token Optimization
#2
category rank
Stars
503
-1.9% in last 7d
Forks
4
-20.0% in last 7d
Watchers
0
0 watchers in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Description

Token Diet applies a structured set of rules to every part of a coding agent's interaction: user replies, written artifacts, tests, code, context reads, tool calls, and sub-agent instructions. Users can choose from three enforcement levels — on, lite, and ultra — while guardrails protect critical test coverage, exact identifiers, and reasoning depth. It helps heavy AI users, engineering teams, and administrators lower token consumption and costs without losing substance.

WHO IT'S FOR
AI Coding Agent Power Users
reduce token consumption and costs
Engineering Teams Using AI Assistants
standardize token-efficient practices across team
AI Tooling Administrators
manage token budgets for organization
Freelance Developers Using AI
maximize value from AI subscription
30 Days of GitHub Stars
+23 stars
↓ 14.9% monthly change
Jul 7Jul 14Jul 21Jul 28Aug 5
Compatibility & Install
1 Skill · 5 Compatible agents · 3 categories · 1 install path
Compatible agents
Claude CodeCodexCursorWindsurfCline
Categories
Token OptimizationDeveloper ToolingSoftware Engineering
Install via
Manual Copy
Repository instructions
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