Part 3 of a series where we take public "token saver" add-ons for coding agents and run the same paired A/B benchmark against each of them. Part 1 was the caveman skill (advertised −65%, measured −8.5
Ponytail skill for Claude Code cuts cost 10.3%, code 15%—one-quarter of advertised claims, tested across 80 paired tasks. Measurable savings with verified quality parity, but only where agents over-engineer; essential benchmark for evaluating AI tool ROI.
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Part 3 of a series where we take public “token saver” add-ons for coding
agents and run the same paired A/B benchmark against each of them. Part 1 was the
A paired A/B benchmark of the token-compression skill Caveman on Claude Code, run on SkillsBench: does it actually save tokens,…
Does "rtk" reduce Claude Code token usage? Part 2 of a series where we take public “token saving” add-ons for coding agents and…
There's a whole ecosystem of "agent skills" now — reusable instruction files you drop into Claude...
Caveman Claude: The Token-Cutting Skill That's Changing AI Workflows - Complete guide and honest review for 2026.
I cut a coding agent's input tokens by 71% — from 5.07M down to 1.46M across a 66-task run — and...
You probably use Claude Code, Cursor, or Windsurf every day — but if you're not running an MCP server...
Grok 4.5 vs Claude Opus 4.8: Same Code, a Quarter of the Tokens?
