caveman vs ponytail vs Chisle: why I'd pick Chisle for Claude Code

Description and use

Chisle cuts Claude Code token usage to 56% of the baseline by trimming tool output and producing concise answers, without losing accuracy.

Problem

Reduce token usage in Claude Code without sacrificing accuracy.

Outcome

Chisle reduces answer length to 56% of baseline, trims tool output by ~46%, and maintains accuracy (no loss in hidden tests).

Workflow

• Install Chisle with npx chisle
• Run Claude Code with Chisle enabled
• Chisle applies PostToolUse hook to trim large tool output
• Claude generates concise answers
• Agent loop continues with reduced token consumption

Evidence

Answer length as a percentage of the model with no ruleset (lower is leaner): Claude Code, 26 prompts – caveman 65%, ponytail 58%, Chisle 56%

Source

Same behaviour. A third of the tokens.

Source

Tool output was 67.5% of the context: build logs, test runs, giant grep results.

Source

Chisle also has a hook that trims big tool output before Claude reads it: strips color codes and collapses repeated lines…

Source