00200200

Tokencut — AI skill for Claude Code

AI community

Reduce verbose AI coding output with a local CLI and MCP server.

How to install Tokencut

This entry records only its repository, not the path inside it, so there is no exact command to give. Open 00200200/tokencut and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Tokencut does

Reduce verbose AI coding output with a local CLI and MCP server. Targeted reads, output budgets, and recoverable context for Claude Code and Codex.

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README

tokencut — Token Optimization Engine for Claude Code, Cursor, Codex, and Gemini CLI



High-performance context compression engine and universal MCP server.
Reduces token consumption by 60–85% across Claude Desktop, ChatGPT macOS, Cursor, Claude Code, and terminal CLI without degrading reasoning or losing tracebacks.

MIT license Python versions Tests Ruff GitHub stars


tokencut Terminal Execution Demo

Failure isolation: assertion failures and full tracebacks are retained while repetitive terminal noise is compacted.


The Context Accumulation Problem

AI coding agents (Claude Code, Cursor, Codex, Gemini CLI) run inside multi-turn conversation sessions. Every executed command, test runner output, and inspected file is appended to the conversation history and resent on every subsequent tur