name: token-audit
version: 0.2.0
description: >
Workspace token consumption analyzer for OpenClaw agents. Scans workspace
files, estimates token counts across 6 major models (GPT-4, Claude, Gemini,
Llama, Mistral, Qwen), and surfaces hidden cost drivers. Identifies bloated
context, redundant files, and optimization opportunities. Free, zero
dependencies, no API keys.
author: "Cael (@CaelMaximus)"
license: MIT
tags:

• security
• tokens
• cost
• optimization
• workspace
• caelguard

Token Audit

Analyze your OpenClaw workspace token consumption and costs across multiple models.

Usage

Scan your workspace

python3 scripts/token-audit.py

Scan a specific path

python3 scripts/token-audit.py --workspace /path/to/workspace

JSON output

python3 scripts/token-audit.py --json

What It Finds

• Total token count per model (GPT-4, Claude 3, Gemini, Llama 3, Mistral, Qwen)
• Per-file token breakdown sorted by size
• Estimated costs per model at current pricing
• Files that are disproportionately large vs their utility
• Optimization recommendations

Part of Caelguard

Free, open-source agent security toolkit. See also: shellguard-scanner