Claude Code Plugin Analyzes Token Waste and Anomalies Locally

A developer has created a Claude Code plugin called claude-token-analyzer that diagnoses token waste in Claude Code sessions by analyzing local data. The tool detects six specific anomaly types: HighCost, LowCacheHitRate, CostInefficient, ExcessiveToolUse, HighTokenUsage, and UnusualModelMix, each with severity scoring to prioritize fixes.

How It Works

The plugin is built as a Rust MCP server that parses Claude Code session data from ~/.claude/projects/**/*.jsonl files into a local SQLite database. It performs statistical analysis using standard deviation thresholds and composite anomaly detection. The system is fully local with no cloud components or telemetry.

What It Found

Scanning 8,392 sessions revealed 1,015 anomalies:

• ExcessiveToolUse was the most common (320 sessions) - far more tool calls than typical
• LowCacheHitRate affected 261 sessions - prompts were re-sent without caching
• 66 sessions were "cost-inefficient" - high cost combined with poor cache hit rate

Installation and Usage

Install with: claude plugin install claude-token-analyzer

After installation, you can ask Claude:

• "cta"
• "how much did I spend?"
• "scan for anomalies"

The plugin exposes 7 MCP tools and 6 workflow skills. It also includes Traditional Chinese workflow skills - you can input "看看狀況", "這個月花多少", or "有異常嗎" for Chinese analysis reports.

The tool is available on GitHub at https://github.com/li195111/claude-token-analyzer under MIT License.