qualito 0.1.11

Quality metrics for AI-assisted development — measure and improve your Claude Code sessions

Qualito

Quality metrics for AI-assisted development. Know if your Claude Code sessions are worth the cost.

What it does

Qualito analyzes your Claude Code sessions and gives you a DQI score (Delegation Quality Index) — a composite metric that measures how effectively you're using AI assistance. It tracks cost, duration, success rate, and quality across every session.

• Import existing Claude Code sessions — no behavior change needed
• Score each session with a DQI composite (0-100)
• Track costs, detect incidents, monitor quality trends
• Set SLOs and get alerts when quality drops
• Run experiments to compare different approaches

Quick Start

# Install and set up (imports your existing Claude Code sessions)
uvx qualito setup

# Or install permanently
uv tool install qualito
qualito setup

Every Claude Code user already has session data at ~/.claude/projects/. Qualito reads it — you'll see your first scores in under 2 minutes.

Cloud Dashboard

# Authenticate with qualito.ai
qualito login

# Push data to cloud
qualito sync

# Open dashboard
# → https://app.qualito.ai

Free tier: 3 workspaces. Pro ($29/mo): unlimited workspaces + quality scoring.

CLI Commands

Command	What it does
qualito setup	First-time setup: import sessions, configure MCP, optional cloud sync
qualito status	See your local and cloud sync state
qualito import	Import Claude Code sessions for measurement (--force to re-process)
qualito costs	Analyze spending by workspace, model, and time
qualito privacy	View or change per-workspace sync privacy settings
qualito audit list	List flagged runs needing review
qualito sync	Push local sessions to the cloud dashboard
qualito login	Authenticate with the Qualito cloud
qualito logout	Remove cloud credentials

View your data

Qualito is CLI-first. Your data lives locally and is accessed through commands:

qualito status       # local + cloud breakdown with per-workspace tokens + cost
qualito costs        # detailed spend analysis
qualito privacy      # per-workspace sync privacy settings
qualito audit list   # flagged runs needing review

For a web UI with charts and history, sync to the cloud and view at https://app.qualito.ai.

Privacy

Qualito is local-first. Your session data lives on your machine, and you control what syncs to the cloud on a per-workspace basis.

• Default: metadata only (counts, durations, types, scores)
• Opt in per workspace to sync full content for a richer dashboard
• Every sync scanned for secrets (AWS keys, API tokens, passwords, etc.)
• Server enforces your stated settings — defense in depth

See docs/privacy.md for the full field-by-field breakdown.

MCP Server

Use Qualito inline in your editor via MCP:

{
  "mcpServers": {
    "qualito": {
      "command": "uvx",
      "args": ["qualito-mcp"]
    }
  }
}

Tools available: qualito_setup, dqi_cost, dqi_patterns, dqi_warnings, dqi_templates.

Local Development

git clone https://github.com/mp-web3/qualito.git
cd qualito
uv sync --extra dev --extra server

# Run tests
uv run pytest

License

MIT