Claude Statusline

Keep your model sharp. Ship with confidence.

Real-time model intelligence monitoring for Claude Code — know exactly when your model is at peak quality and when it's time for a fresh session.

[](https://pypi.org/project/cc-context-stats/) [](https://www.npmjs.com/package/cc-context-stats) [](https://pypi.org/project/cc-context-stats/) [](https://www.npmjs.com/package/cc-context-stats) [](https://opensource.org/licenses/MIT)

**Always use Claude at its best** — monitor model intelligence in real-time so you know exactly when quality starts to drop.

Why Context Stats?

Research shows that LLM quality degrades as the context window fills up — even the best models lose retrieval accuracy at longer contexts. But you can't see this happening. Context Stats makes it visible:

• Model Intelligence (MI) - A benchmark-calibrated score (1.000 → 0.000) that tracks how much quality has degraded, with per-model profiles for Opus, Sonnet, and Haiku
• Know your zone - See if you're in the Smart Zone, Dumb Zone, or Wrap Up Zone
• Track context usage - Real-time monitoring with live-updating ASCII graphs
• Get early warnings - Color-coded alerts tell you when to start a fresh session
• Per-model awareness - Opus retains quality longer than Sonnet, which degrades faster than Haiku. MI reflects this automatically

Context Zones

Zone	Context Used	Status	What It Means
🟢 Smart Zone	< 40%	Optimal	Claude is performing at its best
🟡 Dumb Zone	40-80%	Degraded	Context getting full, Claude may miss details
🔴 Wrap Up Zone	> 80%	Critical	Better to wrap up and start a new session

Installation

Shell Script

For the quickest setup:

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