Claude Code Runtime Diet Autopilot

One command. Know exactly what your Claude Code setup loads before you type anything.

I was on git main. Claude was on a three-day session branch.
That mistake cost 389,169 tokens at session start before I typed a real prompt.

Most of that load was invisible to me. This script makes it visible.

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What it does

Scans your local Claude Code context surfaces — read-only, nothing written, nothing sent anywhere:

• ~/.claude/projects/ transcript store
• CLAUDE.md files
• Hooks, skills, rules
• Recent session branches

Outputs a Runtime Diet Card: your visible context load, ranked by size, with a next-session hygiene rule generated for your specific setup.

$ bash scripts/claude-runtime-diet-report.sh .

Scanning context surfaces...

~/.claude/projects/     768 MB    (~192K tokens)
CLAUDE.md               6.9 KB    (~1.7K tokens)
.claude/hooks/          20 hooks  (~8K tokens)
Session branch (3d)     32 MB     (~8M tokens)  ← FAT

Diet card saved → .claude/runtime-diet-card.md

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Install

No install. Download and run:

git clone https://github.com/skinny-cloud/runtime-diet-autopilot
bash scripts/claude-runtime-diet-report.sh /path/to/your/project

Or one-liner:

curl -sL https://skinny.cloud/diet.sh | bash

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What you get

• scripts/claude-runtime-diet-report.sh — one-command report generator
• scripts/claude-runtime-static-baseline.sh — read-only local baseline
• docs/389k-case-study.md — the real incident: how I burned 389K tokens before typing anything
• docs/context-surfaces-checklist.md — every surface that can inflate your context
• docs/session-hygiene-playbook.md — /clear, /compact, fresh sessions, MCP discipline
• templates/runtime-diet-card.md — your generated card (share-safe, no secrets)

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Privacy

Read-only. Nothing leaves your machine. No account, no email, no telemetry by default.

Optional: RUNTIME_DIET_TELEMETRY=1 sends an anonymous install_id + audit-completed event. That's it.

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The receipts

Across 15 active AI projects, context discipline alone cut Claude costs by $750/month.

The agents that win aren't the ones with the most context.
They're the ones that know what not to load.

→ skinny.cloud — lean AI ops, real receipts, no fluff.

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License

Apache-2.0. Use it, fork it, build on it.