Context Doctor

Diagnose and visualize how the context window budget is allocated.

Quick Start

Run the visualization script:

python3 scripts/context-doctor.py

The script auto-detects:

• Workspace path (~/.openclaw/workspace or OPENCLAW_WORKSPACE env)
• OpenClaw version (via openclaw --version)
• Installed skills (system + workspace)
• Bootstrap file sizes and status

Output Sections

1. Workspace Files

Shows each bootstrap file with:

• Status: ✓ OK / ✗ MISSING / ⚠ TRUNCATED (symlink target missing = MISSING)
• Characters & Tokens: Raw size and estimated token count (chars/4)
• Visual bar: Proportional to file size

2. Installed Skills

Lists all discovered SKILL.md files from system and workspace skill directories.

Skills are loaded on-demand, not in bootstrap — shown for awareness only.

3. Token Budget

Breaks down bootstrap overhead:

• System Prompt (framework)
• Workspace Files (from scan)
• Skills List (metadata descriptions)
• Tool Schemas + Summaries

Shows total bootstrap % vs free conversation space.

Diagnostic Signals

Image Output (for chat / sharing)

Generate a PNG image directly — no terminal screenshot needed:

python3 scripts/context-doctor.py --png /tmp/context-doctor.png

The script renders a colored terminal-style image via Rich SVG export.

Requires: rich (pip3 install rich) + one of: rsvg-convert (brew install librsvg) or cairosvg (pip3 install cairosvg).

Agent workflow: When a user asks about context health in chat, run with --png and send the image directly. The output path is printed to stdout on success.