dvcrn 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/workspaceorOPENCLAW_WORKSPACEenv) - 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
| Signal | Meaning | Action |
|---|---|---|
| 🔴 TRUNCATED | File exceeded max chars, silently cut | Reduce file size or split content |
| 🟡 MISSING | File not found or broken symlink | Check path, fix symlink target |
| 🟢 Bootstrap <10% | Healthy | No action needed |
| 🟠 Bootstrap >15% | Heavy | Review workspace files for bloat |
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.