by jzOcb · Codex Skill · ★ 117
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
context-doctor 🧠 Visualize and diagnose your OpenClaw context window usage. One command to see what's eating your tokens, which files are healthy, and how much room you have left for actual conversation. Install Or clone this repo into your workspace skills directory: Usage Terminal (colored output) PNG image (for chat / sharing) Requires: () + () or () JSON (pipe to other tools) Options What it shows 📁 Workspace Files Each bootstrap file with status, character count, and token estimate: ✓ OK — file loaded normally ⚠ TRUNCATED — file exceeds limit, instructions silently cut ✗ MISSING — file not found or broken symlink 🔧 Installed Skills All discov
| Stars | 117 |
| Forks | 4 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 71.8051602227263/100 |
| Last Updated | 2026-03-16 |
| Created | 2026-03-08 |
| Platforms | python |
| Est. Tokens | ~14k |
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开源了Codex Skills等集合，大部分是自己实际需要搞得，需要的自取。欢迎star
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context-doctor is 🧠 Visualize and diagnose OpenClaw context window usage — terminal, PNG, or JSON. It is categorized as a Codex Skill with 117 GitHub stars.
context-doctor is primarily written in Python.
You can find installation instructions and usage details in the context-doctor GitHub repository at github.com/jzOcb/context-doctor. The project has 117 stars and 4 forks, indicating an active community.
context-doctor is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to context-doctor on Agent Skills Hub include skills, solana-dev-skill, cc-1c-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.