Claude Code Status Line - Complete Guide: all fields, config, ready-to-use scripts
A persistent, customizable bar at the bottom of Claude Code that shows real-time session data.
| Gigabytes (GB) | Megabytes (MB) decimal | Megabytes (MB) binary |
|---|---|---|
| 1 GB | 1,000 MB | 1,024 MB |
| 2 GB | 2,000 MB | 2,048 MB |
| 3 GB | 3,000 MB | 3,072 MB |
| 4 GB | 4,000 MB | 4,096 MB |
| 5 GB | 5,000 MB | 5,120 MB |
| 6 GB | 6,000 MB | 6,144 MB |
| 7 GB | 7,000 MB | 7,168 MB |
| 8 GB | 8,000 MB | 8,192 MB |
Replace 0F B6 51 0C 83 F2 01 with C6 41 0C 01 31 D2 90
py -c "open('C:\\Program Files\\Sublime Text\\sublime_text.exe', 'rb+').write(open('C:\\Program Files\\Sublime Text\\sublime_text.exe', 'rb').read().replace(b'\x0F\xB6\x51\x0C\x83\xF2\x01', b'\xC6\x41\x0C\x01\x31\xD2\x90'))"A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
Tested with:
Both are VirtualBox VMs on my Void Linux host. Both have been installed using the following options:
After the install, sudo apt update and sudo apt full-upgrade have been applied. A reboot was done next.
| ╭─── Claude Code v2.1.12 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮ | |
| │ │ Tips for getting started │ | |
| │ Welcome back Jonny! │ Run /init to create a CLAUDE.md file with instructions for Claude │ | |
| │ │ │ | |
| │ │ ───────────────────────────────────────────────────────────────── │ | |
| │ ▐▛███▜▌ │ Recent activity |
Add the following section to ~/.codex/AGENTS.md and save the companion luna_worker.toml as ~/.codex/agents/luna_worker.toml.
luna_worker when Luna can complete and verify them independently and delegation saves work or supervision. Suitable jobs include authorized releases through established procedures, focused web research, long-running scripts, batch processing, and straightforward implementation. Handle small operations directly by default, unless there are long waits, useful independent parallel work, or an explicit user request to delegate.| 🌞 Morning 155 commits █████████▋░░░░░░░░░░░ 46.1% | |
| 🌆 Daytime 6 commits ▍░░░░░░░░░░░░░░░░░░░░ 1.8% | |
| 🌃 Evening 3 commits ▏░░░░░░░░░░░░░░░░░░░░ 0.9% | |
| 🌙 Night 172 commits ██████████▊░░░░░░░░░░ 51.2% |
| Python ███████████████████░░░░░░░░░░░░░░░░░ 51.31% | |
| HTML ███████████░░░░░░░░░░░░░░░░░░░░░░░░░ 28.14% | |
| CSS ██████░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 15.96% | |
| JavaScript ██░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░░ 4.60% |
53 things from ~4 months of running an agent harness in production.
iii, the engine that powers the harness, is really cool too: https://iii.dev/docs/install