eyotang /
Metra
A lightweight cross-platform desktop bubble for checking Cursor, Codex, and Claude Code sign-in status, usage limits, reset times, token…
A new way for AI to search for data
5GitHub stars
What XERJ indexed
Selected work

“add native Omarchy usage panel and release v0.2.2”. 18 files, 938 lines in integrations, scripts, src-tauri.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-24. Same terms as the repository. Answers name the repo, the commit and the file:line.
in licence reviewnot in the hub yetsuggested use: adapt with attribution
Example questions
- Where does Metra handle “add native Omarchy usage panel and release v0.2.2”?
- What does integrations do in Metra?
The prompt
Paste it into your AI agent. It clones eyotang/Metra at the pinned commit and indexes it on your machine.
Search the GitHub repository eyotang/Metra with XERJ (https://hub.xerj.org/corpus/eyotang--metra). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/eyotang/Metra Metra && git -C Metra checkout 78d1a2a66eedba56ac08f84eab2e433b976170bc 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./Metra --url http://127.0.0.1:9200 --prefix metra --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
笨大神AI, prompts and agents corpora
Selected work and consent: the XERJ registry.