luyh7 /
codex-usage-dashboard
luyh7/codex-usage-dashboard (Rust)
A new way for AI to search for data
7GitHub stars
What XERJ indexed
Selected work
“Prepare v1.0.1 skill and standalone release candidates”. 20 files, 1,327 lines in crates/usage-core, tools, crates/usage-server.
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 codex-usage-dashboard handle “Prepare v1.0.1 skill and standalone release candidates”?
- What does crates/usage-core do in codex-usage-dashboard?
The prompt
Paste it into your AI agent. It clones luyh7/codex-usage-dashboard at the pinned commit and indexes it on your machine.
Search the GitHub repository luyh7/codex-usage-dashboard with XERJ (https://hub.xerj.org/corpus/luyh7--codex-usage-dashboard). 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/luyh7/codex-usage-dashboard codex-usage-dashboard && git -C codex-usage-dashboard checkout a6d9a661507d2b764ac9ec85f621d2ceab17e563 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./codex-usage-dashboard --url http://127.0.0.1:9200 --prefix codex-usage-dashboard --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
luyuhaoAPI design and specification corpora
Selected work and consent: the XERJ registry.