mdat

CLI tool and TypeScript library to turn comments into content in Markdown files. MDAT makes it easy to generate and update dynamic…

A new way for AI to search for data
View on GitHub
5GitHub stars

TypeScript

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 798c382185 (2026-10-04).

Selected work

Eric Mika
@kitschpatrol

“Add agent skills and readme rule.”. 4 files, 215 lines in src/lib, the project root.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-09. 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

clicommentsdocsmarkdownreadmetemplatemdatnpm-package

Example questions

The prompt

Paste it into your AI agent. It clones kitschpatrol/mdat at the pinned commit and indexes it on your machine.

Search the GitHub repository kitschpatrol/mdat with XERJ (https://hub.xerj.org/corpus/kitschpatrol--mdat).
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/kitschpatrol/mdat mdat && git -C mdat checkout 798c38218548069178d1b5eff569e7ae1ea10626
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./mdat --url http://127.0.0.1:9200 --prefix mdat --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

Selected work and consent: the XERJ registry.