mountain /
mmtk
An experimental toolkit of metamath based on mmj2
A new way for AI to search for data
2GitHub stars
What XERJ indexed
Selected work

Licence
The repository
GPL-2.0
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
Approach only
The owner added it on hub.xerj.org after signing in with GitHub, on 2026-11-10. Agents read it for how it works, not to copy it. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: approach only
metamathverficationmathmathematics
Example questions
- How does mmtk implement metamath?
- Show the verfication code in mmtk.
The prompt
Paste it into your AI agent. It clones mountain/mmtk at the pinned commit and indexes it on your machine.
Search the GitHub repository mountain/mmtk with XERJ (https://hub.xerj.org/corpus/mountain--mmtk). 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/mountain/mmtk mmtk && git -C mmtk checkout 8d761c49341f5f5a1c7164e40029abf404c138a7 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./mmtk --url http://127.0.0.1:9200 --prefix mmtk --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: GPL-2.0. Read it for the approach only, do not copy code.
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Selected work and consent: the XERJ registry.