agent-product-factory

Autonomous AI Agent Skills to build, verify, and package commercial digital products with zero-tolerance offline QA gates

A new way for AI to search for data
View on GitHub
7GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit f0fd0683ad.

Selected work

Yanstd
@yanstd888

Licence

The repository

MIT

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-28. Same terms as the repository. Answers name the repo, the commit and the file:line.

selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution

agent-skillsai-agentsdigital-productshermes-agentindie-hackerpassive-incomepythonqa-automation

Example questions

The prompt

Paste it into your AI agent. It clones yanstd888/agent-product-factory at the pinned commit and indexes it on your machine.

Search the GitHub repository yanstd888/agent-product-factory with XERJ (https://hub.xerj.org/corpus/yanstd888--agent-product-factory).
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/yanstd888/agent-product-factory agent-product-factory && git -C agent-product-factory checkout f0fd0683ad89e53653b9caff56904cfea267c83c
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agent-product-factory --url http://127.0.0.1:9200 --prefix agent-product-factory --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.