agent-flow

Explicitly invoked Codex skill for verified Agent Flow workflows

A new way for AI to search for data
View on GitHub
21GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 7441cc98ea (2026-09-18).

Selected work

Sergey Vishniakov
@svishniakov

“Publish only Codex plugin archives in numbered releases”. 5 files, 355 lines in scripts.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-13. 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

The prompt

Paste it into your AI agent. It clones svishniakov/agent-flow at the pinned commit and indexes it on your machine.

Search the GitHub repository svishniakov/agent-flow with XERJ (https://hub.xerj.org/corpus/svishniakov--agent-flow).
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/svishniakov/agent-flow agent-flow && git -C agent-flow checkout 7441cc98ea5a26d5c870e92870cbe6f8e9581dae
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agent-flow --url http://127.0.0.1:9200 --prefix agent-flow --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.