soc-evals

Score a managed SOC proposal against the five questions that decide whether it works

A new way for AI to search for data
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8commits on main
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v1.0latest release, 2026-10-19

Python 100% · created 2026-10-19 · last push 2026-10-31

What XERJ indexed

Snapshot

10 files · 20.5 KB

The whole repository at commit cfe1ffc2a0. It is the newest commit on main.

Selected work

Rahman Khan
@rahmankhanjohn

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 2026-10-30. 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

climit-licensepythonsecurity-evaluationsoczero-dependenciessoc-as-a-service

Example questions

The prompt

Paste it into your AI agent. It clones rahmankhanjohn/soc-evals at the pinned commit and indexes it on your machine.

Search the GitHub repository rahmankhanjohn/soc-evals with XERJ (https://hub.xerj.org/corpus/rahmankhanjohn--soc-evals).
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/rahmankhanjohn/soc-evals soc-evals && git -C soc-evals checkout cfe1ffc2a0c082cbdd13ea6f0a84144d10bd1c60
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./soc-evals --url http://127.0.0.1:9200 --prefix soc-evals --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

Stats: GitHub API, fetched 2026-10-31. Snapshot: the git tree at the pinned commit. Selected work and consent: the XERJ registry.