process-sop

An illustrative five-stage information processing pipeline: input reception, context analysis, tool invocation, content synthesis, and quality verification

A new way for AI to search for data
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11commits on master
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JavaScript 73.1%, CSS 25.4%, HTML 1.6% · created 2026-09-09 · last push 2026-10-25

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit d4422196cc. It is the newest commit on master.

Selected work

Fazal Abbas
@fazal305

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 2026-10-29. 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

javascriptreactvitevitestreact-routervercelworkflow-visualization

Example questions

The prompt

Paste it into your AI agent. It clones fazal305/process-sop at the pinned commit and indexes it on your machine.

Search the GitHub repository fazal305/process-sop with XERJ (https://hub.xerj.org/corpus/fazal305--process-sop).
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/fazal305/process-sop process-sop && git -C process-sop checkout d4422196ccdb4730613c2aab334ed80a1794fed0
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./process-sop --url http://127.0.0.1:9200 --prefix process-sop --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 2026-10-29. Selected work and consent: the XERJ registry.