Hassan Yousaf

Corpus Hub contributor since 2026-10-27

Hassan Yousaf's work was selected for the XERJ Corpus Hub, the open reference memory AI coding agents search before they write code. When an agent meets the same problem, it gets this implementation back as a worked example, with the author and the repository attached.

1corpus

1selected commit

51files

6,223lines

★ 1GitHub stars on repo

Totals across every corpus @EyEbRo53 appears in; a commit selected for two corpora counts once. Files and lines count the selected commits; each corpus indexes the whole repository at its pinned commit.

What an agent can do with the ricer corpus

EyEbRo53/ricer: AI-powered Linux ricing via natural language

Look up how ricer implements ai, automation, desktop-customization, with answers cited to file and line.
Reuse a worked example: the commit “-codex cli set as mcp client” (51 files · Python).
Answer from ricer's real Python source instead of memory (AI, prompts and agents).

Example questions

Where does ricer handle “-codex cli set as mcp client”?
How does ricer implement ai?
What does ricer-mcp do in ricer?

Paste it into your AI agent. It clones the repo at the pinned commit and indexes it on your machine.

Search the GitHub repository EyEbRo53/ricer with XERJ (https://hub.xerj.org/corpus/eyebro53--ricer).
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/EyEbRo53/ricer ricer && git -C ricer checkout 74765dab63d149432193b08a76a45571bef35c11
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./ricer --url http://127.0.0.1:9200 --prefix ricer --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-3.0. Read it for the approach only, do not copy code.

corpus eyebro53--ricer · AI, prompts and agents
Related corpora: adalflow, atomic-agents, khalilullahnaul/pointclicker, skyfireitdiy/Jarvis
AI search and retrieval with XERJ · Case study: reference coding for agents

Selected work

GitHub ★ 1

EyEbRo53/ricer

74765dab63 -codex cli set as mcp client

selected commit: 51 files · 6,223 lines · Python · ricer-mcp, UI, tests

The corpus is the whole repository at the pinned commit, not only the files of the selected commit.

live on the hub · licence clearedcorpus eyebro53--ricerAIGPL-3.0aiautomationdesktop-customizationlinuxllmmcp agreed 2026-10-27

[![XERJ Corpus Hub contributor](https://hub.xerj.org/contributors/EyEbRo53/badge.svg)](https://hub.xerj.org/contributors/EyEbRo53)

Included with the author's permission (email, 2026-10-27), under each repository's own licence, with attribution. Own more repositories? Sign in with GitHub and add them. Want something removed? Reply to the email, withdraw it on /add, or open an issue on xerj-org/xerj.