agent-personalizer

AI custom instructions from approved entries: a profile and rules for Claude Code, Codex, Cursor, Gemini CLI and ChatGPT, kept in sync from

A new way for AI to search for data
View on GitHub
9GitHub stars

JavaScript, shell

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit a3b377a968 (2026-10-06).

Selected work

Auny
@aunysillyme

“0.8.0 candidate: learns from your sessions, no questionnaire”. 19 files, 1,671 lines in bin, test, render.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-17. 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

agent-onboardingagents-mdai-agentschatgptclaude-codecodexcursorcustom-instructions

Example questions

The prompt

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

Search the GitHub repository aunysillyme/agent-personalizer with XERJ (https://hub.xerj.org/corpus/aunysillyme--agent-personalizer).
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/aunysillyme/agent-personalizer agent-personalizer && git -C agent-personalizer checkout a3b377a9684ba0eb6091e08a29671e0b8d504b01
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./agent-personalizer --url http://127.0.0.1:9200 --prefix agent-personalizer --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.