hook-everything

AI skills for human-sounding copy and ethical hooks, with a zero-dependency slop scanner

A new way for AI to search for data
View on GitHub
20GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 818614e7b1.

Selected work

Asa
@Vumb-VibeCoder

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 2026-11-04. 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

agentagent-skillagent-skillschatgptclaudeclaude-aiclaude-skillclaude-skills

Example questions

The prompt

Paste it into your AI agent. It clones Vumb-VibeCoder/hook-everything at the pinned commit and indexes it on your machine.

Search the GitHub repository Vumb-VibeCoder/hook-everything with XERJ (https://hub.xerj.org/corpus/vumb-vibecoder--hook-everything).
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/Vumb-VibeCoder/hook-everything hook-everything && git -C hook-everything checkout 818614e7b1604d2535e409082260b916d7271cd7
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./hook-everything --url http://127.0.0.1:9200 --prefix hook-everything --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.