aman696 /
aidetector
Built a hybrid AI-image detection pipeline using classical image-forensics features and DINOv2 embeddings with leakage-safe training and…
A new way for AI to search for data
1GitHub stars
What XERJ indexed
Selected work

“Add real classical-detector demo API and image-testing page”. 4 files, 343 lines in demo, tests, the project root.
Licence
The repository
MIT
Checked by a person at the pinned commit.
The XERJ corpus
MIT, with credit
The author agreed by email on 2026-10-22. 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
Example questions
- Where does aidetector handle “Add real classical-detector demo API and image-testing page”?
- What does demo do in aidetector?
The prompt
Paste it into your AI agent. It clones aman696/aidetector at the pinned commit and indexes it on your machine.
Search the GitHub repository aman696/aidetector with XERJ (https://hub.xerj.org/corpus/aman696--aidetector). 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/aman696/aidetector aidetector && git -C aidetector checkout 9a7d98d8cce480b7a9325bb662298a2d6ea09f20 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./aidetector --url http://127.0.0.1:9200 --prefix aidetector --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
aman696AI, prompts and agents corpora
Selected work and consent: the XERJ registry.