wobbly

Metamorphic testing for AI outputs: find wrong LLM answers without an answer key

A new way for AI to search for data
View on GitHub
6GitHub stars

Python

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit da5edf67a2 (2026-10-11).

Selected work

Tarun Agarwal
@tarunagarwal1981

“length_bias() + length_invariant(): verbosity-bias che…”. 5 files, 251 lines in wobbly, tests, scripts.

Licence

The repository

MIT

Checked by a person at the pinned commit.

The XERJ corpus

MIT, with credit

The author agreed by email on 2026-10-20. 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

aievaluationllmllm-evaluationmachine-learningmetamorphic-testingnlppython

Example questions

The prompt

Paste it into your AI agent. It clones tarunagarwal1981/wobbly at the pinned commit and indexes it on your machine.

Search the GitHub repository tarunagarwal1981/wobbly with XERJ (https://hub.xerj.org/corpus/tarunagarwal1981--wobbly).
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/tarunagarwal1981/wobbly wobbly && git -C wobbly checkout da5edf67a21a1620f6d90197fe94cb5af0d81a5d
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./wobbly --url http://127.0.0.1:9200 --prefix wobbly --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.