aibot88 Probe ML and LLM systems for regressions and vulnerabilities with Giskard
Run automated red-team and failure scans against an LLM or RAG app before users find the breakage.
Prerequisites
Python environment, Giskard open-source package, model or RAG application access, test datasets or prompts, model provider credentials where required
Installation
Choose whichever fits your setup:
- Copy this skill folder into your local skills directory.
- Clone the repo and symlink or copy the skill into your agent workspace.
- Add the repo as a git submodule if you manage shared skills centrally.
- Install it through your internal provisioning or packaging workflow.
- Download the folder directly from GitHub and place it in your skills collection.
Install command or upstream instructions:
Install the Giskard open-source package in a Python environment, connect it to the target model or RAG workflow, then run the documented scan or evaluation flows and review the reported failures.