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.
What it does
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
Use the upstream install or setup path that matches your environment:
- pip install giskard
Requirements and caveats from upstream:
- Requires Python 3.12+.
Basic usage or getting-started notes:
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sh
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Telemetry: Libraries built on giskard-core (including giskard-checks) may send optional, aggregated usage analytics to help improve the product. No prompts, model outputs, or scenario text are included. See [w...
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Extracted from upstream docs: https://raw.githubusercontent.com/Giskard-AI/giskard-oss/HEAD/README.md
Documentation
Source
Capabilities
Install
Quality
deterministic score 0.45 from registry signals: · indexed on github topic:agent-skills · 8 github stars · SKILL.md body (1,141 chars)