Test ML models with Giskard's scan() vulnerability detector + test catalog (performance, robustness, fairness, data leakage, ethical issues) for tabular and NLP models. Wrap a prediction function in giskard.Model + a DataFrame in giskard.Dataset; emit test suites that pass/fail in CI. Use when a trained tabular or NLP model is about to ship with no test suite of its own, or when a feature-engineering or hyperparameter change needs a pre-merge scan for newly introduced vulnerabilities.
87%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Passed
No findings from the security scan
The owner of this plugin can generate scenarios and run an eval with the Tessl CLI.
tessl scenario generatetessl eval run