Authors and runs Giskard LLM scans - adversarial test-case generation for LLM applications via `giskard.scan(model)` covering 7 vulnerability categories (hallucination, harmful_content, prompt_injection, sensitive_information_disclosure, stereotypes, robustness, basic_sycophancy); wraps any callable model behind `giskard.Model(model_predict, model_type="text_generation", ...)`; emits HTML report. Use when the user needs adversarial / red-team coverage on top of functional eval suites.
75
94%
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Low
Low-risk findings worth noting
{
"name": "testland/giskard-llm",
"version": "1.3.5",
"summary": "Authors and runs Giskard LLM scans - adversarial test-case generation for LLM applications via `giskard.scan(model)` covering 7 vulnerability categories (hallucination, harmful_content, prompt_injection, sensitive_information_disclosure, stereotypes, robustness, basic_sycophancy); wraps any callable model behind `giskard.Model(model_predict, model_type=\"text_generation\", ...)`; emits HTML report. Use when the user needs adversarial / red-team coverage on top of functional eval suites.",
"private": false,
"skills": {
"giskard-llm": {
"path": "SKILL.md"
}
}
}