ScaleAI/aspi

ASPI — Ambiguous State Prompt Injection ASPI is a benchmark that measures LLM-agent vulnerability to prompt injection during a clarification state. It extends AgentDojo (v1.2.2) with an 8-condition design that varies state (execution vs clarification), channel (tool-output vs first-user vs follow-up-user), and wrapper (raw attacker text vs ImportantInstructionsAttack-wrapped) so that the state effect is paired-comparable against the channel effect and the wrapper effect. When a… See the full description on the dataset page: https://huggingface.co/datasets/ScaleAI/aspi.

<iframe src="https://silytics.si/embed/item/d643195f-0589-4a1c-a276-625d7a1827ef" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.