Real-time XR video vs. protocol text matching and deviation detection. Aligns first-person XR headset video streams frame-by-frame against structured protocol steps, flags procedural deviations, scores compliance, and delivers corrective audio/visual overlays — enabling one-person lab operation with zero-missed-step guarantees.
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
The required workflow ingests “protocol text from multiple sources” (e.g., protocols.io JSON, Benchling ELN entries, plain-text SOPs/PDF/DOCX) and then uses VLM/OCR over the live XR video stream at runtime, so outsider-authored content can be injected into those protocol inputs and directly ingested without first selecting a specific trusted item.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
The skill takes external protocol files at runtime that would be fetched and parsed to drive agent instructions, specifically "protocols.io:dx.doi.org/10.17504/protocols.io.rneasy-v3" and "opentrons://protocol/drug-screening-v4.json", which directly control prompts/behavior.
df37802
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.