Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
72
62%
Does it follow best practices?
Impact
88%
1.49xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/omero-integration/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
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.
Third-party content exposure detected (high risk: 0.80). The skill instructs the agent to connect to external OMERO servers and programmatically retrieve and read user-provided content (images, Map/File/Comment annotations, files) via calls like conn.getObject, image.listAnnotations, metadataService.loadSpecifiedAnnotations and raw file downloads (see references/data_access.md and references/metadata.md), and that untrusted content is used in workflows and scripts to drive analysis or processing decisions.
b58ad7e
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.