roboflow-data-management
Use when uploading images, labeling, organizing datasets, creating Roboflow projects (detection/segmentation/keypoint/classification), tags, splits, versions, or RoboQL search.
77
66%
Does it follow best practices?
Impact
94%
1.40xAverage score across 3 eval scenarios
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/data-management/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
W011: Third-party content exposure detected (indirect prompt injection risk)
What this means
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.
Why it was flagged
Third-party content exposure detected (high risk: 0.80). The skill explicitly ingests and operates on user-generated and public datasets (e.g., "Universe fork" under Uploading Data in SKILL.md) and includes runtime workflows that surface user-provided textual labeling instructions and per-batch content (see "Add labeling instructions" in labeling.md's Jobs & Assignment), so the agent is expected to read and act on untrusted third-party content that could influence actions.
- Repository
- roboflow/computer-vision-skills
- Commit
02936d5
- Audited
- Security analysis
Is this your skill?
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.