roboflow-training-and-evaluation
Use when training Roboflow models, improving accuracy, or setting up a production feedback loop — covers architecture selection, model IDs, checkpoints, evaluation metrics, the iterative improvement playbook, and Active Learning through the Project Model Workflow block.
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Low
Low-risk findings worth noting
Low
Low-risk findings.
2 low severity findings. Worth noting, but not necessarily harmful.
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
In `roboflow-active-learning`, the skill’s required workflow uses a Project Model block with Active Learning review queues that ingest user-generated production inference images and predictions as pre-annotations, so outsider-authored content can be submitted via the user’s running app inputs into the collection/review loop at runtime.
W012: Unverifiable external dependency detected (runtime URL that controls agent).
What this means
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.
Why it was flagged
The skill explicitly allows fetching MCP resources at roboflow://skills/... (e.g., roboflow://skills/training-and-evaluation/active-learning and roboflow://skills/training-and-evaluation/improvement-playbook) via ReadMcpResourceTool as a runtime fallback, which would load remote skill content that can directly drive agent instructions; therefore these roboflow://skills/... URIs are flagged.
- Repository
- roboflow/computer-vision-skills
- Commit
f3b2cbd
- Audited
- Security analysis
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