Use when training Roboflow models or improving accuracy - covers architecture selection, model IDs, checkpoints, evaluation metrics, and the iterative improvement playbook.
60
70%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/training-and-evaluation/SKILL.mdSecurity
2 findings — 2 medium severity. 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: 0.70). The SKILL.md explicitly instructs the agent to "search community models on Roboflow Universe" and to "Fork from Universe" (community models/datasets), which are public, user-generated resources that the agent would ingest and use to select checkpoints or data—i.e., untrusted third‑party content that can influence training/decisions (see "Universe Model Search" and "Fork from Universe" references).
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.
Potentially malicious external URL detected (high risk: 0.90). The skill explicitly states that clients may fetch MCP fallback resources at runtime using ReadMcpResourceTool for roboflow://skills/<name>/... URIs, and those fetched skill pages would directly supply the agent's instruction/content, so this is a runtime external dependency that can control prompts.
02936d5
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