Query and browse evaluation results stored in MLflow. Use when the user wants to look up runs by invocation ID, compare metrics across models, fetch artifacts (configs, logs, results), or set up the MLflow MCP server. ALWAYS triggers on mentions of MLflow, experiment results, run comparison, invocation IDs in the context of results, or MLflow MCP setup.
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Critical
Do not install without reviewing
Security
1 critical severity finding. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
The curl | sh installer hosted on astral.sh is a direct remote shell script (high-risk), and the GitHub repo is an individual account (potentially unvetted) that could distribute executable code; the docs link itself is benign.
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 workflow uses MLflow MCP to fetch run artifacts via tools like `MLflow:get_artifact_content(...)` (e.g., `config.yml`, `eval_factory_metrics.json`) from MLflow at runtime; since these artifacts are created by others’ runs outside the operating user, their content can be treated as outsider-authored free text injected into the agent’s LLM context.
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 troubleshooting section instructs installing uv by piping a remote install script to sh (curl -LsSf https://astral.sh/uv/install.sh | sh), which fetches and executes remote code at runtime, creating a high-confidence risk.
33d05b0
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