Use PathML for local, research-only computational pathology workflows: load and tile slides, build preprocessing and QC pipelines, manage h5path data, quantify multiplex images, construct spatial graphs, and plan bounded model inference.
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Critical
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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.
These are remote ONNX model binaries hosted on a user-space Hugging Face account that the skill downloads at construction time without built-in checksums/signatures or isolation, making them unverified executable artifacts that could be used to deliver malware or exploit runtime/parser vulnerabilities.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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 skill documents that classes like SegmentMIFRemote and RemoteTestHoverNet perform an HTTP GET at construction to fetch ONNX model artifacts (e.g., https://huggingface.co/pathml/test/resolve/main/mesmer.onnx and https://huggingface.co/pathml/test/resolve/main/hovernet_fast_tiatoolbox_fixed.onnx) which are then loaded/run locally (i.e., executing externally fetched model artifacts at runtime).
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