The Agent Skills Directory

[REMOTE_CODE_EXECUTION]: The provided Python example (app.py) utilizes joblib.load() to initialize the model. Deserializing data using libraries like joblib or pickle is a known security vulnerability that allows for arbitrary code execution if the input file (e.g., model.pkl) is malicious or originates from an untrusted source.
Evidence: model = joblib.load("model.pkl") in the lifespan function of app.py.
[EXTERNAL_DOWNLOADS]: The skill's deployment workflow and Docker configuration rely on fetching external dependencies and container images. This creates a supply chain risk where the security of the deployed service depends on the integrity of third-party package registries and container repositories.
Evidence: RUN pip install --no-cache-dir -r requirements.txt in the Dockerfile.
Evidence: image: registry.example.com/ml-model-api:v1.0.0 in k8s-deployment.yaml.

model-deployment