The Agent Skills Directory

[COMMAND_EXECUTION]: The scripts scripts/agent.py and scripts/process.py execute kubectl commands using the subprocess module to retrieve cluster metadata and apply labels. This is necessary for the skill's stated purpose of managing Kubernetes admission controllers and follows best practices by using list-based argument passing to mitigate command injection risks.
[EXTERNAL_DOWNLOADS]: The documentation references standard Python libraries (kubernetes, pyyaml) and command-line tools (kubectl, jq) which are well-known and expected in a Kubernetes development environment. These dependencies are required for the skill to interact with the Kubernetes API.
[DATA_EXFILTRATION]: The skill processes cluster metadata (pod specifications and namespace labels) to generate compliance reports. The analysis confirmed that this data is either displayed in the console or saved to a local JSON file as requested by the user, with no unauthorized network transmission detected.

implementing-pod-security-admission-controller