Security audit
Security checks for vulnerabilities and agentic risk
This Kubernetes troubleshooting skill needs review because its node-repair instructions can affect workloads without clearly requiring user approval or safety checks.
Use a read-only Kubernetes account initially and explicitly select the intended cluster and namespace. Require approval before cleanup, process termination, or workload changes. Preserve relevant logs and confirm maintenance is complete before uncordoning: this resumes scheduling onto the node, as explained in [Kubernetes maintenance guidance](https://kubernetes.io/docs/tasks/administer-cluster/safely-drain-node/).
The supplied code performs policy-listing calls rather than the declared diagnostic behavior. Nothing in the snippet establishes policy enumeration as a supporting Kubernetes troubleshooting step. The function implementation is absent, so its target resources and side effects cannot be determined.
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
Args:
name: Pod name
namespace: Kubernetes namespace
context: Optional kubeconfig context
Returns:
Dictionary with diagnostic information
The activation list treats mentions such as "debug", "broken", "logs", and "stuck" as triggers, although these commonly occur in unrelated requests. The surrounding Kubernetes description provides context, but the explicit trigger rules do not require a Kubernetes resource or cluster context, creating ambiguity about when the skill should activate.
The decision tree recommends cleaning up images and logs, killing processes, and uncordoning nodes without checking operational constraints or requiring approval. In an agent troubleshooting skill, these instructions could lead to deletion of diagnostic evidence, disruption of workloads, or scheduling onto a node intentionally cordoned for maintenance; the risk depends on the agent's permissions and whether it executes remediation automatically.
No suspicious patterns detected.