Kubernetes DevOps Toolkit
v1.0.0Manage, deploy, monitor, and troubleshoot Kubernetes clusters with tools for multi-cluster control, resource monitoring, log aggregation, and Helm support.
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byLv Lancer@kaiyuelv
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (Kubernetes cluster management, deployment, monitoring, Helm support) align with the included Python module, examples, tests, and requirements. The code uses the kubernetes Python client, references kubeconfig paths, and implements listing/switching contexts, pods, nodes, logs, diagnostics and Helm operations — all consistent with the stated purpose.
Instruction Scope
SKILL.md documents expected operations and dependencies and directs use of a kubeconfig (~/.kube/config) and optional tools (kubectl/helm). The runtime instructions and examples operate on cluster state (contexts, pods, events, logs) which is appropriate. There are no instructions to read unrelated system files or to transmit data to external endpoints outside normal Kubernetes/Helm interactions.
Install Mechanism
This is instruction-only (no packaged install spec), but the repository includes requirements.txt listing standard Python packages (kubernetes, PyYAML, requests, etc.). Installing via pip from requirements.txt is expected and acceptable, but note that pip installs code from PyPI — standard but worth auditing in high-security environments.
Credentials
The skill declares no required environment variables or secrets. It expects access to a kubeconfig file (default ~/.kube/config) which is the appropriate credential surface for Kubernetes operations. There are no unrelated credentials requested.
Persistence & Privilege
The skill is not always:true and does not request persistent platform privileges. It can be invoked autonomously (platform default), which is expected — note that autonomous invocation plus the ability to change cluster state means you should only enable it for trusted agents/users and clusters.
Assessment
This package appears coherent for Kubernetes operations. Before installing: (1) Review and control which kubeconfig the skill will use — kubeconfig files contain cluster credentials and should be treated as sensitive. (2) Run the package in a safe/test environment first (no-production kubeconfig) to verify behavior, especially HelmManager operations that can modify resources. (3) If you require stricter supply-chain controls, install dependencies in an isolated environment and audit the HelmManager implementation (and any parts of the core module not fully shown here) for any unexpected network calls or shell execution. If you don't want a skill that can modify cluster state, avoid enabling it for autonomous agent use.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.