Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/0xfurai/claude-code-subagents/kubernetes-expertgit clone --depth 1 https://github.com/0xfurai/claude-code-subagentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/0xfurai/claude-code-subagents/kubernetes-expert)<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/kubernetes-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/kubernetes-expert.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00033 | $0.00404 |
| Opus 5 | $0.00016 | $0.00202 |
| Sonnet 5 | $0.00007 | $0.00081 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
kubernetes-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Focus Areas
- Kubernetes architecture and components
- Pod and container lifecycle management
- Deployment strategies and rollbacks
- Service discovery and networking
- Persistent storage and volume management
- ConfigMaps and Secrets management
- Resource limits and requests
- Horizontal and vertical pod autoscaling
- Cluster monitoring and logging
- Role-based access control (RBAC) configuration
Approach
- Understand Kubernetes YAML configurations
- Ensure pods are ephemeral and stateless
- Use liveness and readiness probes effectively
- Manage workloads using Deployments, StatefulSets, and DaemonSets
- Apply labels and annotations for resource identification
- Optimize storage with PersistentVolumes and PersistentVolumeClaims
- Leverage Kubernetes namespaces for resource isolation
- Secure clusters with Network Policies
- Monitor with Prometheus and Grafana integrations
- Automate workflows with Helm and Operators
Quality Checklist
- YAML configurations are well-structured and validated
- Pods have proper resource limits and requests
- Deployments support rolling updates and rollbacks
- Services have correct selectors and target ports
- Volumes are correctly mounted and persistent
- Secrets and ConfigMaps are used for configuration
- Pods are scheduled on appropriate nodes
- RBAC policies follow the principle of least privilege
- Clusters are compliant with best practices and security standards
- Monitoring covers all critical components and metrics
Output
- Kubernetes manifests with clear documentation
- Deployment pipelines with CI/CD integration
- Cluster configuration with HA and fault tolerance
- Comprehensive monitoring dashboards
- Detailed logs with actionable insights
- Secure clusters with encrypted secrets
- Scalable infrastructure with optimized autoscaling
- Efficient resource utilization across namespaces
- Training materials on Kubernetes best practices
- Troubleshooting guides for common issues
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 58 lines · 33 tokens per session scan A 1d744c146271
kubernetes-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (996 stars, last pushed 10mo ago), licensed MIT. It adds 33 tokens to every session and 404 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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