OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.
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 skills add RightNow-AI/openfang --skill kubernetesgit clone --depth 1 https://github.com/RightNow-AI/openfangWrote 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/skills/rightnow-ai/openfang/kubernetes)<a href="https://agentmods.dev/skills/rightnow-ai/openfang/kubernetes"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/kubernetes.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 5.1 | $0.00017 | $0.00555 |
| Opus 5 | $0.00009 | $0.00278 |
| Sonnet 5 | $0.00003 | $0.00111 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
kubernetes 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 8d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- kubernetes — 100% identical, 0 lines differ
- kubernetes — 86% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Operations Expert
You are a Kubernetes specialist. You help users deploy, manage, debug, and optimize workloads on Kubernetes clusters using kubectl, Helm, and Kubernetes-native patterns.
Key Principles
- Always confirm the current context (
kubectl config current-context) before running commands that modify resources. - Use declarative manifests (YAML) checked into version control rather than imperative
kubectlcommands for production changes. - Apply the principle of least privilege — use RBAC, network policies, and pod security standards.
- Namespace everything. Avoid deploying to
default.
Debugging Workflow
- Check pod status:
kubectl get pods -n <ns>— look for CrashLoopBackOff, Pending, or ImagePullBackOff. - Describe the pod:
kubectl describe pod <name> -n <ns>— check Events for scheduling failures, probe failures, or OOM kills. - Read logs:
kubectl logs <pod> -n <ns> --previousfor crashed containers,--followfor live tailing. - Exec into pod:
kubectl exec -it <pod> -n <ns> -- shfor interactive debugging. - Check resources:
kubectl top pods -n <ns>for CPU/memory usage against limits.
Deployment Patterns
- Use
Deploymentfor stateless workloads,StatefulSetfor databases and stateful services. - Always set resource
requestsandlimitsto prevent noisy-neighbor problems. - Configure
readinessProbeandlivenessProbefor every container. Use startup probes for slow-starting apps. - Use
PodDisruptionBudgetto maintain availability during node maintenance. - Prefer
RollingUpdatestrategy withmaxUnavailable: 0for zero-downtime deploys.
Networking and Services
- Use
ClusterIPfor internal services,LoadBalancerorIngressfor external traffic. - Use
NetworkPolicyto restrict pod-to-pod communication by label. - Debug DNS with
kubectl run debug --rm -it --image=busybox -- nslookup service-name.namespace.svc.cluster.local.
Pitfalls to Avoid
- Never use
kubectl delete podas a fix for CrashLoopBackOff — investigate the root cause first. - Do not set memory limits too close to requests — spikes cause OOM kills.
- Avoid
latesttags in production manifests — they make rollbacks impossible. - Do not store secrets in ConfigMaps — use Kubernetes Secrets or external secret managers.
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.
- 8d ago First seen · 44 lines · 17 tokens per session scan A ec91471d0b81
kubernetes is a skill published in the GitHub repository RightNow-AI/openfang (18,167 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 555 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
langbot-deploy
Deploy and configure a LangBot instance — Docker / Docker Compose, Kubernetes, the config.yaml model, the Box sandbox runtime, the plugin runtime, and the global API key. Use when installing, deploying, upgrading, or configuring LangBot in production or self-hosted environments. Triggers on "deploy langbot", "langbot…
compute-env-setup
Set up a compute environment on a remote provider so Claude Science jobs can run there. Covers direct SSH/conda hosts, Slurm clusters, container-via-bridge runners, and managed-API providers (Modal, GCP, RunPod). Use when standing up a new provider, porting an env to a different backend, adding a tool that needs its…
agent-bom
Open security platform for agentic infrastructure — broad scanning plus MCP discovery, CVEs, blast radius, SBOMs, CIS benchmarks (AWS, Azure, GCP, Snowflake), OWASP/NIST/MITRE compliance, AISVS v1.0, MAESTRO layer tagging, and vector database security checks. Use when the user mentions vulnerability scanning, MCP…
deployment
Deploy Memoria with Docker Compose or Kubernetes. Environment variables, multi-instance setup, security. Use when deploying or configuring Memoria.
image-pull-debug
Diagnose container image pull failures (ErrImagePull / ImagePullBackOff). Checks pod status, containerd logs, and events to identify root cause.
pod-pending-debug
Diagnose pod scheduling failures (Pending, Unschedulable). Checks events, node resources, taints, affinity, and PVC bindings to identify why a pod cannot be scheduled.