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 cosmix/loom --skill loom-kubernetesgit clone --depth 1 https://github.com/cosmix/loomWrote 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/cosmix/loom/loom-kubernetes)<a href="https://agentmods.dev/skills/cosmix/loom/loom-kubernetes"><img src="https://agentmods.dev/badge/skills/cosmix/loom/loom-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 | $0.00016 | $0.06809 |
| Opus 5 | $0.00008 | $0.03404 |
| Sonnet 5 | $0.00003 | $0.01362 |
| Haiku 4.5 | $0.00002 | $0.00681 |
Grade A, and why
loom-kubernetes scanned grade A with 1 finding 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
kubectl run test --image=busybox --restart=Never -it --rm -- wget -T2 -O- http://target-service How it starts
The opening of the file, as written. The whole thing — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes
Overview
Production Kubernetes resource design, security hardening, Helm, and operations. The annotated examples below and the Expert Practices section carry the load-bearing knowledge — most production failures here are silent (no API error, no event), surfacing only under load, node maintenance, or a hardened cluster.
Workload & Identity Cheatsheet
| Kind | Identity guarantee | Use for |
|---|---|---|
| Deployment | Fungible pods, random names, no ordering | Stateless services |
| StatefulSet | Stable ordinal identity + DNS + per-pod PVC; ordered rollout (OrderedReady) |
Databases, quorum systems, sharded stores |
| DaemonSet | One pod per (matching) node | Node agents: logging, CNI, node-exporter |
| Job/CronJob | Run-to-completion / scheduled | Batch, migrations, backups |
Rollout knobs: strategy.rollingUpdate.maxSurge/maxUnavailable (Deployment); maxUnavailable + partition (StatefulSet). imagePullPolicy: IfNotPresent for immutable tags/digests; Always only for mutable tags (adds a registry round-trip per start).
Examples
Production Deployment (annotated)
apiVersion: apps/v1
kind: Deployment
metadata:
name: api-server
namespace: production
labels: {app: api-server, version: v1.2.0}
spec:
replicas: 3
strategy:
type: RollingUpdate
rollingUpdate: {maxSurge: 1, maxUnavailable: 0}
selector:
matchLabels: {app: api-server}
template:
metadata:
labels: {app: api-server, version: v1.2.0}
annotations: {prometheus.io/scrape: "true", prometheus.io/port: "8080"}
spec:
serviceAccountName: api-server
securityContext:
runAsNonRoot: true
runAsUser: 1000
fsGroup: 1000
seccompProfile:
type: RuntimeDefault # REQUIRED by Restricted PSS; omitting it = pod rejected
containers:
- name: api
image: myregistry.io/api-server:v1.2.0
imagePullPolicy: IfNotPresent
ports: [{name: http, containerPort: 8080}]
env:
- name: DATABASE_URL
valueFrom: {secretKeyRef: {name: api-secrets, key: database-url}}
resources:
requests: {cpu: 100m, memory: 128Mi}
limits: {memory: 512Mi} # memory limit kept; CPU limit omitted (see CFS throttling)
# startupProbe gates liveness/readiness — prefer over a large initialDelaySeconds
startupProbe:
httpGet: {path: /health/live, port: http}
failureThreshold: 30 # 30 * 10s = 5 min startup budget
periodSeconds: 10
livenessProbe:
httpGet: {path: /health/live, port: http} # process health ONLY — no DB/cache/upstream
periodSeconds: 20
failureThreshold: 3
readinessProbe:
httpGet: {path: /health/ready, port: http} # may check dependencies; drains, not restarts
periodSeconds: 10
failureThreshold: 3
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
capabilities: {drop: [ALL]}
volumeMounts:
- {name: tmp, mountPath: /tmp}
volumes:
- {name: tmp, emptyDir: {}}
# soft node spread + hard zone spread with per-revision isolation (see Expert Practices)
affinity:
podAntiAffinity:
preferredDuringSchedulingIgnoredDuringExecution:
- weight: 100
podAffinityTerm:
labelSelector: {matchLabels: {app: api-server}}
topologyKey: kubernetes.io/hostname
topologySpreadConstraints:
- maxSkew: 1
topologyKey: topology.kubernetes.io/zone
whenUnsatisfiable: DoNotSchedule
labelSelector: {matchLabels: {app: api-server}}
matchLabelKeys: [pod-template-hash] # each rollout revision spreads independently (1.27+)
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.
- 4d ago Changed · -30 tokens per session 78a9bb663a27
- 8d ago First seen · 503 lines · 46 tokens per session scan A 1668345931ef
loom-kubernetes is a skill published in the GitHub repository cosmix/loom (54 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 6,809 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
wrangler
Run or troubleshoot Wrangler CLI commands and configure Worker projects for local development, deployment, and Cloudflare resource management.
aws-cloudformation-ecs
Provides AWS CloudFormation patterns for ECS clusters, task definitions, services, container definitions, auto scaling, blue/green deployments, CodeDeploy integration, ALB integration, service discovery, monitoring, logging, template structure, parameters, outputs, and cross-stack references. Use when creating ECS…
configure-log-aggregation
Set up centralized log aggregation with Loki and Promtail (or ELK stack), including log parsing, label extraction, retention policies, and integration with metrics for correlation. Use when consolidating logs from multiple services into a searchable system, replacing local log files with centralized queryable storage…
deploy-to-kubernetes
Deploy applications to Kubernetes clusters using kubectl manifests for Deployments, Services, ConfigMaps, Secrets, and Ingress resources. Implement health checks, resource limits, rolling updates, and Helm chart packaging for production deployments. Use when deploying new applications to EKS, GKE, AKS, or self-hosted…
configure-reverse-proxy
Configure reverse proxy patterns across multiple tools including Nginx, Traefik, and ShinyProxy. Covers WebSocket proxying, path-based and host-based routing, SSL termination, and Docker label auto-discovery. Use when routing multiple services behind a single entry point, proxying WebSocket connections (Shiny…
deploy-shinyproxy
Deploy ShinyProxy for hosting multiple containerized Shiny applications. Covers ShinyProxy Docker deployment, application.yml configuration, Shiny app Docker images, authentication, container backends, usage tracking, and scaling. Use when hosting multiple Shiny apps behind a single entry point, needing per-app…