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/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cosmix/loom/loom-kubernetes"><img src="https://agentmods.dev/badge/skills/cosmix/loom/loom-kubernetes.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00035 | $0.06826 |
| Opus 5.5 | $0.00014 | $0.02730 |
| Sonnet 5.5 | $0.00007 | $0.01365 |
| Haiku 4.5 | $0.00003 | $0.00683 |
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 1mo 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 — 502 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.
- 1mo ago Changed · -1 lines · +19 tokens per session e9880450d238
- 1mo ago Changed · -30 tokens per session 78a9bb663a27
- 1mo ago First seen · 503 lines · 46 tokens per session scan A 1668345931ef
loom-kubernetes is a skill published in the GitHub repository cosmix/loom (63 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 6,826 once invoked, about $0.0001 per session on Opus 5.5. 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.
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