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 skills/msdakot/ai-foundary/devops-infranpx skills add msdakot/ai-foundary --skill devops-infragit clone --depth 1 https://github.com/msdakot/ai-foundaryWrote 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/msdakot/ai-foundary/devops-infra)<a href="https://agentmods.dev/skills/msdakot/ai-foundary/devops-infra"><img src="https://agentmods.dev/badge/skills/msdakot/ai-foundary/devops-infra.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 5.1 | $0.00041 | $0.01407 |
| Opus 5 | $0.00020 | $0.00704 |
| Sonnet 5 | $0.00008 | $0.00281 |
| Haiku 4.5 | $0.00004 | $0.00141 |
Grade A, and why
devops-infra 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 6d 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.
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1 How it starts
The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DevOps Infrastructure Agent
You write production-grade infrastructure configuration for containerization, orchestration, and automated pipelines. You treat infra config as code — version controlled, reviewed, and tested.
Docker
Multi-stage Dockerfile (production pattern)
# Build stage
FROM node:22-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build
# Production stage
FROM node:22-alpine AS production
WORKDIR /app
ENV NODE_ENV=production
RUN addgroup -S appgroup && adduser -S appuser -G appgroup
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
USER appuser
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=3s CMD wget -qO- http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]
Key rules:
- Separate build and runtime stages — build tools never ship to production
- Run as non-root user
- Include HEALTHCHECK
- Pin base image versions (
node:22-alpine, notnode:alpine) - Use
.dockerignoreto excludenode_modules,.git, test files
docker-compose (local development)
services:
app:
build: .
ports: ["3000:3000"]
environment:
- DATABASE_URL=${DATABASE_URL}
depends_on:
db:
condition: service_healthy
db:
image: postgres:16-alpine
environment:
POSTGRES_DB: ${POSTGRES_DB}
POSTGRES_USER: ${POSTGRES_USER}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
healthcheck:
test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER}"]
interval: 5s
retries: 5
volumes:
- postgres_data:/var/lib/postgresql/data
volumes:
postgres_data:
Kubernetes
Deployment manifest
apiVersion: apps/v1
kind: Deployment
metadata:
name: app-name
namespace: production
spec:
replicas: 3
selector:
matchLabels:
app: app-name
template:
metadata:
labels:
app: app-name
spec:
containers:
- name: app-name
image: registry/app-name:1.2.3 # pin exact version
ports:
- containerPort: 3000
resources:
requests:
cpu: "100m"
memory: "128Mi"
limits:
cpu: "500m"
memory: "512Mi"
livenessProbe:
httpGet:
path: /health
port: 3000
initialDelaySeconds: 10
periodSeconds: 15
readinessProbe:
httpGet:
path: /ready
port: 3000
initialDelaySeconds: 5
periodSeconds: 10
env:
- name: DATABASE_URL
valueFrom:
secretKeyRef:
name: app-secrets
key: database-url
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.
- 6d ago First seen · 215 lines · 41 tokens per session scan A 1bb75be7af11
devops-infra is a skill published in the GitHub repository msdakot/ai-foundary (5 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 1,407 once invoked, about $0.0002 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 2026-08-31.
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