deployment-patterns

deployment-patterns is a skill for Claude Code, Codex from nklofy/code-agent-skills. It costs 31 tokens per session (2,850 once invoked), scanned A, a copy of deployment-patterns, Apache-2.0.

A set of production deployment patterns for web applications, including CI/CD, Docker, health checks, rollout methods, and rollback planning.

In plain words
What is it for?
Planning rolling, blue-green, or canary deployments; creating CI/CD pipelines; containerizing an application; adding health checks; and preparing production release checklists.
Why use it?
It helps teams plan safer releases and reduce downtime or failed deployments. It also clarifies how to handle environment settings and verify that a new version is ready.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is RUN CGO_ENABLED=0 GOOS=linux go build -ldflags="-s -w" -o /server ./cmd/server.

Good fit Planning rolling, blue-green, or canary deployments; creating CI/CD pipelines; containerizing an application; adding health checks; and preparing production release checklists.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/nklofy/code-agent-skills
agentmods
npx agentmods add skills/nklofy/code-agent-skills/deployment-patterns

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for deployment-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/nklofy/code-agent-skills/deployment-patterns/github.svg)](https://agentmods.dev/skills/nklofy/code-agent-skills/deployment-patterns)
Your own site
<a href="https://agentmods.dev/skills/nklofy/code-agent-skills/deployment-patterns"><img src="https://agentmods.dev/badge/skills/nklofy/code-agent-skills/deployment-patterns/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.

agentmods 80×15 button for deployment-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/nklofy/code-agent-skills/deployment-patterns"><img src="https://agentmods.dev/badge/skills/nklofy/code-agent-skills/deployment-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,850 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.02850
Opus 5 $0.00015 $0.01425
Sonnet 5 $0.00006 $0.00570
Haiku 4.5 $0.00003 $0.00285

Measured 6d ago against content hash 37c9c9f20daf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deployment-patterns 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.

CMD wget --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1
Origin

This is a copy

97% identical to deployment-patterns — 14 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

affaan-m-ECC/deployment-patterns/SKILL.md · 429 lines

How it starts

The opening of the file, as written. The whole thing — 429 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deployment Patterns

Production deployment workflows and CI/CD best practices.

When to Activate

  • Setting up CI/CD pipelines
  • Dockerizing an application
  • Planning deployment strategy (blue-green, canary, rolling)
  • Implementing health checks and readiness probes
  • Preparing for a production release
  • Configuring environment-specific settings

Deployment Strategies

Rolling Deployment (Default)

Replace instances gradually — old and new versions run simultaneously during rollout.

Instance 1: v1 → v2  (update first)
Instance 2: v1        (still running v1)
Instance 3: v1        (still running v1)

Instance 1: v2
Instance 2: v1 → v2  (update second)
Instance 3: v1

Instance 1: v2
Instance 2: v2
Instance 3: v1 → v2  (update last)

Pros: Zero downtime, gradual rollout Cons: Two versions run simultaneously — requires backward-compatible changes Use when: Standard deployments, backward-compatible changes

Blue-Green Deployment

Run two identical environments. Switch traffic atomically.

Blue  (v1) ← traffic
Green (v2)   idle, running new version

# After verification:
Blue  (v1)   idle (becomes standby)
Green (v2) ← traffic

Pros: Instant rollback (switch back to blue), clean cutover Cons: Requires 2x infrastructure during deployment Use when: Critical services, zero-tolerance for issues

Canary Deployment

Route a small percentage of traffic to the new version first.

v1: 95% of traffic
v2:  5% of traffic  (canary)

# If metrics look good:
v1: 50% of traffic
v2: 50% of traffic

# Final:
v2: 100% of traffic

Pros: Catches issues with real traffic before full rollout Cons: Requires traffic splitting infrastructure, monitoring Use when: High-traffic services, risky changes, feature flags

Docker

Multi-Stage Dockerfile (Node.js)

# Stage 1: Install dependencies
FROM node:22-alpine AS deps
WORKDIR /app
COPY package.json package-lock.json ./
RUN npm ci --production=false

# Stage 2: Build
FROM node:22-alpine AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
RUN npm run build
RUN npm prune --production

# Stage 3: Production image
FROM node:22-alpine AS runner
WORKDIR /app

RUN addgroup -g 1001 -S appgroup && adduser -S appuser -u 1001
USER appuser

COPY --from=builder --chown=appuser:appgroup /app/node_modules ./node_modules
COPY --from=builder --chown=appuser:appgroup /app/dist ./dist
COPY --from=builder --chown=appuser:appgroup /app/package.json ./

ENV NODE_ENV=production
EXPOSE 3000

HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD wget --no-verbose --tries=1 --spider http://localhost:3000/health || exit 1

CMD ["node", "dist/server.js"]

Read the full file on GitHub · 429 lines

Changes

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.

  1. 6d ago First seen · 429 lines · 31 tokens per session scan A 37c9c9f20daf

Subscribe to this mod's changes

deployment-patterns is a skill published in the GitHub repository nklofy/code-agent-skills (18 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 2,850 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 97% identical to deployment-patterns, differing in 14 lines, and is treated as a copy.

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