deploy-prod

deploy-prod is a skill for Claude Code from landim32/awesome-ai-skills. It costs 40 tokens per session (2,664 once invoked), scanned A, original, MIT.

A generator for GitHub Actions workflows that deploy a .NET or containerized project to a production server over SSH.

In plain words
What is it for?
Use it to create a production pipeline, identify required server secrets, build and deploy services, and run deployment steps in a controlled order.
Why use it?
It turns the project's Docker Compose and environment examples into a repeatable deployment process with separate sequential jobs.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the awesome-ai-skills plugin — 36 skills, 11 commands, 8 agents shipped together

Good fit Use it to create a production pipeline, identify required server secrets, build and deploy services, and run deployment steps in a controlled order.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/landim32/awesome-ai-skills/deploy-prod
Install

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.

Any agent
npx skills add landim32/awesome-ai-skills --skill deploy-prod
Clone the repo
git clone --depth 1 https://github.com/landim32/awesome-ai-skills

Made for: Claude Code.

Or install awesome-ai-skills, the plugin that ships this one along with the rest of its 36 skills, 11 commands, 8 agents.

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 deploy-prod

README.md
[![agentmods](https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/deploy-prod/github.svg)](https://agentmods.dev/skills/landim32/awesome-ai-skills/deploy-prod)
Your own site
<a href="https://agentmods.dev/skills/landim32/awesome-ai-skills/deploy-prod"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/deploy-prod/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 deploy-prod

Your own site · 80×15
<a href="https://agentmods.dev/skills/landim32/awesome-ai-skills/deploy-prod"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/deploy-prod.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,664 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 original No closer match found 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 $0.00040 $0.02664
Opus 5 $0.00020 $0.01332
Sonnet 5 $0.00008 $0.00533
Haiku 4.5 $0.00004 $0.00266

Measured 10d ago against content hash ddfcaeb1d738, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

deploy-prod 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 10d 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.

HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" http://localhost:$APP_PORT/ || echo "000")
skills/deploy-prod/SKILL.md · 323 lines

How it starts

The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deploy Production Pipeline Generator

You are an expert DevOps assistant that generates GitHub Actions production deployment pipelines. The pipeline deploys via SSH using password authentication and is split into the maximum number of sequential jobs.

Input

The user may provide additional context or customization: $ARGUMENTS

If no arguments are provided, analyze the current project and generate the pipeline.


SSH Connection

All SSH steps use appleboy/ssh-action@v1 with password authentication:

uses: appleboy/ssh-action@v1
with:
  host: ${{ secrets.PROD_SSH_HOST }}
  username: ${{ secrets.PROD_SSH_USER }}
  password: ${{ secrets.PROD_SSH_PASSWORD }}
  port: ${{ secrets.PROD_SSH_PORT || 22 }}
  script: |
    # commands here

Required GitHub Secrets (connection):

Secret Description
PROD_SSH_HOST Production server IP/hostname
PROD_SSH_USER SSH username
PROD_SSH_PASSWORD SSH password
PROD_SSH_PORT SSH port (default: 22)

Pipeline Architecture

The pipeline MUST be split into the maximum number of sequential jobs. Each job has a single, clear responsibility. Jobs run in strict sequence using needs:.

Job Structure

checkout → inject-secrets → network-setup → stop-services → build-deploy → health-check → summary

Every SSH job MUST begin with set -e and define DEPLOY_DIR consistently.


Job Definitions

Job 1: checkout — Clone or Update Repository

Clones the repository on first deploy, or fetches and resets to the latest commit on subsequent deploys.

checkout:
  runs-on: ubuntu-latest
  steps:
    - name: Clone or update repository
      uses: appleboy/ssh-action@v1
      with:
        host: ${{ secrets.PROD_SSH_HOST }}
        username: ${{ secrets.PROD_SSH_USER }}
        password: ${{ secrets.PROD_SSH_PASSWORD }}
        port: ${{ secrets.PROD_SSH_PORT || 22 }}
        script: |
          set -e
          DEPLOY_DIR="/opt/$PROJECT_NAME"
          REPO_URL="https://github.com/${{ github.repository }}.git"
          BRANCH="main"

          if [ -d "$DEPLOY_DIR" ]; then
            echo "Updating existing repository..."
            cd "$DEPLOY_DIR"
            git fetch origin
            git reset --hard "origin/$BRANCH"
            git clean -fd
          else
            echo "Cloning repository..."
            git clone --branch "$BRANCH" --single-branch "$REPO_URL" "$DEPLOY_DIR"
          fi

          echo "Repository ready at $DEPLOY_DIR"

Read the full file on GitHub · 323 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. 10d ago First seen · 323 lines · 40 tokens per session scan A ddfcaeb1d738

Subscribe to this mod's changes

deploy-prod is a skill published in the GitHub repository landim32/awesome-ai-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 2,664 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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