deployment

deployment is a skill for Claude Code, Codex from digitalocean-labs/do-app-platform-skills. It costs 46 tokens per session (1,929 once invoked), scanned A, original, MIT.

A guide for deploying applications to DigitalOcean App Platform through GitHub Actions, which automates work when code changes are pushed. It focuses on defining infrastructure in the repository and managing environments and secrets.

In plain words
What is it for?
Use it to create App Platform specifications, set up continuous deployment, deploy staging or production environments, and manage deployment secrets.
Why use it?
It keeps application settings and deployments repeatable, reducing manual deployment steps and configuration mistakes.

Skill for Claude CodeCodex

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

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Tip**: For complex projects, consider the **planner** skill for staged approaches. See [root SKILL.md](../../SKILL.md) for all skills..

Good fit Use it to create App Platform specifications, set up continuous deployment, deploy staging or production environments, and manage deployment secrets.

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/digitalocean-labs/do-app-platform-skills
agentmods
npx agentmods add skills/digitalocean-labs/do-app-platform-skills/deployment

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/digitalocean-labs/do-app-platform-skills/deployment/github.svg)](https://agentmods.dev/skills/digitalocean-labs/do-app-platform-skills/deployment)
Your own site
<a href="https://agentmods.dev/skills/digitalocean-labs/do-app-platform-skills/deployment"><img src="https://agentmods.dev/badge/skills/digitalocean-labs/do-app-platform-skills/deployment/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/digitalocean-labs/do-app-platform-skills/deployment"><img src="https://agentmods.dev/badge/skills/digitalocean-labs/do-app-platform-skills/deployment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,929 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00046 $0.01929
Opus 5 $0.00023 $0.00964
Sonnet 5 $0.00009 $0.00386
Haiku 4.5 $0.00005 $0.00193

Measured 9d ago against content hash 7f6b6dac11a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

deployment scanned grade A with 0 findings 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 9d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/deployment/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Deployment Skill

Deploy to App Platform using GitHub Actions and the app_action workflow.

Philosophy: PUSH Mode Deployment

This skill focuses on PUSH mode — where you define infrastructure as code and GitHub Actions drives deployment.

PULL MODE (Console-driven) — NOT covered by this skill
• Go to DigitalOcean Console → Create App → Point to GitHub
• App Platform auto-generates app spec
• Good for: Quick starts, manual one-offs

PUSH MODE (CLI/Actions-driven) — THIS SKILL
• Define app spec in repo (.do/app.yaml)
• Use GitHub Actions + app_action to deploy
• Good for: CI/CD, automation, GitOps, multi-environment

Tip: For complex projects, consider the planner skill for staged approaches. See root SKILL.md for all skills.


Quick Decision

Using GitHub Actions? (RECOMMENDED)
├── YES → Use digitalocean/app_action/deploy@v2
│         • Handles spec updates AND code deployments
│         • Manages app creation if doesn't exist
│         • Supports PR previews
│
└── NO (Manual/Scripting)
    ├── Spec changed? → doctl apps update --spec
    └── Code only? → doctl apps create-deployment
Command Purpose When to Use
doctl apps create --spec Create new app First deployment only
doctl apps update --spec Update app spec Config changes
doctl apps create-deployment Trigger rebuild Code changes only
app_action v2 Both spec + rebuild Recommended: Handles everything

Quick Start: Environment Setup

# 1. Create DigitalOcean projects
doctl projects create --name "myapp-staging" --environment "Staging"
doctl projects create --name "myapp-production" --environment "Production"

# 2. Create GitHub environments
gh api --method PUT repos/:owner/:repo/environments/staging
gh api --method PUT repos/:owner/:repo/environments/production

# 3. Set secrets per environment (user fills in values)
gh secret set DIGITALOCEAN_ACCESS_TOKEN --env staging
gh secret set DIGITALOCEAN_ACCESS_TOKEN --env production
gh variable set DO_PROJECT_ID --env staging --body "PROJECT_ID"
gh variable set DO_PROJECT_ID --env production --body "PROJECT_ID"

Read the full file on GitHub · 228 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 228 lines · 46 tokens per session scan A 7f6b6dac11a4

Subscribe to this mod's changes

deployment is a skill published in the GitHub repository digitalocean-labs/do-app-platform-skills (36 stars, last pushed 3d ago), licensed MIT. It adds 46 tokens to every session and 1,929 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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