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.
git clone --depth 1 https://github.com/digitalocean-labs/do-app-platform-skillsnpx agentmods add skills/digitalocean-labs/do-app-platform-skills/deploymentWrote 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/digitalocean-labs/do-app-platform-skills/deployment)<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.
<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>- 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 | $0.00046 | $0.01929 |
| Opus 5 | $0.00023 | $0.00964 |
| Sonnet 5 | $0.00009 | $0.00386 |
| Haiku 4.5 | $0.00005 | $0.00193 |
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.
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"
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.
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.
- 9d ago First seen · 228 lines · 46 tokens per session scan A 7f6b6dac11a4
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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