deploy

A deployment-configuration guide for identifying a project's technology and generating Docker, continuous integration and delivery, and infrastructure files. It also covers environment variables, health checks, logging, and deployment safeguards.

In plain words
What is it for?
Use it to create a secure Dockerfile, a GitHub Actions workflow, an .env.example file, a /health endpoint, and basic monitoring setup.
Why use it?
It helps turn a project into a consistently buildable and deployable service while documenting required configuration.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/amelmo/loadout/deploy
Any agent
npx skills add AmElmo/loadout --skill deploy
Clone the repo
git clone --depth 1 https://github.com/AmElmo/loadout

Made for: Claude Code, Codex.

Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 225 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00015 $0.00225
Opus 5 $0.00008 $0.00112
Sonnet 5 $0.00003 $0.00045
Haiku 4.5 $0.00002 $0.00022

Measured yesterday against content hash b9715d8bf7c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

deploy 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 yesterday.

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.

fixtures/home/.agents/skills/deploy/SKILL.md · 27 lines

What it actually says

Deploy

Generate production-ready deployment configurations for the current project:

  1. Detect: Identify project type, runtime, package manager, framework
  2. Dockerfile: Multi-stage build optimized for size and security (non-root user)
  3. CI/CD: GitHub Actions workflow — lint, test, build, deploy
  4. Env template: .env.example with all required variables documented
  5. Health check: /health endpoint returning service status and version
  6. Monitoring: Basic structured logging and error reporting setup

Best Practices

  • Use specific base image tags (not latest)
  • Cache dependency installation layers
  • Run as non-root user in production
  • Include HEALTHCHECK instruction in Dockerfile
  • Use GitHub Environments for staging/production secrets
  • Add deployment protection rules for production
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. yesterday First seen · 27 lines · 15 tokens per session scan A b9715d8bf7c0

Subscribe to this mod's changes

deploy is a skill published in the GitHub repository AmElmo/loadout (9 stars, last pushed 4mo ago), licensed MIT. It adds 15 tokens to every session and 225 once invoked, about $0.0001 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 2026-08-31.

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