deployment-patterns

A guide to deploying Python applications, including continuous integration and delivery (CI/CD), Docker containers, health checks, and rollback plans.

In plain words
What is it for?
Use it to design deployment pipelines, package Python services, check whether deployed applications are healthy, or plan release recovery.
Why use it?
It helps make releases repeatable and provides ways to detect failed deployments and return to a working version.

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/manikosto/claude-code-python-stack/deployment-patterns
Any agent
npx skills add manikosto/claude-code-python-stack --skill deployment-patterns
Clone the repo
git clone --depth 1 https://github.com/manikosto/claude-code-python-stack

Made for: Claude Code, Codex.

Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 870 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin unknown 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 $0.00025 $0.00870
Opus 5 $0.00013 $0.00435
Sonnet 5 $0.00005 $0.00174
Haiku 4.5 $0.00003 $0.00087

Measured 2d ago against content hash 752ec3c32039, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 2d 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.

HEALTHCHECK --interval=30s --timeout=3s CMD python -c "import urllib.request; urllib.request.urlopen('http://localhost:8000/health/')" || exit 1
skills/deployment-patterns/SKILL.md · 123 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 123 lines · 25 tokens per session scan A 752ec3c32039

Subscribe to this mod's changes

deployment-patterns is a skill published in the GitHub repository manikosto/claude-code-python-stack (47 stars, last pushed 5mo ago), with no licence file. It adds 25 tokens to every session and 870 once invoked, about $0.0001 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 2026-08-30.

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