python-appservice-deploy

A deployment workflow for running Python web applications—such as Flask, Django, or FastAPI—on Azure App Service Linux, Microsoft's managed web-hosting service.

In plain words
What is it for?
Use it to create or reuse an Azure resource group, hosting plan, and web app, configure the application startup command, and deploy the code.
Why use it?
It handles the common hosting setup and deployment steps so the developer does not need to configure the App Service resources and Python startup settings manually.

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/microsoft/azure-skills/python-appservice-deploy
Any agent
npx skills add microsoft/azure-skills --skill python-appservice-deploy
Clone the repo
git clone --depth 1 https://github.com/microsoft/azure-skills

Made for: Claude Code, Codex.

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 804 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00081 $0.00804
Opus 5 $0.00041 $0.00402
Sonnet 5 $0.00016 $0.00161
Haiku 4.5 $0.00008 $0.00080

Measured 2d ago against content hash 17a263999dfd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

python-appservice-deploy 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.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/generate-app-name.ps1, scripts/generate-app-name.sh, scripts/retry-az-create.ps1, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

- ⛔ **NO POST-DEPLOY VERIFICATION** — after deploy returns, do not run `az webapp log tail`, `curl`, `Invoke-WebRequest`, or any health probe. App Service needs 2–3 min to warm; a quiet log or early 5xx is not failure.
.github/plugins/azure-skills/skills/python-appservice-deploy/SKILL.md · 37 lines

How it starts

The opening of the file, as written. The whole thing — 37 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Python on Azure App Service — Code Deploy

Deploys Python (Flask, Django, FastAPI, generic) code to Azure App Service Linux (P0v3, Python 3.14). Creates RG + Plan + Web App if missing. Hand off to azure-prepare for VNet, Key Vault, databases, or IaC.

MCP tools used: mcp_azure_mcp_subscription_list, mcp_azure_mcp_group_list, mcp_azure_mcp_appservice, mcp_azure_mcp_azd (when azure.yaml is present).

Workflow

  1. Resolve context — smart defaults, minimal prompts. Only the app name is interactive; RG (<app>-rg), Plan (<app>-plan), region (current az default or eastus2), subscription are derived. create-app.md §1.
  2. Detect framework (advisory, never blocks). detect.md.
  3. Choose pathazure.yaml host: appservice → deploy-azd.md; else deploy-azcli.md.
  4. Ensure RG → Plan (P0v3 --is-linux) → Web App (--runtime "PYTHON:3.14") exist. On transient ARM errors, follow transient-retry.md. create-app.md.
  5. Set startup — Flask/Django: none (Oryx auto-detects). FastAPI: always python -m uvicorn main:app --host 0.0.0.0. Other: warn. startup-commands.md.
  6. Set SCM_DO_BUILD_DURING_DEPLOYMENT=true.
  7. Deployazd deploy or az webapp deploy --type zip --track-status false.
  8. STOP. Print the post-deploy message (post-deploy-message.md) and end the turn.

Hard rules

  • NO POST-DEPLOY VERIFICATION — after deploy returns, do not run az webapp log tail, curl, Invoke-WebRequest, or any health probe. App Service needs 2–3 min to warm; a quiet log or early 5xx is not failure.
  • SHELL SAFETY — for --runtime always use "PYTHON:3.14" (colon). Never "PYTHON|3.14" (pipe is a shell operator).
  • NEVER az webapp up — deprecated. Use Step 7 commands.
  • URL FORMAT — present endpoints as https://... URLs.

Read the full file on GitHub · 37 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. 2d ago First seen · 37 lines · 81 tokens per session scan A 17a263999dfd

Subscribe to this mod's changes

python-appservice-deploy is a skill published in the GitHub repository microsoft/azure-skills (1,439 stars, last pushed today), licensed MIT. It adds 81 tokens to every session and 804 once invoked, about $0.0004 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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