What is foundry-runtime-audit?

A method for checking whether a codebase really uses an Azure AI Foundry project or runtime, rather than calling Azure OpenAI directly. Azure AI Foundry is Microsoft's platform for organizing AI projects and runtimes.

It is for auditing C# and Python repositories, distinguishing Foundry-style clients from direct Azure OpenAI clients, and checking migration compatibility.

It replaces assumptions based on names or documentation with evidence from package references, client construction, endpoints, and—when needed—Git history.

How alonf/MCPPythonDemo configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to alonf/MCPPythonDemo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/alonf/MCPPythonDemo/master/.squad/skills/foundry-runtime-audit/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/alonf/MCPPythonDemo

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/alonf/mcppythondemo/foundry-runtime-audit/github.svg)](https://agentmods.dev/skills/alonf/mcppythondemo/foundry-runtime-audit)

Your own site

<a href="https://agentmods.dev/skills/alonf/mcppythondemo/foundry-runtime-audit"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/foundry-runtime-audit/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/alonf/mcppythondemo/foundry-runtime-audit"><img src="https://agentmods.dev/badge/skills/alonf/mcppythondemo/foundry-runtime-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 403 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.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.00403
Opus 5.5	$0.00000	$0.00161
Sonnet 5.5	$0.00000	$0.00081
Haiku 4.5	$0.00000	$0.00040

Measured 2mo ago against content hash a42232a0fda3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

foundry-runtime-audit 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 2mo 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.

.squad/skills/foundry-runtime-audit/SKILL.md · 43 lines

What it actually says

Foundry Runtime Audit

Purpose

Determine whether a codebase is truly using an Azure AI Foundry project/runtime abstraction or merely calling Azure OpenAI directly.

When to use

A repo claims “Foundry” usage, but behavior is unclear
Migration parity depends on matching auth/client/runtime semantics
You need evidence from real code, not naming or branch assumptions

Procedure

Inspect package references
- C#: check .csproj for Azure.AI.Projects or project-runtime packages
- Python: check pyproject.toml / requirements for Foundry/project SDKs
Inspect runtime construction
- Direct Azure OpenAI usually looks like:
  - C#: new AzureOpenAIClient(endpoint, credential).GetChatClient(deployment)
  - Python: AzureOpenAI(azure_endpoint=..., api_version=...)
- Foundry-project usage should create a project/client/runtime object, not just endpoint + deployment
Check endpoint shape
- *.cognitiveservices.azure.com usually indicates direct Azure OpenAI resource usage
- Project-style config should expose explicit project/runtime concepts
Search the full repo history if needed
- Search for Foundry, AIProject, Azure.AI.Projects, project-runtime types
- Do not infer architecture from README wording alone
Run the real entrypoint
- Confirm what the live path actually tries to construct
- Even if startup fails, early initialization often proves whether the path is direct Azure OpenAI or project-backed

Output template

Current runtime type: direct Azure OpenAI / Foundry project runtime
Evidence: package refs, constructor calls, endpoint form, live run notes
Parity invariant: what downstream ports must match
Gap call: whether the gap is in the port, or already in the source system

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.

2mo ago First seen · 43 lines · 0 tokens per session scan A a42232a0fda3

Subscribe to this mod's changes

foundry-runtime-audit is a skill published in the GitHub repository alonf/MCPPythonDemo (0 stars, last pushed 6mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 403 tokens. 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.

Building agents

foundry-runtime-audit next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
foundry-runtime-auditalonf/MCPPythonDemo	Skill	0	6mo ago	MIT	A	0	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

MCPPythonDemo: Skill for Claude Code