ads-copilot: Skill for Claude Code

.github/skills/foundry-ads-session/SKILL.md

foundry-ads-session is a skill for Claude Code, Codex from HaoZhang615/ads-copilot. It costs 148 tokens per session (2,887 once invoked), scanned A, original, MIT.

A guided architecture-planning conversation for Microsoft Foundry, Microsoft's platform for building and running AI applications and agents. It gathers requirements across AI and machine-learning use cases and helps produce a Foundry-based design.

In plain words
What is it for?
Use it to plan enterprise chat systems, AI agents, multi-agent workflows, retrieval-augmented generation, fine-tuning, batch inference, or real-time scoring.
Why use it?
It helps turn a broad AI idea into a documented solution with suitable models, agents, data retrieval, evaluation, deployment, and governance choices.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code.

This is HaoZhang615/ads-copilot's own configuration. It tells Claude Code and Codex how to work on ads-copilot itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ads-copilot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to HaoZhang615/ads-copilot. 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/HaoZhang615/ads-copilot/main/.github/skills/foundry-ads-session/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/HaoZhang615/ads-copilot

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.

agentmods badge for foundry-ads-session

README.md
[![agentmods](https://agentmods.dev/badge/skills/haozhang615/ads-copilot/foundry-ads-session.svg)](https://agentmods.dev/skills/haozhang615/ads-copilot/foundry-ads-session)
Your own site
<a href="https://agentmods.dev/skills/haozhang615/ads-copilot/foundry-ads-session"><img src="https://agentmods.dev/badge/skills/haozhang615/ads-copilot/foundry-ads-session.svg" alt="Measured on agentmods" height="20"></a>
Per session 148 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,887 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00148 $0.02887
Opus 5 $0.00074 $0.01443
Sonnet 5 $0.00030 $0.00577
Haiku 4.5 $0.00015 $0.00289

Measured 8d ago against content hash b2d7d1718bfc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

foundry-ads-session 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 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (foundry-ads-session/scripts/generate_architecture.py, scripts/generate_architecture.py), 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.

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.

.github/skills/foundry-ads-session/SKILL.md · 180 lines

How it starts

The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Microsoft Foundry ADS Session

This skill provides domain-specific knowledge for Microsoft Foundry (Microsoft Foundry) to be used within an Architecture Design Session. The ADS methodology (persona, pacing, session structure, decision narration, trade-off framework, self-critique) is defined in the runtime system prompt. This skill supplies the Foundry-specific questions, patterns, components, and references that the methodology operates on.

Domain: Microsoft Foundry

This skill covers the Microsoft Foundry unified AI platform including:

  • Resource Model: Foundry resource (Microsoft.CognitiveServices/account kind=AIServices) + project subresource; Classic Hub (Microsoft.MachineLearningServices/workspaces kind=Hub) + Project (legacy, still supported as Foundry Classic)
  • SDK / API: azure-ai-projects v1.0.0 (GA Jul 2025, Foundry Classic) and v2.0.0b4+ (Preview Feb 2026, new Foundry portal); azure-ai-inference, azure-ai-evaluation, azure-ai-agents; OpenAI-compatible client via get_openai_client()
  • Agent Service: Multi-agent framework (MAF), hosted agents (LangGraph, custom frameworks), standard vs basic agent setup; Foundry MCP Server (mcp.ai.azure.com)
  • Model Deployment: GlobalStandard, GlobalProvisionedManaged, GlobalBatch, DataZoneStandard, DataZoneProvisionedManaged, DataZoneBatch, Standard, ProvisionedManaged, DeveloperTier; MaaS (serverless) vs MaaP (managed online endpoint)
  • Networking: Public, Private Link (privatelink.cognitiveservices.azure.com), Managed VNet with outbound rules; agent subnet injection (RFC-1918 /24)
  • Identity & Security: Managed Identity (system/user-assigned), Entra ID, DefaultAzureCredential; RBAC roles (Azure AI User, Azure AI Project Manager, Contributor); CMK encryption; Content Safety; Key Vault
  • Observability: Azure Monitor, Application Insights, OpenTelemetry tracing via azure-ai-projects; token usage metrics, latency, evaluation scores
  • Enterprise Patterns: Landing zone integration, hub-spoke networking, multi-region design, dev/test/prod, governance, cost management, chargeback

Read the full file on GitHub · 180 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. 8d ago First seen · 180 lines · 148 tokens per session scan A b2d7d1718bfc

Subscribe to this mod's changes

foundry-ads-session is a skill published in the GitHub repository HaoZhang615/ads-copilot (2 stars, last pushed 6mo ago), licensed MIT. It adds 148 tokens to every session and 2,887 once invoked, about $0.0007 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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