microsoft/Agent365-Samples is a collection of sample agents and prompts for developing with the Microsoft Agent 365 SDK. It is for developers building agents for Microsoft 365, Teams, Copilot Studio, Webchat, and related development environments in several programming languages. The catalogue entries are examples and instructions built around these samples.
Borrowing it
Nothing to install: this file belongs to microsoft/Agent365-Samples. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/microsoft/Agent365-Samples/main/CLAUDE.mdgit clone --depth 1 https://github.com/microsoft/Agent365-SamplesWrote 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.
[](https://agentmods.dev/instructions/microsoft/agent365-samples/claude-md)<a href="https://agentmods.dev/instructions/microsoft/agent365-samples/claude-md"><img src="https://agentmods.dev/badge/instructions/microsoft/agent365-samples/claude-md/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.
<a href="https://agentmods.dev/instructions/microsoft/agent365-samples/claude-md"><img src="https://agentmods.dev/badge/instructions/microsoft/agent365-samples/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.02126 | $0.02126 |
| Opus 5.5 | $0.00850 | $0.00850 |
| Sonnet 5.5 | $0.00425 | $0.00425 |
| Haiku 4.5 | $0.00213 | $0.00213 |
Grade A, and why
Agent365-Samples CLAUDE.md 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Repository Overview
This is the Agent365-Samples repository containing sample agents demonstrating the Microsoft Agent 365 SDK across three languages (C#/.NET, Python, Node.js/TypeScript) and multiple AI orchestrators (OpenAI, Claude, Semantic Kernel, Agent Framework, LangChain, CrewAI, etc.).
The Microsoft Agent 365 SDK extends the Microsoft 365 Agents SDK with enterprise-grade capabilities for observability, notifications, MCP tooling, and runtime utilities.
Repository Structure
Agent365-Samples/
├── dotnet/ # C#/.NET samples
│ ├── agent-framework/ # Agent Framework orchestrator
│ └── semantic-kernel/ # Semantic Kernel orchestrator
├── python/ # Python samples
│ ├── agent-framework/
│ ├── openai/
│ ├── claude/
│ ├── crewai/
│ └── google-adk/
├── nodejs/ # Node.js/TypeScript samples
│ ├── openai/
│ ├── claude/
│ ├── langchain/
│ ├── devin/
│ ├── n8n/
│ ├── perplexity/
│ └── vercel-sdk/
├── agent-platforms/ # Agent platform samples (deployed into a SaaS platform)
│ └── salesforce/ # Salesforce/Apex samples (SFDX projects)
│ └── apex-observability/ # Native Apex Agent 365 observability + tool boundary
├── docs/ # Repository-wide documentation
│ └── design.md # Architectural patterns
├── prompts/ # AI development prompts
└── scripts/ # Utility scripts
Each language directory contains a docs/design.md with language-specific design patterns.
Common Development Commands
C# / .NET
Build:
dotnet build <path-to-sln-or-csproj>
Run:
dotnet run --project <path-to-csproj>
Solutions:
dotnet/agent-framework/AgentFrameworkSample.slndotnet/semantic-kernel/SemanticKernelSampleAgent.sln
Python
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.
- 1mo ago First seen · 275 lines · 2,126 tokens per session scan A 3680223dca74
Agent365-Samples CLAUDE.md is an instructions file published in the GitHub repository microsoft/Agent365-Samples (112 stars, last pushed yesterday), licensed MIT. It adds 2,126 tokens to every session, about $0.0085 per session on Opus 5.5. 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 2026-08-30.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.