Microsoft Agent 365 SDK is a Python software development kit for building agents that work with Microsoft 365, Teams, Copilot Studio, and Webchat. Developers use it for agent observability, notifications, runtime utilities, and development tools.
Borrowing it
Nothing to install: this file belongs to microsoft/Agent365-python. 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-python/main/CLAUDE.mdgit clone --depth 1 https://github.com/microsoft/Agent365-pythonWrote 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-python/claude-md)<a href="https://agentmods.dev/instructions/microsoft/agent365-python/claude-md"><img src="https://agentmods.dev/badge/instructions/microsoft/agent365-python/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-python/claude-md"><img src="https://agentmods.dev/badge/instructions/microsoft/agent365-python/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 | $0.02689 | $0.02689 |
| Opus 5.5 | $0.01076 | $0.01076 |
| Sonnet 5.5 | $0.00538 | $0.00538 |
| Haiku 4.5 | $0.00269 | $0.00269 |
Grade A, and why
Agent365-python 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 — 292 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.
Project Overview
Microsoft Agent 365 SDK for Python - Enterprise-grade extensions for building production-ready AI agents for M365, Teams, Copilot Studio, and Webchat. This is a multi-package monorepo organized as a uv workspace with 13 interdependent packages.
Python Version: 3.11+ (3.11 and 3.12 tested in CI)
For detailed architecture and design documentation, see docs/design.md, which includes:
- Complete package descriptions and usage examples
- Design patterns (Singleton, Context Manager, Builder, Result, Strategy)
- Data flow diagrams for agent invocation tracing and MCP tool discovery
- Configuration options and environment variables
- Per-package design documents in
libraries/<package-name>/docs/design.md
Development Commands
Setup
# Create and activate virtual environment
python -m venv .venv
source .venv/bin/activate # Windows: .venv\Scripts\activate
# Install dependencies (locks and syncs all workspace packages)
uv lock && uv sync --locked --all-extras --dev
Building
# Build all packages (requires version environment variable)
export AGENT365_PYTHON_SDK_PACKAGE_VERSION="0.1.0" # Windows: $env:AGENT365_PYTHON_SDK_PACKAGE_VERSION = "0.1.0"
uv build --all-packages --wheel
# Built wheels are output to dist/
Testing
# Run all unit tests (excludes integration tests)
uv run --frozen pytest tests/ -v --tb=short -m "not integration"
# Run specific test file
uv run --frozen pytest tests/runtime/test_environment_utils.py -v
# Run tests matching pattern
uv run --frozen pytest tests/ -k "environment" -v
# Run integration tests (requires secrets/environment variables)
uv run --frozen pytest -m integration -v --tb=short
# Run with coverage report
pytest tests/ --cov=libraries --cov-report=html -v
Test markers:
unit: Fast, mocked tests (default)integration: Slow tests requiring real services/API keys
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 · 292 lines · 2,689 tokens per session scan A a72fbfefd1ea
Agent365-python CLAUDE.md is an instructions file published in the GitHub repository microsoft/Agent365-python (41 stars, last pushed 2d ago), licensed MIT. It adds 2,689 tokens to every session, about $0.0108 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.
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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.
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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.
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).