awesome-cursor-rules-mdc is a generator that creates Cursor MDC rule files from structured library information, using semantic search and language models to gather and organize guidance. Developers use it to produce reusable rules for libraries in Cursor, and the catalogue includes 200 of those rules.
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.
git clone --depth 1 https://github.com/sanjeed5/awesome-cursor-rules-mdcWrote 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/rules/sanjeed5/awesome-cursor-rules-mdc/microsoft-teams)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/microsoft-teams"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/microsoft-teams.svg" alt="Measured on agentmods" 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 | $0.02195 | $0.02195 |
| Opus 5 | $0.01097 | $0.01097 |
| Sonnet 5 | $0.00439 | $0.00439 |
| Haiku 4.5 | $0.00219 | $0.00219 |
Grade A, and why
microsoft-teams 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 4d 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 — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.
microsoft-teams Best Practices
Microsoft Teams is the backbone of enterprise collaboration. To build high-quality, maintainable, and performant applications, adhere to these definitive guidelines.
1. Code Organization and Structure
Always start with a standardized project structure and leverage modern tooling.
✅ Use Microsoft 365 Agents Toolkit for Project Scaffolding
The Microsoft 365 Agents Toolkit (formerly Teams Toolkit) provides the official project structure, linting rules, and CI/CD pipelines. It's the fastest way to a compliant and maintainable app.
❌ BAD: Manual project setup, inconsistent file organization.
// Don't manually create files and folders.
// This leads to inconsistent project structures.
// src/components/MyComponent.tsx
// src/api/teamsApi.ts
// ...
✅ GOOD: Generate with the toolkit.
# Use the VS Code extension or CLI
# This ensures a consistent, maintainable structure
# and pre-configured build/deploy scripts.
npm install -g @microsoft/teamsfx-cli # Or use the VS Code extension
teamsfx new --app-name my-teams-app --capabilities tab,bot
✅ Prefer TypeScript for All Development
TypeScript is mandatory for type safety, better tooling, and improved code quality.
❌ BAD: JavaScript for Teams app logic.
// myBotLogic.js
function handleMessage(context, message) {
// No type checking, prone to runtime errors
if (message.text.startsWith('/hello')) {
context.sendActivity(`Hello ${context.activity.from.name}!`);
}
}
✅ GOOD: TypeScript with explicit types.
// myBotLogic.ts
import { TurnContext, Activity } from 'botbuilder';
export async function handleMessage(context: TurnContext, activity: Activity): Promise<void> {
if (activity.text?.startsWith('/hello')) {
await context.sendActivity(`Hello ${activity.from?.name || 'there'}!`);
}
}
2. Common Patterns and Anti-patterns
Adopt established patterns for UI, interaction, and data handling.
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.
- 4d ago First seen · 309 lines · 2,195 tokens per session scan A 441a7ed87c44
microsoft-teams is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,571 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 2,195 tokens to every session, about $0.0110 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 2026-09-03.
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