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
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/azure-pipelines)<a href="https://agentmods.dev/rules/sanjeed5/awesome-cursor-rules-mdc/azure-pipelines"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/azure-pipelines/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/rules/sanjeed5/awesome-cursor-rules-mdc/azure-pipelines"><img src="https://agentmods.dev/badge/rules/sanjeed5/awesome-cursor-rules-mdc/azure-pipelines.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 | $0.02780 | $0.02780 |
| Opus 5 | $0.01390 | $0.01390 |
| Sonnet 5 | $0.00556 | $0.00556 |
| Haiku 4.5 | $0.00278 | $0.00278 |
Grade A, and why
azure-pipelines 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 9d 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 — 421 lines — stays where its author put it; the contents beside it link to each section on GitHub.
azure-pipelines Best Practices
Azure Pipelines are the backbone of modern CI/CD. This guide enforces a YAML-first, security-conscious, and highly automated approach to pipeline development.
Code Organization and Structure
Always define pipelines using YAML for version control, reusability, and clarity. Structure your pipelines using multi-stage designs and leverage templates for common patterns.
1. Embrace Multi-Stage Pipelines
Separate distinct phases (Build, Test, Deploy) into stages. This provides clear logical separation, enables independent quality gates, and improves visibility.
❌ BAD: Monolithic pipeline with all steps in one job.
# azure-pipelines.yml
jobs:
- job: BuildAndDeploy
steps:
- script: dotnet build
- script: dotnet test
- script: az webapp deploy
✅ GOOD: Clearly defined stages for build, test, and deployment.
# azure-pipelines.yml
stages:
- stage: Build
jobs:
- job: BuildApp
steps:
- script: dotnet build
- publish: $(Build.ArtifactStagingDirectory)
artifact: drop
- stage: Test
dependsOn: Build
jobs:
- job: RunTests
steps:
- download: current
artifact: drop
- script: dotnet test --logger "trx;LogFileName=test-results.trx"
- task: PublishTestResults@2
inputs:
testResultsFormat: 'VSTest'
testResultsFiles: '**/*.trx'
- stage: Deploy
dependsOn: Test
condition: succeeded('Test') # Only deploy if tests pass
jobs:
- deployment: DeployApp
environment: 'Production' # Use environments for approvals and checks
strategy:
runOnce:
deploy:
steps:
- download: current
artifact: drop
- script: az webapp deploy --resource-group MyResourceGroup --name MyApp --src-path $(Pipeline.Workspace)/drop
2. Leverage Templates for Reusability
Define common stages, jobs, or steps in reusable templates. This keeps your pipelines DRY, consistent, and easier to maintain.
❌ BAD: Copy-pasting build steps across multiple azure-pipelines.yml files.
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.
- 9d ago First seen · 421 lines · 0 tokens per session scan A 2cc7c3291e81
azure-pipelines is a cursor rule published in the GitHub repository sanjeed5/awesome-cursor-rules-mdc (3,570 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 2,780 tokens to every session, about $0.0139 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 2026-08-30.
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Run Agents Shipgate as the deterministic merge gate for AI-generated agent capability changes.
beanstalk-deploy
Robust deployment patterns for Elastic Beanstalk with GitHub Actions, Pulumi, and edge case handling.
workflow-ci
Testing and verification workflow expectations.
cursor-asdd
ASDD contribution rules for this repository.
agents
Agent engineering standards — Agents (TR-SEC-003).
infra-devops
Infrastructure, Cloud, Terraform, Docker & CI/CD Agent.