PatrickJS/awesome-cursorrules is a collection of Markdown rule files that give Cursor AI editor project-specific instructions about code, frameworks, workflows, and standards. Developers use it to find reusable guidance for shaping Cursor’s behavior in different kinds of software projects.
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.
npx agentmods add rules/patrickjs/awesome-cursorrules/nodejs-mongodb-jwt-express-react-cursorrules-prompgit clone --depth 1 https://github.com/PatrickJS/awesome-cursorrulesWrote 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/patrickjs/awesome-cursorrules/nodejs-mongodb-jwt-express-react-cursorrules-promp)<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/nodejs-mongodb-jwt-express-react-cursorrules-promp"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/nodejs-mongodb-jwt-express-react-cursorrules-promp.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 | $0.00443 | $0.00443 |
| Opus 5 | $0.00221 | $0.00221 |
| Sonnet 5 | $0.00089 | $0.00089 |
| Haiku 4.5 | $0.00044 | $0.00044 |
Grade A, and why
nodejs-mongodb-jwt-express-react-cursorrules-promp 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 2d 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.
This is a copy
97% identical to nodejs-mongodb-cursorrules-prompt-file-tutorial — 94 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Tech Stack:
Backend: Node.js with Express.js
Database: MongoDB with Mongoose ODM
Frontend: React.js (for admin panel, if required)
Authentication: JSON Web Tokens (JWT)
Version Control: Git
Deployment: Docker (optional)
Precision in User Requirements:
Strictly adhere to specified user flow and game rules.
Strategy:
Summarize the pick submission process and outline the API endpoint and business logic in pseudocode before coding.
Strategic Planning with Pseudocode:
Begin each feature with detailed pseudocode.
Example: Provide pseudocode for the weekly scoring process, detailing steps from game result input to entry status updates.
Code Quality:
Ensure secure, efficient code following RESTful API best practices.
Implement proper error handling and input validation.
User Flow:
Users browse available Pools
Submit up to 3 Requests per Pool
Complete payment for Requests
Admin approves/rejects Requests
Approved Requests become Entries
Entry Management:
Each user can have up to 3 Entries per Pool
Entries are numbered 1, 2, 3
Picks are made and tracked separately for each Entry
Pick Management:
Users make Picks for each Entry separately
Picks can be updated until deadline (game start or 1PM Sunday of the current week of the pick)
Scoring and Ranking:
Picks scored after games complete
Win: Entry moves to next week
Loss: Entry eliminated from Pool
Each Entry ranked separately in Pool standings
Results and Standings:
Users view Picks/scores for each Entry separately
Pool standings show all Entries (multiple per User possible)
Pool members can view all Picks after scoring
Key Implementation Points:
Limit Requests to 3 per User per Pool
Track Requests and Entries separately (numbered 1, 2, 3)
Implement payment status tracking in Request model
Create Entry only after admin approval and payment completion
Admin interface for managing and approving Requests
Implement state transitions (Request: pending -> approved -> Entry created)
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.
- 2d ago First seen · 73 lines · 443 tokens per session scan A 2e5619795c55
nodejs-mongodb-jwt-express-react-cursorrules-promp is a cursor rule published in the GitHub repository PatrickJS/awesome-cursorrules (40,732 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 443 tokens to every session, about $0.0022 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to nodejs-mongodb-cursorrules-prompt-file-tutorial, differing in 94 lines, and is treated as a copy.
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mongodb
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tech-stack
指定用于后端开发的技术，包括 Node.js、Express.js、MongoDB 和 Mongoose。.
database
Drizzle ORM and database conventions for the API package.
secure-sql-usage
These rules apply to all code that interacts with SQL databases, regardless of language or framework, including generated code.
mysql-auto
This rule enforces MySQL-specific best practices to enhance readability, performance, security, and maintainability. It targets MySQL features (e.g., storage engines, character sets) and common pitfalls, and adds concrete guidance for schema design and creation.
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Prisma: schema modeling, queries, migrations.