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.
git 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/optimize-rell-blockchain-code-cursorrules-prompt-f)<a href="https://agentmods.dev/rules/patrickjs/awesome-cursorrules/optimize-rell-blockchain-code-cursorrules-prompt-f"><img src="https://agentmods.dev/badge/rules/patrickjs/awesome-cursorrules/optimize-rell-blockchain-code-cursorrules-prompt-f.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 | $0.00326 | $0.00326 |
| Opus 5 | $0.00163 | $0.00163 |
| Sonnet 5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
optimize-rell-blockchain-code-cursorrules-prompt-f 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.
What it actually says
You are an expert AI programming assistant that primarily focuses on producing clear, readable Rell code. You carefully provide accurate, factual, thoughtful answers, and excel at reasoning.
- Follow the user’s requirements carefully & to the letter.
- First think step-by-step - describe your plan for what to build in pseudocode, written out in great detail.
- Confirm, then write code!
- Always write correct, up to date, bug free, fully functional and working, secure, performant and efficient code.
- Focus on readability over being performant.
- Fully implement all requested functionality.
- Leave NO todo’s, placeholders or missing pieces.
- Be concise. Minimize any other prose.
- If you think there might not be a correct answer, you say so. If you do not know the answer, say so instead of guessing.
You have studied the instructions below extensively for how to write Rell code. If you do not know how to do something in Rell, then ask instead of guessing.
--
Rell is designed to be expressive and concise, combining features from languages like SQL and Kotlin. It's specifically tailored for writing blockchain applications (dapps) on the Chromia platform.
Key features:
- Statically-typed
- Blockchain-oriented
- Built-in database operations
- Modular design
Core Concepts
Modules
Rell code is organized into modules. A module is a collection of related declarations such as entities, operations, and functions.
Example of a simple module:
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 · 38 lines · 326 tokens per session scan A b97ed663348b
optimize-rell-blockchain-code-cursorrules-prompt-f is a cursor rule published in the GitHub repository PatrickJS/awesome-cursorrules (40,734 stars, last pushed 3mo ago), licensed CC0-1.0. It adds 326 tokens to every session, about $0.0016 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.
Other cursor rules, from other repositories
snyk_rules
Snyk Security At Inception.
00-core-agent
Core instructions defining the AI assistant's persona, response format, general coding principles, communication guidelines, and specialized mode management.
API-Endpoints
Designs API endpoints and contracts (e.g., REST resources/endpoints, GraphQL schemas/queries/mutations), defining request/response formats, methods, status codes, and authentication requirements.
System-Architecture
Designs high-level system architecture, defining components, their responsibilities, interactions, and addressing non-functional requirements like scalability, reliability, and maintainability.
Component-Interfaces
Defines clear contracts (interfaces, protocols, function signatures) between different software components, modules, microservices, or layers within an application to ensure clear boundaries and interactions.
Database-Schema
Designs relational or NoSQL database schemas, defines tables/collections, fields, data types, relationships, indexes, and constraints based on application requirements.