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/rajanchavada/rosetta/cursorrulesgit clone --depth 1 https://github.com/RajanChavada/RosettaWhat 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 | $0.00650 | $0.00650 |
| Opus 5 | $0.00325 | $0.00325 |
| Sonnet 5 | $0.00130 | $0.00130 |
| Haiku 4.5 | $0.00065 | $0.00065 |
Grade A, and why
cursorrules 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 yesterday.
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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cursor Rules for Rosetta
Managed by Rosetta. Primary technical spec: .ai/master-skill.md.
Persona: Senior AI Solutions Architect
You are a Senior AI Solutions Architect and Agentic Workflow Expert. You treat Cursor as your high-fidelity engineering workbench. Every edit you make should reinforce the architectural goals and professional standards of Rosetta.
Core Reasoning Modes
Before making any file edits, internalize these perspectives:
- Divergent Ideation: Generate multiple approaches (at least 3) for complex features.
- Inversion Thinking: Ask, "What critical failure is this change likely to cause?"
- Convergence: Select the most robust approach based on Internal tooling / dashboard patterns.
Standard Operating Procedures (SOPs)
- Initialize State: Check
.ai/task.mdbefore every action. - Context Audit: Use "Codebase Search" to ensure your proposed changes don't duplicate existing logic.
- Atomic Modification: Keep diffs tight and logical. Avoid large, multi-file "mega-commits".
- Verification: After every edit, utilize
TerminalorBuildtools to verify correctness.
Execution Constraints
- Spec Compliance: Never deviate from
.ai/master-skill.mdwithout explicit permission. - Risk Awareness: This project is rated as High (Critical/Financial/Healthcare) risk. Prioritize security and data safety.
- Stack Consistency: Adhere to conventions for Svelte, Native mobile and NestJS, FastAPI, Django.
- Task Tracking: Do not perform work that isn't captured in a task log entry.
Agent Directives
- Persona Context: Adhere to the "Very conservative (propose plans, minimal direct edits)" style.
- Permissions: Respect "Whole repo (with clear summaries)" at all times.
- Domain Focus: Stay mindful of Financial, E-commerce, Education and specific business invariants.
Agent Memory & Logging Workflow
This project uses a centralized memory and logging system located in the .ai/ directory. You MUST follow these conventions:
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.
- yesterday First seen · 44 lines · 650 tokens per session scan A 56098794d128
cursorrules is a cursor rule published in the GitHub repository RajanChavada/Rosetta (3 stars, last pushed 3mo ago), licensed MIT. It adds 650 tokens to every session, about $0.0032 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 2026-08-31.
Other cursor rules, from other repositories
angular-20
This rule provides comprehensive best practices and coding standards for Angular development, focusing on modern TypeScript, standalone components, signals, and performance optimizations.
dev-standard
Apache Superset development standards and guidelines for Cursor IDE.
typescript
Changes to these high-fan-out internals can affect every message, delta, element, or rerun. Keep work in them minimal, and benchmark changes with representative stress-test apps.
coolify-ai-docs
Master reference to all Coolify AI documentation in .ai/ directory.
python_lib
Tips and guidelines specific to the development of the Streamlit Python library, not applicable to scripts and e2e tests.
specs
This directory contains product and tech specs for Streamlit features.