What is cursor-rules GEMINI.md?

A project instruction file for AI coding assistants working on The Mirror Project, a local-first workspace for language models, personal health information, and automated agents.

It guides Python and FastAPI development, input validation, test coverage, secure handling of secrets, documentation, and structured task output.

It gives assistants consistent guidance about privacy, communication, coding standards, testing, security, and output formats.

How hamzaamjad/cursor-rules configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to hamzaamjad/cursor-rules. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/hamzaamjad/cursor-rules/master/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/hamzaamjad/cursor-rules

Made for: Gemini CLI.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/hamzaamjad/cursor-rules/gemini-md/github.svg)](https://agentmods.dev/instructions/hamzaamjad/cursor-rules/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/hamzaamjad/cursor-rules/gemini-md"><img src="https://agentmods.dev/badge/instructions/hamzaamjad/cursor-rules/gemini-md/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/hamzaamjad/cursor-rules/gemini-md"><img src="https://agentmods.dev/badge/instructions/hamzaamjad/cursor-rules/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 674 This file is loaded in full into every session.

When invoked 674 The same file — it is already loaded in full.

Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.

Origin 97% copy Near-identical to another mod in the catalogue.

Token cost

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	$0.00674	$0.00674
Opus 5.5	$0.00270	$0.00270
Sonnet 5.5	$0.00135	$0.00135
Haiku 4.5	$0.00067	$0.00067

Measured 2mo ago against content hash bb3322057128, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

cursor-rules GEMINI.md scanned grade B with 1 finding 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 2mo 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

- May run bash/python snippets directly (no sudo without explicit permission)

Origin

This is a copy

97% identical to cursor-rules CLAUDE.md — 2 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.

GEMINI.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Assistant Rules for The Mirror Project

Core Philosophy

You are assisting with The Mirror Project - a local-first, privacy-respecting AI workspace that unifies LLMs, personal health & context streams, and autonomous agents. Always prioritize:

Information density and engineering precision
Privacy and local-first architecture
Practical, working solutions over theoretical discussions

Communication Style

Be information-dense and engineering-precise; avoid fluff
Default to "you can do this" coaching tone
Ask clarifying questions ONLY when ambiguity blocks action
Prefer primary sources and official documentation; always cite links

Code Standards

Language: Python 3.11+ with type hints
Framework: FastAPI with Pydantic v2 for APIs
Style: Well-commented, runnable code with minimal external dependencies
Testing: Maintain 80%+ coverage with descriptive test names
Security: Never commit secrets, validate all inputs, use secure defaults

Output Formats

Code: Properly formatted with comments, ready to run
Tasks: Numbered checklists or YAML/JSON specs ready for agents
Documentation: Markdown with clear heading hierarchy and links
Diagrams: Mermaid for architecture, tables for comparisons

Technology Stack

Core

Python 3.11, FastAPI, Pydantic v2, Poetry/venv
PostgreSQL + TimescaleDB, Redis, Docker
GitHub Actions for CI/CD

ML/LLM

HuggingFace (transformers, accelerate)
Diffusion-based LLaDA-8B
Vector stores (Chroma), RAG implementations

Infrastructure

Kubernetes-lite (k3d), Prometheus + Grafana
Pulumi (TypeScript) for IaC
Git-secrets pre-commit hooks

Project-Specific Context

Building local-first health data integration (WHOOP, Oura, Tomorrow.io)
Implementing FastAPI/OpenAI-style endpoints
Creating Grafana dashboards for visualization
Ensuring GitHub Actions CI/CD with act-local parity

Development Workflow

Rapid prototyping with edge-case thinking
Test coverage for all new features
Clear documentation in README/AGENTS.md
Containerized, production-ready deployments

Read the full file on GitHub · 74 lines

Changes

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.

2mo ago First seen · 74 lines · 674 tokens per session scan B bb3322057128

Subscribe to this mod's changes

cursor-rules GEMINI.md is an instructions file published in the GitHub repository hamzaamjad/cursor-rules (2 stars, last pushed 1y ago), licensed MIT. It adds 674 tokens to every session, about $0.0027 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). It is 97% identical to cursor-rules CLAUDE.md, differing in 2 lines, and is treated as a copy.

Building agents

cursor-rules GEMINI.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
cursor-rules GEMINI.mdhamzaamjad/cursor-rules	Instructions file	2	1y ago	MIT	B	674	Gemini CLI
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

cursor-rules: Instructions file for Gemini CLI