000-core-rulesync

000-core-rulesync is a cursor rule for Cursor from hamzaamjad/cursor-rules. It costs 769 tokens per session, scanned B, original, MIT.

A shared rule set for AI assistants working on the Mirror Project, covering communication, Python and FastAPI code, testing, security, and output formats.

In plain words
What is it for?
Use it to guide development of Python 3.11+ and FastAPI applications, secure input handling, test coverage, documentation, and structured task plans.
Why use it?
It gives assistants consistent project-specific expectations so their answers and code fit the project’s standards.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/. Also seen: mentions AGENTS.md.

Good fit Use it to guide development of Python 3.11+ and FastAPI applications, secure input handling, test coverage, documentation, and structured task plans.

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/hamzaamjad/cursor-rules/000-core-rulesync
Install

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.

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

Made for: Cursor.

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.

agentmods badge for 000-core-rulesync

README.md
[![agentmods](https://agentmods.dev/badge/rules/hamzaamjad/cursor-rules/000-core-rulesync/github.svg)](https://agentmods.dev/rules/hamzaamjad/cursor-rules/000-core-rulesync)
Your own site
<a href="https://agentmods.dev/rules/hamzaamjad/cursor-rules/000-core-rulesync"><img src="https://agentmods.dev/badge/rules/hamzaamjad/cursor-rules/000-core-rulesync/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.

agentmods 80×15 button for 000-core-rulesync

Your own site · 80×15
<a href="https://agentmods.dev/rules/hamzaamjad/cursor-rules/000-core-rulesync"><img src="https://agentmods.dev/badge/rules/hamzaamjad/cursor-rules/000-core-rulesync.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 769 This file is loaded in full into every session.
When invoked 769 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 original No closer match found 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00769 $0.00769
Opus 5.5 $0.00308 $0.00308
Sonnet 5.5 $0.00154 $0.00154
Haiku 4.5 $0.00077 $0.00077

Measured 1mo ago against content hash ea41b08ed75f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

000-core-rulesync 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 1mo 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)
.cursor/rules/000-core-rulesync.mdc · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 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

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

Read the full file on GitHub · 89 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.

  1. 1mo ago First seen · 89 lines · 769 tokens per session scan B ea41b08ed75f

Subscribe to this mod's changes

000-core-rulesync is a cursor rule published in the GitHub repository hamzaamjad/cursor-rules (2 stars, last pushed 1y ago), licensed MIT. It adds 769 tokens to every session, about $0.0031 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.