ai-ready-project-template: Instructions file for Claude Code

CLAUDE.md

ai-ready-project-template CLAUDE.md is an instructions file for Claude Code from ntnhan94/ai-ready-project-template. It costs 384 tokens per session, scanned A, original, MIT.

A project guide for InvoiceHub, a software service that handles invoices and payments for multiple customer organisations. It documents how to develop, test, format, and run the frontend and backend.

In plain words
What is it for?
Use it when working on the React/TypeScript frontend, Python backend, database queries, tests, linting, or local Docker setup.
Why use it?
It gives coding agents the project context and rules needed to make safe changes, including keeping customer data separate and storing money accurately.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is ntnhan94/ai-ready-project-template's own configuration. It tells Claude Code how to work on ai-ready-project-template itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ai-ready-project-template configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ntnhan94/ai-ready-project-template. 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/ntnhan94/ai-ready-project-template/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/ntnhan94/ai-ready-project-template

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 384 This file is loaded in full into every session.
When invoked 384 The same file — it is already loaded in full.
Security scan A 0 findings. 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 $0.00384 $0.00384
Opus 5 $0.00192 $0.00192
Sonnet 5 $0.00077 $0.00077
Haiku 4.5 $0.00038 $0.00038

Measured 8d ago against content hash b29d7d170a6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

ai-ready-project-template CLAUDE.md 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 8d 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.

CLAUDE.md · 34 lines

What it actually says

CLAUDE.md — Claude Code specific instructions

Project Context

This is InvoiceHub, a multi-tenant SaaS invoice & payment platform. Read AGENTS.md in the root for full architecture context.

Build & Test Commands

  • Frontend: cd frontend && npm run dev (dev), npm run build (build), npm test (test), npm run lint (lint)
  • Backend: cd backend && uvicorn app.main:app --reload (dev), pytest (test), ruff check . (lint)
  • Full stack: docker-compose up -d

Code Style Preferences

  • Frontend: TypeScript strict mode, functional components only, named exports, absolute imports via @/
  • Backend: Type hints on all functions, async/await everywhere, Pydantic models for all request/response schemas
  • Both: No abbreviations in variable names, descriptive function names, small focused functions

What to Check Before Generating Code

  1. Read the AGENTS.md file in the directory you're working in
  2. Check existing patterns in sibling files before creating new ones
  3. Ensure all MongoDB queries include tenant_id filtering
  4. Use cents (integers) for all monetary values — never floats
  5. All API endpoints must have Pydantic request/response models

Common Mistakes to Avoid

  • Do NOT use any type in TypeScript — always define proper types
  • Do NOT create API routes without authentication middleware
  • Do NOT use datetime.now() — use datetime.now(UTC) for timezone-aware datetimes
  • Do NOT import from motor — use pymongo async driver (Motor is deprecated)
  • Do NOT use CSS modules or styled-components — use Tailwind CSS utility classes only
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. 8d ago First seen · 34 lines · 384 tokens per session scan A b29d7d170a6b

Subscribe to this mod's changes

ai-ready-project-template CLAUDE.md is an instructions file published in the GitHub repository ntnhan94/ai-ready-project-template (2 stars, last pushed 5mo ago), licensed MIT. It adds 384 tokens to every session, about $0.0019 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.

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