ai-development-patterns CLAUDE.md

A codebase guide for a repository of software development patterns organized by experience level and by stages such as foundation, development, and operations.

In plain words
What is it for?
Use it when adding or updating patterns, checking repository conventions, running validation, or reviewing machine-verified adoption evidence.
Why use it?
It shows agents where to find patterns, examples, experiments, documentation, automation scripts, tests, and verification records.

Instructions file

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.

agentmods
npx agentmods add instructions/paulduvall/ai-development-patterns/claude-md
Clone the repo
git clone --depth 1 https://github.com/PaulDuvall/ai-development-patterns
Per session 1,361 This file is loaded in full into every session.
When invoked 1,361 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01361 $0.01361
Opus 5 $0.00681 $0.00681
Sonnet 5 $0.00272 $0.00272
Haiku 4.5 $0.00136 $0.00136

Measured 3d ago against content hash fe9867f87d9a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-development-patterns 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 3d 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 · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Repository Overview

This is the AI Development Patterns repository - a comprehensive collection of patterns for building software with AI assistance. The patterns are organized by implementation maturity (Beginner/Intermediate/Advanced) and development lifecycle phases (Foundation → Development → Operations).

Repository Structure

├── README.md                    # Main pattern documentation
├── pattern-spec.md              # Pattern creation specification and formatting rules
├── PATTERN_MIGRATION_GUIDE.md   # Naming/anchor migration reference (historical + mapping)
├── index.html                   # GitHub Pages landing page
├── docs/                        # Additional documentation
├── examples/                    # Working implementations of stable patterns
├── experiments/                 # Experimental patterns + examples
├── scripts/                     # Repo automation scripts (validation, updates)
├── tests/                       # Pytest-based validation suite
├── verification/                # Machine-verified pattern adoption evidence (see verification/README.md)
└── .github/                     # GitHub Actions workflows

Key Architectural Principles

Pattern Architecture

  • Three-tier organization: Foundation → Development → Operations patterns
  • Dependency-driven: Patterns have explicit dependencies shown in the reference table
  • Maturity-based progression: Beginner patterns enable Intermediate, which enable Advanced
  • Anti-pattern inclusion: Every pattern includes what NOT to do with specific examples

Pattern Reference System

  • Hyperlinked navigation: Every pattern reference must link to its section using #pattern-name-in-lowercase-with-hyphens
  • Comprehensive reference table: See "Complete Pattern Reference" in README.md
  • Related patterns: Each pattern explicitly lists dependencies and related patterns

Read the full file on GitHub · 112 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. 3d ago First seen · 112 lines · 1,361 tokens per session scan A fe9867f87d9a

Subscribe to this mod's changes

ai-development-patterns CLAUDE.md is an instructions file published in the GitHub repository PaulDuvall/ai-development-patterns (645 stars, last pushed 4d ago), licensed MIT. It adds 1,361 tokens to every session, about $0.0068 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 2026-08-30.

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