What is llm-application-dev?

A development add-on for applications built with large language models, such as chatbots and other AI assistants. It covers prompt design, assistant improvement, LangChain architecture, and retrieval-augmented generation, which gives an AI model relevant stored information when it answers.

Use it to build LangChain agents, improve AI assistants and prompts, evaluate language-model behaviour, and implement retrieval-augmented generation.

It helps address the design problems involved in building, tuning, and evaluating applications that use language models.

llm-application-dev — Plugin for Claude Code by HermeticOrmus

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/HermeticOrmus/claude-code-game-development

Made for: Claude Code.

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/plugins/hermeticormus/claude-code-game-development/llm-application-dev/github.svg)](https://agentmods.dev/plugins/hermeticormus/claude-code-game-development/llm-application-dev)

Your own site

<a href="https://agentmods.dev/plugins/hermeticormus/claude-code-game-development/llm-application-dev"><img src="https://agentmods.dev/badge/plugins/hermeticormus/claude-code-game-development/llm-application-dev/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/plugins/hermeticormus/claude-code-game-development/llm-application-dev"><img src="https://agentmods.dev/badge/plugins/hermeticormus/claude-code-game-development/llm-application-dev.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured The manifest loads nothing itself; its 4 skills cost 172 tokens a session between them.

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.

Security

Grade A, and why

llm-application-dev 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 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.

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-plugin/marketplace.json#llm-application-dev · 38 lines

What it actually says

{
  "name": "llm-application-dev",
  "source": "./plugins/llm-application-dev",
  "description": "LLM application development, prompt engineering, and AI assistant optimization",
  "version": "1.2.1",
  "author": {
    "name": "Seth Hobson",
    "url": "https://github.com/wshobson"
  },
  "homepage": "https://github.com/wshobson/agents",
  "repository": "https://github.com/wshobson/agents",
  "license": "MIT",
  "keywords": [
    "llm",
    "ai",
    "prompt-engineering",
    "langchain",
    "gpt",
    "claude"
  ],
  "category": "ai-ml",
  "strict": false,
  "commands": [
    "./commands/langchain-agent.md",
    "./commands/ai-assistant.md",
    "./commands/prompt-optimize.md"
  ],
  "agents": [
    "./agents/ai-engineer.md",
    "./agents/prompt-engineer.md"
  ],
  "skills": [
    "./skills/langchain-architecture",
    "./skills/llm-evaluation",
    "./skills/prompt-engineering-patterns",
    "./skills/rag-implementation"
  ]
}

Contents

What it installs

The manifest is a name and a version. 4 skills travel with it, and installing the plugin installs all of them — 172 tokens a session between them. Each is measured on its own page, and each can be installed alone.

Files

What ships with it

1 file beside marketplace.json#llm-application-dev in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

marketplace.json 75 KB

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.

1mo ago First seen · 38 lines scan A ea518849f3cc

Subscribe to this mod's changes

llm-application-dev is a plugin published in the GitHub repository HermeticOrmus/claude-code-game-development (73 stars, last pushed 19d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-03.

Building agents Claude Code Data and AI Game development Prompting Python RAG and vectors ai ai-tools game-development

uitkit-ai-engineering

Claude API, agent construction, RAG, LangGraph, CrewAI, MCP server building, prompt caching, LLM eval, and AI-native development patterns.

UitbreidenOS/UitKit · not measured

ai-toolkit

Skills for Deep Learning (Keras 3), Reinforcement Learning (Python & C++), Claude Prompt Optimization, x402 Web3 Payments, and OpenClaw Setup.

Aznatkoiny/zAI-Skills · not measured

rad-context-prompter

Write, debug, reverse-engineer, and migrate AI prompts — now including agentic loops and goal conditions. The prompt-engineering skill covers writing patterns and platform-specific shape (Claude, GPT, Gemini, Claude Code, OpenAI Codex/AGENTS.md, image generators, agentic tools). The loop-goal-engineering skill authors.

RadOrigin-LLC/RAD-Claude-Skills · not measured

llm-application-dev