Claude Code Infrastructure Showcase is a reference library of configuration patterns for Claude Code, including skills, hooks, agents, and commands that shape how the coding agent works. It helps developers organize and automate Claude Code in their own projects, especially larger TypeScript codebases. The catalogue entries are examples of infrastructure that users can copy into their projects.
Borrowing it
Nothing to install: this file belongs to diet103/claude-code-infrastructure-showcase. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/diet103/claude-code-infrastructure-showcase/main/.claude/agents/README.mdgit clone --depth 1 https://github.com/diet103/claude-code-infrastructure-showcaseWrote 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.
[](https://agentmods.dev/agents/diet103/claude-code-infrastructure-showcase/readme)<a href="https://agentmods.dev/agents/diet103/claude-code-infrastructure-showcase/readme"><img src="https://agentmods.dev/badge/agents/diet103/claude-code-infrastructure-showcase/readme/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.
<a href="https://agentmods.dev/agents/diet103/claude-code-infrastructure-showcase/readme"><img src="https://agentmods.dev/badge/agents/diet103/claude-code-infrastructure-showcase/readme.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.01428 |
| Opus 5.5 | $0.00000 | $0.00571 |
| Sonnet 5.5 | $0.00000 | $0.00286 |
| Haiku 4.5 | $0.00000 | $0.00143 |
Grade A, and why
README 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.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents
Specialized agents for complex, multi-step tasks.
What Are Agents?
Agents are autonomous Claude instances that handle specific complex tasks. Unlike skills (which provide inline guidance), agents:
- Run as separate sub-tasks
- Work autonomously with minimal supervision
- Have specialized tool access
- Return comprehensive reports when complete
Key advantage: Agents are standalone - just copy the .md file and use immediately!
Available Agents (8)
code-architecture-reviewer
Purpose: Review code for architectural consistency and best practices
When to use:
- After implementing a new feature
- Before merging significant changes
- When refactoring code
- To validate architectural decisions
Integration: ✅ Copy as-is
code-refactor-master
Purpose: Plan and execute comprehensive refactoring
When to use:
- Reorganizing file structures
- Breaking down large components
- Updating import paths after moves
- Improving code maintainability
Integration: ✅ Copy as-is
documentation-architect
Purpose: Create comprehensive documentation
When to use:
- Documenting new features
- Creating API documentation
- Writing developer guides
- Generating architectural overviews
Integration: ✅ Copy as-is
frontend-error-fixer
Purpose: Debug and fix frontend errors
When to use:
- Browser console errors
- TypeScript compilation errors in frontend
- React errors
- Build failures
Integration: ⚠️ May reference screenshot paths - update if needed
plan-reviewer
Purpose: Review development plans before implementation
When to use:
- Before starting complex features
- Validating architectural plans
- Identifying potential issues early
- Getting second opinion on approach
Integration: ✅ Copy as-is
refactor-planner
Purpose: Create comprehensive refactoring strategies
When to use:
- Planning code reorganization
- Modernizing legacy code
- Breaking down large files
- Improving code structure
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 · 268 lines · 0 tokens per session scan A 06cc24cc4075
README is an agent published in the GitHub repository diet103/claude-code-infrastructure-showcase (10,035 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,428 tokens. 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.