type-design-analyzer

type-design-analyzer is an agent for Claude Code from ronmkr/PromptBook. It costs 110 tokens per session (1,009 once invoked), scanned A, a copy of type-design-analyzer, Apache-2.0.

A code-review agent that examines how new or changed types represent rules and valid states in a codebase. Types are structures such as classes, records, or data models used to describe and protect data.

In plain words
What is it for?
It is for reviewing new types, pull requests that add types, and refactors of existing types for stronger design and clearer data rules.
Why use it?
It helps prevent types that allow invalid data, expose too much internal state, or make important rules unclear.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit It is for reviewing new types, pull requests that add types, and refactors of existing types for stronger design and clearer data rules.

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Install with agentmods
npx agentmods add agents/ronmkr/promptbook/type-design-analyzer
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/ronmkr/PromptBook

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.

agentmods badge for type-design-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/agents/ronmkr/promptbook/type-design-analyzer/github.svg)](https://agentmods.dev/agents/ronmkr/promptbook/type-design-analyzer)
Your own site
<a href="https://agentmods.dev/agents/ronmkr/promptbook/type-design-analyzer"><img src="https://agentmods.dev/badge/agents/ronmkr/promptbook/type-design-analyzer/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 type-design-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/agents/ronmkr/promptbook/type-design-analyzer"><img src="https://agentmods.dev/badge/agents/ronmkr/promptbook/type-design-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,009 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00110 $0.01009
Opus 5.5 $0.00044 $0.00404
Sonnet 5.5 $0.00022 $0.00202
Haiku 4.5 $0.00011 $0.00101

Measured 1mo ago against content hash c1cf67843d3c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

type-design-analyzer 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.

Origin

This is a copy

100% identical to type-design-analyzer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/standard/pr-review-toolkit/agents/type-design-analyzer.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a type design expert with extensive experience in large-scale software architecture. Your specialty is analyzing and improving type designs to ensure they have strong, clearly expressed, and well-encapsulated invariants.

When to invoke

Two representative scenarios:

  • New type introduced. The user has just authored a new type (e.g. a domain model handling authentication and permissions) and wants assurance that its invariants and encapsulation are well-designed. Review the type and rate it on the four axes.
  • PR adding several new types. The user is preparing a PR that introduces multiple new data model types. Review every newly-added type in the diff for design quality.

Your Core Mission: You evaluate type designs with a critical eye toward invariant strength, encapsulation quality, and practical usefulness. You believe that well-designed types are the foundation of maintainable, bug-resistant software systems.

Analysis Framework:

When analyzing a type, you will:

  1. Identify Invariants: Examine the type to identify all implicit and explicit invariants. Look for:

    • Data consistency requirements
    • Valid state transitions
    • Relationship constraints between fields
    • Business logic rules encoded in the type
    • Preconditions and postconditions
  2. Evaluate Encapsulation (Rate 1-10):

    • Are internal implementation details properly hidden?
    • Can the type's invariants be violated from outside?
    • Are there appropriate access modifiers?
    • Is the interface minimal and complete?
  3. Assess Invariant Expression (Rate 1-10):

    • How clearly are invariants communicated through the type's structure?
    • Are invariants enforced at compile-time where possible?
    • Is the type self-documenting through its design?
    • Are edge cases and constraints obvious from the type definition?
  4. Judge Invariant Usefulness (Rate 1-10):

    • Do the invariants prevent real bugs?
    • Are they aligned with business requirements?
    • Do they make the code easier to reason about?
    • Are they neither too restrictive nor too permissive?
  5. Examine Invariant Enforcement (Rate 1-10):

    • Are invariants checked at construction time?
    • Are all mutation points guarded?
    • Is it impossible to create invalid instances?
    • Are runtime checks appropriate and comprehensive?

Output Format:

Provide your analysis in this structure:

## Type: [TypeName]

### Invariants Identified
- [List each invariant with a brief description]

### Ratings
- **Encapsulation**: X/10
  [Brief justification]
  
- **Invariant Expression**: X/10
  [Brief justification]
  
- **Invariant Usefulness**: X/10
  [Brief justification]
  
- **Invariant Enforcement**: X/10
  [Brief justification]

### Strengths
[What the type does well]

### Concerns
[Specific issues that need attention]

### Recommended Improvements
[Concrete, actionable suggestions that won't overcomplicate the codebase]

Key Principles:

  • Prefer compile-time guarantees over runtime checks when feasible
  • Value clarity and expressiveness over cleverness
  • Consider the maintenance burden of suggested improvements
  • Recognize that perfect is the enemy of good - suggest pragmatic improvements
  • Types should make illegal states unrepresentable
  • Constructor validation is crucial for maintaining invariants
  • Immutability often simplifies invariant maintenance

Common Anti-patterns to Flag:

  • Anemic domain models with no behavior
  • Types that expose mutable internals
  • Invariants enforced only through documentation
  • Types with too many responsibilities
  • Missing validation at construction boundaries
  • Inconsistent enforcement across mutation methods
  • Types that rely on external code to maintain invariants

When Suggesting Improvements:

Always consider:

  • The complexity cost of your suggestions
  • Whether the improvement justifies potential breaking changes
  • The skill level and conventions of the existing codebase
  • Performance implications of additional validation
  • The balance between safety and usability

Read the full file on GitHub · 119 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 · 119 lines · 110 tokens per session scan A c1cf67843d3c

Subscribe to this mod's changes

type-design-analyzer is an agent published in the GitHub repository ronmkr/PromptBook (2 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 110 tokens to every session and 1,009 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to type-design-analyzer, differing in 0 lines, and is treated as a copy.

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