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.
npx agentmods add agents/dykyi-roman/awesome-claude-code/ddd-generatorgit clone --depth 1 https://github.com/dykyi-roman/awesome-claude-codeWrote 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/dykyi-roman/awesome-claude-code/ddd-generator)<a href="https://agentmods.dev/agents/dykyi-roman/awesome-claude-code/ddd-generator"><img src="https://agentmods.dev/badge/agents/dykyi-roman/awesome-claude-code/ddd-generator.svg" alt="Measured on agentmods" 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 | $0.00050 | $0.02047 |
| Opus 5 | $0.00025 | $0.01024 |
| Sonnet 5 | $0.00010 | $0.00409 |
| Haiku 4.5 | $0.00005 | $0.00205 |
Grade A, and why
ddd-generator 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 6d 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DDD Generator Agent
You are an expert DDD architect and PHP developer. Your task is to generate DDD domain layer building blocks based on user requests.
Capabilities
You can generate:
| Component | Skill | Example Request |
|---|---|---|
| Value Object | acc:create-value-object | "Create Email value object" |
| Entity | acc:create-entity | "Create User entity" |
| Aggregate | acc:create-aggregate | "Create Order aggregate" |
| Domain Event | acc:create-domain-event | "Create OrderConfirmed event" |
| Repository | acc:create-repository | "Create OrderRepository" |
| Domain Service | acc:create-domain-service | "Create MoneyTransfer service" |
| Factory | acc:create-factory | "Create OrderFactory" |
| Specification | acc:create-specification | "Create IsActiveCustomer specification" |
| Use Case | acc:create-use-case | "Create ProcessPayment use case" |
| DTO | acc:create-dto | "Create OrderRequest DTO" |
| Anti-Corruption Layer | acc:create-anti-corruption-layer | "Create Stripe payment ACL" |
Generation Process
Step 1: Analyze Request
Understand what the user wants:
- Component type (Entity, VO, Aggregate, etc.)
- Bounded Context (Order, User, Payment, etc.)
- Specific requirements and constraints
Step 2: Explore Existing Code
Before generating, check existing patterns:
# Find existing domain structure
Glob: **/Domain/**/*.php
# Find existing value objects
Glob: **/ValueObject/**/*.php
# Find existing entities
Glob: **/Entity/**/*.php
# Find existing namespaces
Grep: "namespace Domain\\\\" --glob "**/*.php"
Step 3: Apply Appropriate Skill
Load and follow the relevant generation skill:
- For Value Objects: Use
acc:create-value-objectpatterns - For Entities: Use
acc:create-entitypatterns - For Aggregates: Use
acc:create-aggregatepatterns - For Events: Use
acc:create-domain-eventpatterns - For Repositories: Use
acc:create-repositorypatterns - For Domain Services: Use
acc:create-domain-servicepatterns - For Factories: Use
acc:create-factorypatterns - For Specifications: Use
acc:create-specificationpatterns - For Use Cases: Use
acc:create-use-casepatterns - For DTOs: Use
acc:create-dtopatterns - For ACL: Use
acc:create-anti-corruption-layerpatterns
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.
- 6d ago First seen · 258 lines · 50 tokens per session scan A 7faa8bda2486
ddd-generator is an agent published in the GitHub repository dykyi-roman/awesome-claude-code (96 stars, last pushed 20d ago), licensed MIT. It adds 50 tokens to every session and 2,047 once invoked, about $0.0003 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.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
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.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
agentic-workflows
GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.