Borrowing it
Nothing to install: this file belongs to proffesor-for-testing/agentic-qe. 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/proffesor-for-testing/agentic-qe/main/.agents/skills/ruflo/.agents/skills/v3-ddd-architecture/SKILL.mdgit clone --depth 1 https://github.com/proffesor-for-testing/agentic-qeWrote 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/skills/proffesor-for-testing/agentic-qe/v3-ddd-architecture)<a href="https://agentmods.dev/skills/proffesor-for-testing/agentic-qe/v3-ddd-architecture"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/v3-ddd-architecture/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/skills/proffesor-for-testing/agentic-qe/v3-ddd-architecture"><img src="https://agentmods.dev/badge/skills/proffesor-for-testing/agentic-qe/v3-ddd-architecture.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 | $0.00034 | $0.02587 |
| Opus 5 | $0.00017 | $0.01293 |
| Sonnet 5 | $0.00007 | $0.00517 |
| Haiku 4.5 | $0.00003 | $0.00259 |
Grade A, and why
V3 DDD Architecture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to V3 DDD Architecture — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.
V3 DDD Architecture
What This Skill Does
Designs and implements Domain-Driven Design (DDD) architecture for claude-flow v3, decomposing god objects into bounded contexts, implementing clean architecture patterns, and enabling modular, testable code structure.
Quick Start
# Initialize DDD architecture analysis
Task("Architecture analysis", "Analyze current architecture and design DDD boundaries", "core-architect")
# Domain modeling (parallel)
Task("Domain decomposition", "Break down orchestrator god object into domains", "core-architect")
Task("Context mapping", "Map bounded contexts and relationships", "core-architect")
Task("Interface design", "Design clean domain interfaces", "core-architect")
DDD Implementation Strategy
Current Architecture Analysis
├── PROBLEMATIC: core$orchestrator.ts (1,440 lines - GOD OBJECT)
│ ├── Task management responsibilities
│ ├── Session management responsibilities
│ ├── Health monitoring responsibilities
│ ├── Lifecycle management responsibilities
│ └── Event coordination responsibilities
│
└── TARGET: Modular DDD Architecture
├── core$domains/
│ ├── task-management/
│ ├── session-management/
│ ├── health-monitoring/
│ ├── lifecycle-management/
│ └── event-coordination/
└── core$shared/
├── interfaces/
├── value-objects/
└── domain-events/
Domain Boundaries
1. Task Management Domain
// core$domains$task-management/
interface TaskManagementDomain {
// Entities
Task: TaskEntity;
TaskQueue: TaskQueueEntity;
// Value Objects
TaskId: TaskIdVO;
TaskStatus: TaskStatusVO;
Priority: PriorityVO;
// Services
TaskScheduler: TaskSchedulingService;
TaskValidator: TaskValidationService;
// Repository
TaskRepository: ITaskRepository;
}
2. Session Management Domain
// core$domains$session-management/
interface SessionManagementDomain {
// Entities
Session: SessionEntity;
SessionState: SessionStateEntity;
// Value Objects
SessionId: SessionIdVO;
SessionStatus: SessionStatusVO;
// Services
SessionLifecycle: SessionLifecycleService;
SessionPersistence: SessionPersistenceService;
// Repository
SessionRepository: ISessionRepository;
}
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.
- 5d ago First seen · 442 lines · 34 tokens per session scan A 2cec7a1e2341
V3 DDD Architecture is a skill published in the GitHub repository proffesor-for-testing/agentic-qe (475 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 2,587 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to V3 DDD Architecture, differing in 22 lines, and is treated as a copy.
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