Ruflo is an execution and coordination layer for Claude Code and Codex that equips AI coding agents with tools, memory, control loops, sandboxes, and collaboration mechanisms. Developers use it to organize specialized agents into swarms, coordinate workflows, retain knowledge across sessions, and communicate across machines. The catalogue entries are Ruflo’s skills, commands, agents, hooks, and plugin components.
Borrowing it
Nothing to install: this file belongs to ruvnet/ruflo. 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/ruvnet/ruflo/main/.agents/skills/v3-ddd-architecture/SKILL.mdgit clone --depth 1 https://github.com/ruvnet/rufloWrote 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/ruvnet/ruflo/v3-ddd-architecture)<a href="https://agentmods.dev/skills/ruvnet/ruflo/v3-ddd-architecture"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/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/ruvnet/ruflo/v3-ddd-architecture"><img src="https://agentmods.dev/badge/skills/ruvnet/ruflo/v3-ddd-architecture.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
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 ruvnet/ruflo (71,708 stars, last pushed today), 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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