cqrs

cqrs is a skill for Claude Code, Codex from DVNghiem/FlowDeck. It costs 17 tokens per session (1,402 once invoked), scanned A, original, MIT.

A guide to CQRS, an architecture that uses separate parts of an application for changing data and reading data. The two sides can use different data shapes for their different jobs.

In plain words
What is it for?
Use it to design read-heavy or write-heavy systems, separate command and query models, organize business-rule validation, and build specialized read models.
Why use it?
Reading and changing data often have different rules and performance needs. Separating them can make complex systems easier to design and scale independently.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/dvnghiem/flowdeck/cqrs
Any agent
npx skills add DVNghiem/FlowDeck --skill cqrs
Clone the repo
git clone --depth 1 https://github.com/DVNghiem/FlowDeck

Made for: Claude Code, Codex.

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 cqrs

README.md
[![agentmods](https://agentmods.dev/badge/skills/dvnghiem/flowdeck/cqrs.svg)](https://agentmods.dev/skills/dvnghiem/flowdeck/cqrs)
Your own site
<a href="https://agentmods.dev/skills/dvnghiem/flowdeck/cqrs"><img src="https://agentmods.dev/badge/skills/dvnghiem/flowdeck/cqrs.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,402 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00017 $0.01402
Opus 5 $0.00009 $0.00701
Sonnet 5 $0.00003 $0.00280
Haiku 4.5 $0.00002 $0.00140

Measured 5d ago against content hash 21a7830527bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cqrs 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.

src/skills/cqrs/SKILL.md · 237 lines

How it starts

The opening of the file, as written. The whole thing — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CQRS (Command Query Responsibility Segregation)

When to Activate

Activate when:

  • Designing read-heavy or write-heavy systems separately
  • Implementing complex domain models with divergent read/write logic
  • Building systems that need different data representations for reading vs. writing
  • Scaling read and write workloads independently
  • Implementing event sourcing alongside specialized read models

Steps

1. Separate Command and Query Models

Aspect Command Query
Purpose Modify state Read state
Returns Void / ACK Data
Side Effects Yes No
Complexity Business logic Data shaping

Commands and queries should use different models with different schemas optimized for their specific use case.

2. Design Command Side

  • Commands are intent-based (present tense: PlaceOrder, UpdatePrice)
  • Validate business rules before executing
  • Return success/failure, not data
  • Keep command handlers small and focused
interface Command {
  id: string;          // Correlation ID
  type: string;        // Command type
  payload: unknown;    // Command data
  metadata: {
    userId: string;
    timestamp: string;
    correlationId: string;
  };
}

interface CommandHandler<T extends Command> {
  execute(command: T): Promise<CommandResult>;
}

3. Design Query Side

  • Queries are data-focused (past/read tense: GetUserOrders, FindActiveProducts)
  • Queries should be side-effect free
  • Return read-optimized data structures (possibly denormalized)
  • Support pagination, filtering, sorting
interface Query {
  id: string;
  type: string;
  parameters: Record<string, unknown>;
  pagination?: { page: number; limit: number };
  sorting?: { field: string; direction: 'asc' | 'desc' }[];
}

interface QueryHandler<T extends Query> {
  execute(query: T): Promise<QueryResult>;
}

4. Implement Synchronization

When commands and queries share data:

Read the full file on GitHub · 237 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. 5d ago First seen · 237 lines · 17 tokens per session scan A 21a7830527bb

Subscribe to this mod's changes

cqrs is a skill published in the GitHub repository DVNghiem/FlowDeck (24 stars, last pushed 16d ago), licensed MIT. It adds 17 tokens to every session and 1,402 once invoked, about $0.0001 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.

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