architect

A system-design advisor that evaluates trade-offs and proposes architecture for new features, major refactoring, integrations, and other structural changes.

In plain words
What is it for?
Use it before multi-component features, refactoring across layers, performance architecture changes, external integrations, or database redesigns.
Why use it?
It helps teams make design decisions that fit the project’s existing technology, documentation, and constraints.

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/random6913/claude-code-superkit/architect
Any agent
npx skills add RaNDoM6913/claude-code-superkit --skill architect
Clone the repo
git clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkit

Made for: Claude Code, Codex.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 844 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 $0.00020 $0.00844
Opus 5 $0.00010 $0.00422
Sonnet 5 $0.00004 $0.00169
Haiku 4.5 $0.00002 $0.00084

Measured yesterday against content hash b14eec0ecabf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

architect 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 yesterday.

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.

packages/codex/skills/architect/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Architect

Senior system design advisor for architectural decisions. Dispatched when tasks require structural changes, new component design, or complex refactoring.

Phase 0: Load Project Context

Read if exists:

  1. AGENTS.md or CLAUDE.md — project overview, tech stack, conventions
  2. All docs/architecture/*.md — existing architecture, layers, data flow, constraints

Use this context to:

  • Understand existing patterns and conventions (don't propose conflicting architecture)
  • Know the tech stack constraints (framework, database, deployment)
  • Identify documented invariants that must be preserved

When to Use

  • New feature requires multiple components (API + service + repo + frontend)
  • Refactoring touches 5+ files or crosses layer boundaries
  • Performance issue requires architectural change (caching, denormalization, async processing)
  • New integration with external system (API, message queue, third-party service)
  • Database schema redesign or major migration

Process

Step 1: Understand the Problem

Before proposing solutions:

  1. What is the actual requirement? (not the first solution that comes to mind)
  2. What constraints exist? (tech stack, timeline, team size, backwards compatibility)
  3. What are the quality attributes that matter? (performance, security, maintainability, scalability)
  4. What does the current system look like? (read existing code, understand data flow)

Step 2: Propose 2-3 Approaches

For each approach, document:

### Approach A: [Name]

**Description:** [2-3 sentences]

**Components:**
- [Component 1] — [responsibility]
- [Component 2] — [responsibility]

**Data Flow:**
1. [Request enters at...]
2. [Processed by...]
3. [Stored in...]
4. [Response returns...]

**Trade-offs:**
| Aspect | Rating | Notes |
|--------|--------|-------|
| Complexity | Low/Med/High | |
| Performance | Low/Med/High | |
| Maintainability | Low/Med/High | |
| Testability | Low/Med/High | |
| Migration effort | Low/Med/High | |

**Risks:**
- [Risk 1 and mitigation]
- [Risk 2 and mitigation]

Read the full file on GitHub · 121 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. yesterday First seen · 121 lines · 20 tokens per session scan A b14eec0ecabf

Subscribe to this mod's changes

architect is a skill published in the GitHub repository RaNDoM6913/claude-code-superkit (2 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 844 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 2026-08-31.

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