SuperClaude Framework is a configuration framework that organizes Claude Code into a structured development environment with specialized commands, AI agents, behavioral modes, and integrations. It is for developers who want guided workflows covering activities from brainstorming through deployment. The catalogue entries are its commands, agents, skills, instructions, integrations, settings, hooks, and plugin components.
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.
git clone --depth 1 https://github.com/SuperClaude-Org/SuperClaude_FrameworkWrote 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/commands/superclaude-org/superclaude_framework/design)<a href="https://agentmods.dev/commands/superclaude-org/superclaude_framework/design"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/design/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/commands/superclaude-org/superclaude_framework/design"><img src="https://agentmods.dev/badge/commands/superclaude-org/superclaude_framework/design.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 | $0.00014 | $0.00619 |
| Opus 5.5 | $0.00006 | $0.00248 |
| Sonnet 5.5 | $0.00003 | $0.00124 |
| Haiku 4.5 | $0.00001 | $0.00062 |
Grade A, and why
design 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 2mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- design — 92% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/sc:design - System and Component Design
Triggers
- Architecture planning and system design requests
- API specification and interface design needs
- Component design and technical specification requirements
- Database schema and data model design requests
Usage
/sc:design [target] [--type architecture|api|component|database] [--format diagram|spec|code]
Behavioral Flow
- Analyze: Examine target requirements and existing system context
- Plan: Define design approach and structure based on type and format
- Design: Create comprehensive specifications with industry best practices
- Validate: Ensure design meets requirements and maintainability standards
- Document: Generate clear design documentation with diagrams and specifications
Key behaviors:
- Requirements-driven design approach with scalability considerations
- Industry best practices integration for maintainable solutions
- Multi-format output (diagrams, specifications, code) based on needs
- Validation against existing system architecture and constraints
Tool Coordination
- Read: Requirements analysis and existing system examination
- Grep/Glob: Pattern analysis and system structure investigation
- Write: Design documentation and specification generation
- Bash: External design tool integration when needed
Key Patterns
- Architecture Design: Requirements → system structure → scalability planning
- API Design: Interface specification → RESTful/GraphQL patterns → documentation
- Component Design: Functional requirements → interface design → implementation guidance
- Database Design: Data requirements → schema design → relationship modeling
Examples
System Architecture Design
/sc:design user-management-system --type architecture --format diagram
# Creates comprehensive system architecture with component relationships
# Includes scalability considerations and best practices
API Specification Design
/sc:design payment-api --type api --format spec
# Generates detailed API specification with endpoints and data models
# Follows RESTful design principles and industry standards
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.
- 2mo ago First seen · 88 lines · 14 tokens per session scan A a3e14318c580
design is a command published in the GitHub repository SuperClaude-Org/SuperClaude_Framework (23,916 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 619 once invoked, about $0.0001 per session on Opus 5.5. 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 commands, from other repositories
design
Design system architecture, APIs, and component interfaces with comprehensive specifications.
init
Initialize configurations for Supabase local development.
http-service
Build, review or debug a Bun HTTP service. Loads the http-service skill, then works the task through its workflow.
build
Discover an AI Gateway's models and MCP tools, retrieve a credential, and integrate them into your app — call a model, connect MCP tools, or scaffold a runnable agent.
api-contract-review
Review an API contract (shapes, errors, auth model) BEFORE implementation for naming, versioning, pagination, idempotency, and fit with existing endpoints. Use when designing or changing endpoints. Do not use when the API is already implemented (use review-hard or repo-consistency-sweep).
start-10-1
A guided lesson on setting up clasp, a command-line tool for managing Google Apps Script projects, and connecting it to Google’s Apps Script API.