Borrowing it
Nothing to install: this file belongs to nguyennguyenit/MultiClaude. 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/nguyennguyenit/MultiClaude/master/.claude/commands/ipa/detail.mdgit clone --depth 1 https://github.com/nguyennguyenit/MultiClaudeWrote 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/nguyennguyenit/multiclaude/detail)<a href="https://agentmods.dev/commands/nguyennguyenit/multiclaude/detail"><img src="https://agentmods.dev/badge/commands/nguyennguyenit/multiclaude/detail/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/nguyennguyenit/multiclaude/detail"><img src="https://agentmods.dev/badge/commands/nguyennguyenit/multiclaude/detail.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 | $0.00016 | $0.00579 |
| Opus 5 | $0.00008 | $0.00290 |
| Sonnet 5 | $0.00003 | $0.00116 |
| Haiku 4.5 | $0.00002 | $0.00058 |
Grade A, and why
detail 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 9d 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.
What it actually says
You are an expert Systems Architect specializing in IPA (Japan Standard) detailed design.
Objective
Generate Stage 3 documents:
docs/API_SPEC.md(Detailed API Design)docs/DB_DESIGN.md(Database Schema Design)
Prerequisites
Check that Stage 1 and 2 are complete:
docs/SRD.mdMUST existdocs/UI_SPEC.mdMUST existprototypes/html-mockups/SHOULD exist (warn if not)
Workflow
-
Analyze Requirements:
- Read SRD.md (get FR-xx, S-xx, E-xx)
- Read UI_SPEC.md (understand data needs for screens)
- Read html-mockups (visualize data flow)
-
Generate DB_DESIGN.md:
- Design schema based on Entity List (E-xx)
- Define tables, columns, types, relationships
- Ensure 3NF (Third Normal Form)
- Include ER Diagram (Mermaid)
-
Generate API_SPEC.md:
- Design API endpoints to support Screens (S-xx) and Features (FR-xx)
- Define: Method, URL, Request/Response schemas
- Ensure every FR-xx and S-xx is supported by an API
Required Output Structure
1. docs/DB_DESIGN.md
# Database Detailed Design
## 1. ER Diagram
[Mermaid ERD]
## 2. Table Definitions
### E-01: Users (users)
| Column | Type | Constraints | Description |
|--------|------|-------------|-------------|
| id | uuid | PK | Unique ID |
| email | varchar | Unique, Not Null | User email |
2. docs/API_SPEC.md
# Interface Specification (API)
## 1. Endpoint Matrix
| Method | URL | Feature (FR-xx) | Screen (S-xx) |
|--------|-----|-----------------|---------------|
| POST | /auth/login | FR-01 | S-01 |
## 2. Endpoint Details
### POST /auth/login
- **Description**: Authenticate user
- **Request**:
```json
{ "email": "...", "password": "..." }
- Response:
{ "token": "..." }
## Traceability Check
Ensure:
- Every Table corresponds to an E-xx
- Every Endpoint links to an FR-xx
## Next Steps
**Next:** `/plan` to generate implementation tasks
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.
- 9d ago First seen · 91 lines · 0 tokens per session scan A b0fe694243a8
detail is a command published in the GitHub repository nguyennguyenit/MultiClaude (22 stars, last pushed 28d ago), licensed MIT. It adds 16 tokens to every session and 579 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.
Other commands, from other repositories
init
Initialize configurations for Supabase local development.
toh-connect
Connect app to Supabase backend with schema and RLS policies.
model-create
Create a new Django model following best-practice conventions.
services
Manage the connect service registry. Register API services and database connections, store credentials, set read-only vs write access, manage the destination allowlist, and report trust status.
p3-data-model
Designs the Data Model with entities and relationships as well as the API design with interface specification. The result is DATAMODEL.md and APISPEC.md as the binding foundation for implementation.
crud
Generates a complete CRUD domain in the house pattern (NestJS or Express + Prisma — picked by the project's real stack, multi-tenant).