trd

trd is a command for Claude Code from studioKjm/ai-harness-template. It costs 35 tokens per session (1,197 once invoked), scanned A, original, MIT.

A command that turns an initial feature specification into a proposed technical design document. It organizes the design into presentation, logic, and data layers, which separate the user interface, business rules, and storage or external services.

In plain words
What is it for?
Reviewing a project's current structure, mapping requirements to a three-layer design, and presenting architecture choices and discussion points before breaking the work into tasks.
Why use it?
It helps expose unclear decisions before implementation begins, such as how layers communicate and where errors or outside-service connections belong. It is intended to run after /seed and before /decompose.

Command for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the harness plugin — 44 commands, 11 agents shipped together

Good fit Reviewing a project's current structure, mapping requirements to a three-layer design, and…

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/studiokjm/ai-harness-template/trd
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.

Clone the repo
git clone --depth 1 https://github.com/studioKjm/ai-harness-template

Made for: Claude Code.

Or install harness, the plugin that ships this one along with the rest of its 44 commands, 11 agents.

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 trd

README.md
[![agentmods](https://agentmods.dev/badge/commands/studiokjm/ai-harness-template/trd.svg)](https://agentmods.dev/commands/studiokjm/ai-harness-template/trd)
Your own site
<a href="https://agentmods.dev/commands/studiokjm/ai-harness-template/trd"><img src="https://agentmods.dev/badge/commands/studiokjm/ai-harness-template/trd.svg" alt="Measured on agentmods" height="20"></a>
Per session 35 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,197 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00035 $0.01197
Opus 5 $0.00017 $0.00598
Sonnet 5 $0.00007 $0.00239
Haiku 4.5 $0.00003 $0.00120

Measured 7d ago against content hash dd56a6142cdf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

trd 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 7d 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.

commands/trd.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/trd — Technical Requirements Document (기술 설계서)

3-tier layered architecture 기반 기술 설계서를 작성합니다. 바로 설계서를 작성하지 않습니다. 먼저 큰 그림을 소개하고, 논의점을 제시합니다.


워크플로우

Phase 1: 탐색 (Explore)

  1. 프로젝트 현황 파악

    • 관련 문서 확인: docs/, ARCHITECTURE_INVARIANTS.md, seed spec (.harness/ouroboros/seeds/)
    • 현재 코드베이스 구조와 상태를 파악합니다
    • 기존 레이어 분리 상태를 점검합니다
  2. 요구사항 확인

    • seed spec이 있다면 goal, constraints, acceptance_criteria 기반으로 진행
    • 없다면 사용자에게 기능 설명을 요청합니다

Phase 2: 큰 그림 제시

3-tier layered architecture를 반드시 준수하며, 큰 그림을 사용자에게 먼저 소개합니다:

[Presentation Layer]  ──→  [Logic Layer]  ──→  [Data Layer]
   UI/HTTP 경계              비즈니스 규칙          저장/불러오기

각 레이어별로 설명합니다:

  • Presentation: 어떤 엔드포인트/페이지/컴포넌트가 필요한가?
  • Logic: 어떤 비즈니스 규칙을 처리해야 하는가?
  • Data: 어떤 데이터를 저장/조회/외부 연동해야 하는가?
  • 그 밖에 필요한 레이어(e.g., Infrastructure, Shared)가 있다면 최소한으로 추가합니다

Phase 3: 논의점 제시

바로 구현으로 넘어가지 않습니다. 다음을 사용자에게 제시합니다:

  1. 기술적으로 모호한 부분

    • 레이어 간 통신 방식 (DTO vs Interface vs Plain Object)
    • 외부 서비스 연동 위치 (Logic vs Data)
    • 에러 핸들링 전략 (어느 레이어에서 잡을 것인가)
  2. 중요 결정 사항

    • 각 결정에 대해 resource 소모(개발 시간, 복잡도)와 impact(유지보수, 확장성)를 설명
    • 기술 배경이 깊지 않은 사람도 이해할 수 있게 쉽게 설명
  3. 레이어 분리 전략

    • 디렉토리 구조 제안
    • 각 모듈이 어느 레이어에 속하는지 명시
    • 레이어 간 의존성 방향 확인

Phase 4: 최종 설계서 작성

모든 논의가 완료된 후, /docs/TRD.md를 작성합니다.

TRD 구조
# Technical Requirements Document — [Feature Name]

## 1. Overview
- 목표 요약
- 아키텍처 패턴: 3-tier layered

## 2. Layer Design

### 2.1 Presentation Layer
- 엔드포인트/페이지 목록
- 요청/응답 형식 (DTO)
- 입력 검증 규칙

### 2.2 Logic Layer
- 서비스 모듈 목록
- 비즈니스 규칙 상세
- 트랜잭션 경계

### 2.3 Data Layer
- 엔티티/테이블 설계
- 레포지토리 인터페이스
- 외부 연동 목록

## 3. Layer Communication
- Presentation → Logic: [방식]
- Logic → Data: [방식]
- 데이터 전달 형식: [DTO/Interface]

## 4. Directory Structure
- 파일/디렉토리 배치 계획

## 5. Test Strategy
- Logic Layer: 단위 테스트 (순수 비즈니스 로직)
- Data Layer: 통합 테스트
- Presentation Layer: E2E / API 테스트
- 구현과 테스트 함께 작성

## 6. Decisions & Trade-offs
- 주요 결정 사항과 근거

## 7. Implementation Order
- 레이어별 구현 순서 (보통 Data → Logic → Presentation)
- 각 단계별 테스트 작성 시점

Read the full file on GitHub · 136 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. 7d ago First seen · 136 lines · 35 tokens per session scan A dd56a6142cdf

Subscribe to this mod's changes

trd is a command published in the GitHub repository studioKjm/ai-harness-template (43 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 1,197 once invoked, about $0.0002 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.