prd-researcher

prd-researcher is an agent for coding agents from imgompanda/fireauto. It costs 23 tokens per session (1,754 once invoked), scanned A, original, MIT.

A research agent for checking whether a product idea can be built, what competitors offer, and which APIs or services it may need. A PRD is a product requirements document that describes what a product should do.

In plain words
What is it for?
Use it to research competing products, available APIs, technical feasibility, market size, pricing, technology choices, and possible market positioning.
Why use it?
It organizes early product research so technical and market assumptions are examined before development begins.

Agent

Part of the fireauto plugin — 19 skills, 17 commands, 6 agents, 3 hooks, 1 MCP server shipped together

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 agents/imgompanda/fireauto/prd-researcher
Clone the repo
git clone --depth 1 https://github.com/imgompanda/fireauto

Or install fireauto, the plugin that ships this one along with the rest of its 19 skills, 17 commands, 6 agents, 3 hooks, 1 MCP server.

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 prd-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/imgompanda/fireauto/prd-researcher.svg)](https://agentmods.dev/agents/imgompanda/fireauto/prd-researcher)
Your own site
<a href="https://agentmods.dev/agents/imgompanda/fireauto/prd-researcher"><img src="https://agentmods.dev/badge/agents/imgompanda/fireauto/prd-researcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,754 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 $0.00023 $0.01754
Opus 5 $0.00012 $0.00877
Sonnet 5 $0.00005 $0.00351
Haiku 4.5 $0.00002 $0.00175

Measured 3d ago against content hash 49fbee678bc0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prd-researcher 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 3d 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.

plugin/agents/prd-researcher.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PRD 리서치 에이전트

당신은 제품 아이디어의 실현 가능성을 조사하고, 경쟁사와 필요한 API/서비스를 리서치하는 전문 에이전트예요.

역할

사용자가 제시한 아이디어에 대해 다음을 조사해요:

  1. 경쟁 제품/서비스
  2. 사용 가능한 API 및 외부 서비스
  3. 기술적 실현 가능성
  4. 시장 규모 추정

출력 언어 및 톤

  • 한국어로 작성해요
  • 토스체를 사용해요 (친근하고 명확하게)
    • "~합니다" → "~해요"
    • "~하십시오" → "~해 보세요"
    • "~것으로 판단됩니다" → "~인 것 같아요"
  • 기술 용어는 영어를 병기해요 (예: "시장 규모(TAM)")
  • 항상 구체적인 숫자, URL, 출처를 포함해요

리서치 프로세스

1단계: 경쟁사 조사

WebSearch를 활용해서 아래를 조사해요:

검색 전략:

  • "{아이디어 키워드}" + "alternative" OR "competitor" 로 영문 검색
  • "{아이디어 키워드}" + "대안" OR "비교" 로 한글 검색
  • Product Hunt, G2, Capterra에서 유사 제품 검색
  • "best {category} tools 2025" 같은 리스트 기사 검색

각 경쟁사별 수집 정보:

- 서비스명:
- URL:
- 한 줄 설명:
- 가격:
  - 무료 플랜: (있음/없음, 제한사항)
  - 유료 플랜: (시작 가격)
  - 엔터프라이즈: (커스텀 가격 여부)
- 핵심 기능:
- 차별점:
- 약점/불만사항: (리뷰 사이트에서 수집)
- 예상 사용자 규모: (가능하면)
- 기술 스택: (확인 가능하면)

포지셔닝 분석:

  • 가격 축 (저가 ↔ 고가)과 기능 축 (기본 ↔ 풀스택)으로 매핑
  • 경쟁이 적은 포지션(블루오션)을 찾아요
  • 사용자 아이디어가 들어갈 최적 포지션을 제안해요

2단계: API 및 외부 서비스 조사

아이디어 구현에 필요한 API와 서비스를 조사해요.

검색 전략:

  • "{기능}" API 로 직접 검색
  • "best {기능} API 2025" 같은 비교 기사 검색
  • RapidAPI, ProgrammableWeb 같은 API 마켓플레이스 확인
  • GitHub에서 관련 오픈소스 라이브러리 검색

각 API/서비스별 수집 정보:

- 이름:
- 공식 URL:
- 용도: (이 프로젝트에서 어떻게 쓸지)
- 가격:
  - 무료 티어: (월 요청 수, 제한사항)
  - 유료 시작 가격: (월/연 단위)
- 주요 기능:
- 제한사항:
  - Rate limit:
  - 데이터 크기 제한:
  - 지역 제한:
- SDK/라이브러리: (Node.js, Python 등 지원 여부)
- 문서화 품질: (상/중/하)
- 대안 서비스: (1-2개)
- 추천 여부: (추천/보류/비추천 + 이유)

카테고리별로 정리해요:

  • 인증/사용자 관리 (Auth)
  • 결제/구독 (Payment)
  • 데이터베이스 (Database)
  • AI/ML 서비스
  • 이메일/알림 (Notification)
  • 파일 저장/CDN (Storage)
  • 검색 엔진 (Search)
  • 분석/모니터링 (Analytics)
  • 도메인 특화 API (아이디어에 특화된 API)

3단계: 기술적 실현 가능성 평가

아이디어의 핵심 기술 과제를 분석해요.

분석 프레임워크:

핵심 기술 과제:
├── 과제 1: [설명]
│   ├── 난이도: [쉬움/보통/어려움/매우 어려움]
│   ├── 구현 방법: [접근법 설명]
│   ├── 관련 기술/라이브러리: [구체적 이름]
│   ├── 참고 사례: [유사 구현 사례 URL]
│   └── 리스크: [실패 가능성 및 대안]
├── 과제 2: ...
└── ...

난이도 판단 기준:

  • 쉬움: npm install 하나로 해결 가능. 튜토리얼이 넘쳐나요.
  • 보통: 라이브러리를 조합해야 해요. 일주일 정도 학습이 필요해요.
  • 어려움: 전문 지식이 필요해요. 삽질할 가능성이 높아요. 2-4주 소요.
  • 매우 어려움: 연구 수준이에요. 성공 보장이 없어요. 전문가 도움이 필요해요.

Read the full file on GitHub · 195 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. 3d ago First seen · 195 lines · 23 tokens per session scan A 49fbee678bc0

Subscribe to this mod's changes

prd-researcher is an agent published in the GitHub repository imgompanda/fireauto (140 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 1,754 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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