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Skills/nomadamas/k-skill/bunjang-search
bunjang-search logo

bunjang-search

nomadamas/k-skill
2K installs6K stars
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Installation

npx skills add https://github.com/nomadamas/k-skill --skill bunjang-search

Summary

번개장터 검색, 상세조회, 찜, 채팅, 대량 수집, AI TOON export를 bunjang-cli로 안내한다.

SKILL.md

Bunjang Search

What this skill does

upstream bunjang-cli / pinion05/bunjangcli 를 사용해 번개장터에서 아래 흐름을 처리한다.

  • 상품 검색
  • 상품 상세조회
  • 선택적 찜/채팅
  • 다페이지 대량 수집
  • AI 분석용 TOON chunk export

Core policy

  • 기본 경로는 항상 CLI first 다.
  • 기본 명령은 npx --yes bunjang-cli ... 형식을 쓴다.
  • auth login 은 headful 브라우저 + TTY / interactive 터미널이 필요하다.
  • 로그인 전에는 검색/상세조회/대량 수집 위주로 답하고, favorite / chat / purchase 는 선택적 로그인 플로우로만 안내한다.
  • 대량 수집은 --start-page, --pages, --max-items, --with-detail, --output 조합을 우선 쓴다.
  • AI 분석용 export 는 --ai --output <directory> 로 .toon chunk 를 만든다.
  • 찜/채팅은 명시적으로 요청받지 않으면 실행하지 않는다.

When to use

  • "번개장터에서 아이폰 검색해줘"
  • "번장에서 이 상품 상세 봐줘"
  • "여러 페이지 모아서 JSON으로 저장해줘"
  • "AI 평가용으로 번개장터 결과를 chunk 로 만들어줘"

When not to use

  • 계정 로그인 없이 바로 찜/채팅을 강행해야 하는 경우
  • 구매 확정/결제 자동화를 기대하는 경우
  • 번개장터 외 다른 중고거래 플랫폼을 동시에 다뤄야 하는 경우

Quick smoke test

npx --yes bunjang-cli --help
npx --yes bunjang-cli --json auth status
npx --yes bunjang-cli --json search "아이폰" --max-items 3 --sort date
npx --yes bunjang-cli --json item get 354957625

Login flow

npx --yes bunjang-cli auth login
npx --yes bunjang-cli auth logout
npx --yes bunjang-cli --json auth status
  • auth login 은 브라우저에서 로그인한 뒤 터미널로 돌아와 Enter 를 눌러야 완료된다.
  • 그래서 비-TTY 실행 대신 interactive 세션에서만 진행한다.

Search flow

npx --yes bunjang-cli search "아이폰"
npx --yes bunjang-cli search "아이폰" --price-min 500000 --price-max 1200000
npx --yes bunjang-cli search "아이폰" --sort date
npx --yes bunjang-cli --json search "아이폰" --max-items 5

검색 결과는 광고/매입글/악세서리 노이즈가 섞이고, search summary 의 location 이 noisy 하거나 description / status 가 비어 있을 수 있다. 그래서 검색 단계는 제목/가격 중심 1차 triage 로만 쓴다.

  • 기기명/용량 키워드 일치 여부
  • 가격대 범위
  • 판매 링크/썸네일 중복 여부

description, status, 깔끔한 location 이 필요하면 반드시 item get 또는 --with-detail 이후 에만 판단한다.

Detail flow

npx --yes bunjang-cli item get 354957625
npx --yes bunjang-cli --json item get 354957625
npx --yes bunjang-cli --json item list --ids 354957625,354801707

상세조회에서는 아래 필드를 먼저 읽는다.

  • price
  • description
  • location
  • category
  • status
  • sellerName
  • sellerItemCount
  • sellerFollowerCount
  • sellerReviewCount
  • favoriteCount
  • transportUsed

Bulk collection

npx --yes bunjang-cli search "아이폰" \
  --start-page 1 \
  --pages 5 \
  --max-items 50 \
  --sort date \
  --with-detail \
  --output artifacts/bunjang-iphone.json

검증할 때는 export 파일 생성 여부와 top-level items[] 안의 summary / detail / optional error 구조, 그리고 각 item 의 sourcePage 또는 summary.raw.page 를 같이 확인한다.

AI export

npx --yes bunjang-cli search "아이폰" \
  --start-page 1 \
  --pages 5 \
  --max-items 50 \
  --with-detail \
  --ai \
  --output artifacts/bunjang-iphone-ai
  • --ai 에서는 --output 이 파일이 아니라 디렉토리 여야 한다.
  • 결과는 items-1.toon 형태 chunk 로 저장된다.
  • AI 평가용으로 여러 서브에이전트에 분산 읽기시키기 좋다.

Optional favorite/chat flow

로그인된 interactive 세션에서만 아래 액션을 진행한다.

npx --yes bunjang-cli --json favorite list
npx --yes bunjang-cli --json favorite add 354957625
npx --yes bunjang-cli --json favorite remove 354957625
npx --yes bunjang-cli --json chat list
npx --yes bunjang-cli --json chat start 354957625 --message "안녕하세요"
npx --yes bunjang-cli --json chat send 84191651 --message "상품 상태 괜찮을까요?"
  • 찜/채팅은 로그인이 필요한 선택적 기능이다.
  • 검증 목적이면 favorite list 로 세션을 먼저 확인하고, 같은 상품에 대해 favorite add / favorite remove 를 왕복 실행한다.
  • chat start 는 상품 페이지에서 새 대화를 열 때, chat send 는 기존 thread 에 메시지를 보낼 때 쓴다.

Recommended response format

  1. 검색어가 넓으면 예산/모델/지역을 먼저 좁힌다.
  2. 검색 결과 상위 3~5개는 제목/가격 중심 1차 요약만 한다.
  3. description / status / location 판단이 필요하면 item get 또는 --with-detail 로 상세를 먼저 읽는다.
  4. 로그인 액션이 필요하면 "지금은 로그인 세션이 없으니 interactive TTY 에서 auth login 후 다시 진행" 이라고 분명히 말한다.
  5. 대량 분석이면 JSON export 또는 TOON chunk 생성 경로를 제안한다.

Done when

  • 검색/상세조회/대량 수집/AI export 중 필요한 경로가 안내되었다.
  • 찜/채팅은 로그인 필요성과 선택적 성격이 명확히 고지되었다.
  • 자동 구매/결제는 범위 밖이라고 분명히 말했다.

Score

0–100
65/ 100

Grade

C

Popularity17/30

2,341 installs — growing adoption. Source repo has 5,596 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Bunjang Search skill score badge previewScore badge

Markdown

[![Bunjang Search skill](https://www.remoteopenclaw.com/skills/nomadamas/k-skill/bunjang-search/badges/score.svg)](https://www.remoteopenclaw.com/skills/nomadamas/k-skill/bunjang-search)

HTML

<a href="https://www.remoteopenclaw.com/skills/nomadamas/k-skill/bunjang-search"><img src="https://www.remoteopenclaw.com/skills/nomadamas/k-skill/bunjang-search/badges/score.svg" alt="Bunjang Search skill"/></a>

Bunjang Search FAQ

How do I install the Bunjang Search skill?

Run “npx skills add https://github.com/nomadamas/k-skill --skill bunjang-search” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Bunjang Search skill do?

번개장터 검색, 상세조회, 찜, 채팅, 대량 수집, AI TOON export를 bunjang-cli로 안내한다. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Bunjang Search skill free?

Yes. Bunjang Search is a free, open-source skill published from nomadamas/k-skill. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Bunjang Search work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Bunjang Search works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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