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.
npx skills add modu-ai/moai-cowork --skill data-realestategit clone --depth 1 https://github.com/modu-ai/moai-coworkWrote 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/skills/modu-ai/moai-cowork/data-realestate)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/data-realestate"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/data-realestate/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/skills/modu-ai/moai-cowork/data-realestate"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/data-realestate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00230 | $0.01742 |
| Opus 5 | $0.00115 | $0.00871 |
| Sonnet 5 | $0.00046 | $0.00348 |
| Haiku 4.5 | $0.00023 | $0.00174 |
Grade A, and why
data-realestate scanned grade A with 1 finding 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 11d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsS --get 'https://k-skill-proxy.nomadamas.org/v1/real-estate/region-code' \ How it starts
The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.
한국 부동산 실거래가 조회
국토교통부(MOLIT) 실거래가 신고 데이터를 기반으로 매매·전월세 실거래를 조회합니다. 사업·투자 분석, 입지 검토, 자산 평가에 활용합니다.
본 스킬은
tae0y/real-estate-mcp(MIT)를 NomaDamas k-skill-proxy 경유로 단순화한 가이드입니다.
When to use / When not to use
사용: 실거래가/전월세 조회, 단지별 시세 추이, 평형별 가격 분포, 지역별 시세 비교.
사용 금지: 해외 부동산, 호가/매물 비교(실거래 아님), 세금·등기·중개 법률 자문, 청약홈 분양/당첨 조회.
Inputs
q: 지역명 (region-code endpoint, 예:"서울 강남구")lawd_cd: 5자리 법정동 코드 (transaction endpoint, 예:"11680")deal_ymd: 6자리 거래년월 YYYYMM (예:"202403")num_of_rows: 조회 건수 (기본 100, 최대 1000)
Prerequisites
사용자 측 필수 시크릿 없음. 인터넷 연결만 있으면 동작합니다.
KSKILL_PROXY_BASE_URL(선택): self-host 프록시 사용 시. 비우면 기본 hostedhttps://k-skill-proxy.nomadamas.org사용.- 운영 측
DATA_GO_KR_API_KEY는 프록시 서버 환경에만 둡니다.
Supported endpoints
지역코드 조회
GET /v1/real-estate/region-code?q={지역명}
실거래가/전월세 조회
GET /v1/real-estate/:assetType/:dealType?lawd_cd={코드}&deal_ymd={년월}
| assetType | dealType | 설명 |
|---|---|---|
apartment |
trade |
아파트 매매 |
apartment |
rent |
아파트 전월세 |
officetel |
trade |
오피스텔 매매 |
officetel |
rent |
오피스텔 전월세 |
villa |
trade |
연립다세대 매매 |
villa |
rent |
연립다세대 전월세 |
single-house |
trade |
단독/다가구 매매 |
single-house |
rent |
단독/다가구 전월세 |
commercial |
trade |
상업업무용 매매 |
commercial/rent는 미지원.
Examples
# 지역코드 조회
curl -fsS --get 'https://k-skill-proxy.nomadamas.org/v1/real-estate/region-code' \
--data-urlencode 'q=강남구'
# 아파트 매매 실거래가
curl -fsS --get 'https://k-skill-proxy.nomadamas.org/v1/real-estate/apartment/trade' \
--data-urlencode 'lawd_cd=11680' \
--data-urlencode 'deal_ymd=202403'
# 오피스텔 전월세
curl -fsS --get 'https://k-skill-proxy.nomadamas.org/v1/real-estate/officetel/rent' \
--data-urlencode 'lawd_cd=11680' \
--data-urlencode 'deal_ymd=202403'
Response shape
매매:
{
"items": [
{
"name": "래미안 퍼스티지",
"district": "반포동",
"area_m2": 84.99,
"floor": 12,
"price_10k": 245000,
"deal_date": "2024-03-15",
"build_year": 2009,
"deal_type": "중개거래"
}
],
"summary": {
"median_price_10k": 230000,
"min_price_10k": 180000,
"max_price_10k": 310000,
"sample_count": 42
}
}
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.
- 11d ago First seen · 153 lines · 230 tokens per session scan A 2a1a44e7b9dc
data-realestate is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 8d ago), licensed Apache-2.0. It adds 230 tokens to every session and 1,742 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
recipe-create-expense-tracker
Set up a Google Sheets spreadsheet for tracking expenses with headers and initial entries.
earnings-watch
Earnings-season prep for your holdings and watchlist -- report dates, what the market is actually watching per name, prior-quarter context, and a post-report debrief template. Preparation, not prediction. Use in the weeks around earnings season.
portfolio-review
Analyze your actual holdings -- allocation, concentration, sector and theme overlap, correlated-risk flags, and the questions worth asking yourself. Works from a broker CSV export or a pasted list. Analysis only, never buy/sell advice.
ticker-brief
One company on one page -- what the business actually does, how it makes money, recent results and guidance, valuation context, the honest bull and bear case, and the risks. Research support, not a recommendation. Use before buying, before earnings, or when a position needs a fresh look.
stocks
Stock quotes, history, search, compare, crypto via Yahoo.
polymarket
Query Polymarket: markets, prices, orderbooks, history.