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-stockgit 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-stock)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/data-stock"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/data-stock/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-stock"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/data-stock.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 | $0.00223 | $0.01854 |
| Opus 5 | $0.00112 | $0.00927 |
| Sonnet 5 | $0.00045 | $0.00371 |
| Haiku 4.5 | $0.00022 | $0.00185 |
Grade A, and why
data-stock 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/korean-stock/search' \ How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
KRX 한국 주식 검색·시세
KRX(한국거래소) 상장 종목 검색, 종목 기본정보, 일별 시세를 조회합니다. moai-coworker의 DART(공시)를 보완하는 시세 데이터로 활용합니다.
본 스킬은 NomaDamas k-skill
korean-stock-search(MIT) 기반이며, upstream 설계 참고는jjlabsio/korea-stock-mcp입니다.KRX_API_KEY는 프록시 서버에서만 관리하므로 사용자 발급 불필요.
When to use / When not to use
사용: 종목 검색(이름·코드), 종목 기본정보, 일별 종가·거래량·시가총액, KRX 공식 데이터 기반 단순 시세 조회.
사용 금지: 미국·일본·가상자산 등 비한국 주식, 실시간 체결·호가·분봉, 재무제표·공시 원문(→ DART MCP 사용), 투자 자문·매수 추천.
Inputs
q: 종목명/종목코드 검색어 (search endpoint)market:KOSPI|KOSDAQ|KONEXcode: 종목코드 (보통 6자리, 예:005930)bas_dd: 기준일YYYYMMDD(없으면 KST 오늘. 휴장일이면 최근 영업일로 재시도)limit: 검색 결과 수 (기본 10, 최대 20)
Prerequisites
사용자 측 필수 시크릿 없음.
KSKILL_PROXY_BASE_URL(선택): self-host 시- 운영 측
KRX_API_KEY는 프록시 서버 환경에만 둡니다
Endpoints
GET /v1/korean-stock/search?q={검색어}&bas_dd={YYYYMMDD}
GET /v1/korean-stock/base-info?market={KOSPI|KOSDAQ|KONEX}&code={코드}&bas_dd={YYYYMMDD}
GET /v1/korean-stock/trade-info?market={KOSPI|KOSDAQ|KONEX}&code={코드}&bas_dd={YYYYMMDD}
Examples
# 종목 검색
curl -fsS --get 'https://k-skill-proxy.nomadamas.org/v1/korean-stock/search' \
--data-urlencode 'q=삼성전자' --data-urlencode 'bas_dd=20260408'
# 종목 기본정보
curl -fsS --get 'https://k-skill-proxy.nomadamas.org/v1/korean-stock/base-info' \
--data-urlencode 'market=KOSPI' --data-urlencode 'code=005930' \
--data-urlencode 'bas_dd=20260408'
# 일별 시세
curl -fsS --get 'https://k-skill-proxy.nomadamas.org/v1/korean-stock/trade-info' \
--data-urlencode 'market=KOSPI' --data-urlencode 'code=005930' \
--data-urlencode 'bas_dd=20260408'
Response shape
검색:
{
"items": [
{
"market": "KOSPI",
"code": "005930",
"standard_code": "KR7005930003",
"name": "삼성전자",
"english_name": "Samsung Electronics",
"listed_at": "1975-06-11"
}
]
}
일별 시세:
{
"item": {
"market": "KOSPI",
"code": "005930",
"base_date": "20260408",
"name": "삼성전자",
"close_price": 84000,
"change_price": 1000,
"fluctuation_rate": 1.2,
"open_price": 83000,
"high_price": 84500,
"low_price": 82800,
"trading_volume": 12345678,
"trading_value": 1030000000000,
"market_cap": 500000000000000
}
}
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 · 157 lines · 223 tokens per session scan A 98152accaf63
data-stock is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 7d ago), licensed Apache-2.0. It adds 223 tokens to every session and 1,854 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.
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.
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.
stocks
Stock quotes, history, search, compare, crypto via Yahoo.
management-deep-dive
A research workflow for evaluating a company’s managers and leaders. It treats buying shares as partly trusting the people who run the business.