출력
기대 결과
- public call
- representative return shape
- verification result
엔진 역할
gather engine application skill for Sector information.
공개 호출 방식
import dartlab
g = dartlab.gather()
result = g.sector("005930", market="KR") 호출 동작
Reads provider/cache/snapshot data and checks freshness, source, and API-key limits. Interpretation is handed off to analysis, macro, scan, or story.
대표 반환 형태
Returns a DataFrame, dict/list, snapshot object, or None. Core fields are provider, source, target, market, latestAsOf/date, metric, value, unit, and flags.
기본 실행 순서
- target, period, and source data are fixed first.
- Run the public call exactly as documented.
- Check latestAsOf/date, missing values, flags, and assumptions.
- Bind numeric claims to tableRef/valueRef/dateRef/executionRef.
- Hand off multi-axis narrative composition to story or the parent report skill.
기본 검증
This skill is a public execution document. If this axis call, representative return keys, error behavior, or runtime limits change, update this file in the same change.
런타임
실행 환경별 호환성
| 환경 | 상태 | 비고 / 제한 |
|---|---|---|
| Local Python | supported | — |
| Server | supported | — |
| MCP | supported | — |
| Web AI | supported | — |
| Pyodide | limited | — |
실패 회피
흔한 실패 · 절대 금지
절대 금지
- Do not expose API keys or credentials.
- Do not claim freshness without source/latestAsOf.
- Do not present raw gather output as analysis.