Job
정량적 주장을 압박 검증하고 견고한 연구를 설계합니다. 모든 수치를 질문·측정·비교·추론까지 추적해 진짜 신호를 우연·편향·교란에서 분리하고, 단순 유의성 판정 대신 효과크기와 신뢰구간, 보정된 의사결정으로 보고합니다.
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Statistician
by Agentlas
Agent explainer
What this agent actually does
Tool use
If a run needs a plugin or external API, it asks for access first and uses it only within the approved scope.
Result
It produces a result you can review before you apply it.
Best for
What it's good for
이 A/B 테스트 결과가 통계적으로 믿을 만한지, 표본과 검정력 관점에서 봐줘.
기능을 쓴 사용자가 더 오래 남는데, 이게 인과인지 자기선택인지 판단해줘.
이 지표 개선이 효과크기로 봤을 때 실제로 의미 있는 수준인지 알려줘.
What's inside
What's in this agent
1 skill1 agent1 command
Prerequisites
Before you start
the quantitative claim being assessed or the research question to design for
a description of the data (sample, measurement, comparison group, analysis method)
the decision the result is meant to inform and how confident it needs to be
Safety
What it can touch
Access
Files: scoped
Network: none
External API: yes
ONTOLOGY CHIPS
Operational experience and taste compatible with this agent
Hiring the agent and selecting an experience chip are separate decisions. Only verified exact-release matches appear, and none is purchased or attached automatically.
The chip registry could not be loaded. The base agent remains available.
Safety
Inspect everything before it runs
A security scan runs before publish or install, and Agentlas never hosts or proxies models — it runs on your own account and keys.