culture-fit-interview

culture-fit-interview is a skill for Claude Code from CaesiumY/claude-interview-agents. It costs 62 tokens per session (1,905 once invoked), scanned A, original, MIT.

A question bank and scoring guide for preparing for executive and culture-fit job interviews. Culture-fit interviews explore how someone works with others, while executive interviews often focus on growth, judgment, and business impact.

In plain words
What is it for?
Use it to prepare interview questions, follow-ups, and evaluation points for a frontend developer’s final-round interview.
Why use it?
It helps replace generic interview practice with questions based on a candidate’s actual experience, portfolio, trade-offs, and mistakes. Follow-up questions help test whether answers are specific and consistent.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the interview-agents plugin — 7 skills, 8 commands, 9 agents shipped together

Good fit Use it to prepare interview questions, follow-ups, and evaluation points for a frontend developer’s final-round interview.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/caesiumy/claude-interview-agents/culture-fit-interview
Install

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.

Any agent
npx skills add CaesiumY/claude-interview-agents --skill culture-fit-interview
Clone the repo
git clone --depth 1 https://github.com/CaesiumY/claude-interview-agents

Made for: Claude Code.

Or install interview-agents, the plugin that ships this one along with the rest of its 7 skills, 8 commands, 9 agents.

Wrote 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.

agentmods badge for culture-fit-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/caesiumy/claude-interview-agents/culture-fit-interview/github.svg)](https://agentmods.dev/skills/caesiumy/claude-interview-agents/culture-fit-interview)
Your own site
<a href="https://agentmods.dev/skills/caesiumy/claude-interview-agents/culture-fit-interview"><img src="https://agentmods.dev/badge/skills/caesiumy/claude-interview-agents/culture-fit-interview/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.

agentmods 80×15 button for culture-fit-interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/caesiumy/claude-interview-agents/culture-fit-interview"><img src="https://agentmods.dev/badge/skills/caesiumy/claude-interview-agents/culture-fit-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,905 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.01905
Opus 5 $0.00031 $0.00953
Sonnet 5 $0.00012 $0.00381
Haiku 4.5 $0.00006 $0.00191

Measured 11d ago against content hash 8328b15edebb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

culture-fit-interview scanned grade A with 0 findings 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/culture-fit-interview/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

임원 면접·컬처핏 면접 스킬

역할

프론트엔드 3년차 이직의 최종 관문인 임원 면접(executive)과 컬처핏 면접(culture)을 준비시킵니다.

두 면접의 차이

구분 임원 면접 (executive) 컬처핏 면접 (culture)
면접관 CTO, 임원, 조직장 팀 리드, 동료, HR
핵심 질문 "3년 후에도 조직에 기여할 사람인가?" "우리 팀에서 행복하게 일할 사람인가?"
검증 초점 성장 서사, 사업 관점, 기술 의사결정의 비즈니스 연결 협업 스타일, 갈등 대응, 가치관

질문 설계 원칙

  1. 이력서·포트폴리오가 질문 트리거: 일반론 질문보다 지원자의 실제 경험에서 출발
    • 포트폴리오(portfolio/<slug>/final.md)가 있으면 거기 심어진 트레이드오프·실패 서사에서 질문 생성
  2. 꼬리질문으로 진정성 검증: 준비된 모범 답안은 첫 답변은 통과해도 꼬리질문에서 무너진다
  3. 일관성 검증(앵커링): 이력서의 사실·수치와 답변이 어긋나는지 확인

질문은행: 임원 면접 (executive)

A. 커리어·성장 서사

  1. 이직을 결심한 결정적 계기는 무엇인가요?
    • 꼬리: 그 문제를 현 직장에서 해결해보려는 시도는 해보셨나요?
    • 꼬리: 같은 문제가 우리 회사에서 생기면 어떻게 하실 건가요?
  2. 3년 뒤 어떤 개발자가 되어 있고 싶나요?
    • 꼬리: 그 목표를 위해 지금 하고 있는 것은?
  3. 주니어 때와 비교해 가장 크게 달라진 점은?
    • 꼬리: 그 변화를 만든 구체적 사건이 있나요?

B. 사업·조직 관점

  1. 본인 프로젝트가 회사 매출/비즈니스에 어떻게 기여했는지 설명해주세요
    • 꼬리: 그 수치는 어떻게 측정했나요?
  2. 기술적으로 옳지만 사업적으로 미뤄야 했던 결정이 있었나요?
    • 꼬리: 그때 본인의 입장은 무엇이었고, 결과적으로 옳았나요?
  3. 우리 회사/서비스에 대해 아는 대로 말해주세요 (지원 회사가 지정된 경우에만 선별 — 실제 회사명·서비스명으로 치환하여 질문)
    • 꼬리: 개발자 관점에서 개선하고 싶은 점 하나를 꼽는다면?

C. 책임·판단

  1. 본인의 판단 실수로 팀에 손해를 끼친 경험이 있나요?
    • 꼬리: 그 후 무엇이 달라졌나요?
  2. 상사와 의견이 강하게 갈렸던 경험은?
    • 꼬리: 결국 누구의 방식으로 진행됐고, 결과는?

질문은행: 컬처핏 면접 (culture)

A. 협업 스타일

  1. 함께 일하기 힘들었던 동료는 어떤 유형이었나요?
    • 꼬리: 그 사람과의 관계를 개선하기 위해 무엇을 했나요?
  2. 코드 리뷰에서 감정이 상했던 경험이 있나요?
    • 꼬리: 본인이 리뷰어일 때는 어떻게 전달하나요?
  3. 팀의 결정이 본인 생각과 다를 때 어떻게 하시나요?
    • 꼬리: 반대했지만 따랐던 결정이 결국 옳았던 적은?

B. 일하는 방식·가치관

  1. 일이 몰릴 때 우선순위를 어떻게 정하나요?
    • 꼬리: 기한을 못 지킬 것 같을 때 언제, 누구에게, 어떻게 알리나요?
  2. 어떤 팀 문화에서 최고의 성과를 내나요?
    • 꼬리: 반대로 성과가 꺾였던 환경은?
  3. 동료가 명백히 잘못된 코드를 머지하려 할 때 어떻게 하시나요?

C. 자기 인식

  1. 동료들이 말하는 본인의 단점은 무엇일까요?
    • 꼬리: 그 단점이 실제로 문제가 됐던 사례는?
  2. 최근 받은 피드백 중 가장 아팠던 것은?
    • 꼬리: 그 피드백을 어떻게 소화했나요?

꼬리질문 생성 규칙 (모의면접 진행 시)

답변을 받으면 아래 관점에서 0~2개의 꼬리질문을 즉석 생성합니다:

관점 트리거 꼬리질문 형태
앵커링 답변이 이력서/포트폴리오 내용과 관련 "이력서의 ○○과 연결되나요? 맞다면 구체적으로..."
정량 성과·개선을 언급했는데 수치가 없음 "그걸 숫자로 표현하면 어느 정도인가요?"
일관성 이전 답변과 미묘하게 어긋남 "아까 ○○라고 하셨는데, 이번 답변과는 어떤 관계인가요?"
구체화 답변이 일반론에 머무름 "가장 최근 사례 하나를 들어주세요"

Read the full file on GitHub · 129 lines

Changes

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.

  1. 11d ago First seen · 129 lines · 62 tokens per session scan A 8328b15edebb

Subscribe to this mod's changes

culture-fit-interview is a skill published in the GitHub repository CaesiumY/claude-interview-agents (2 stars, last pushed 26d ago), licensed MIT. It adds 62 tokens to every session and 1,905 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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