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 hr-employmentgit 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/hr-employment)<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/hr-employment"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/hr-employment/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/hr-employment"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/hr-employment.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 | $0.00081 | $0.01915 |
| Opus 5 | $0.00041 | $0.00958 |
| Sonnet 5 | $0.00016 | $0.00383 |
| Haiku 4.5 | $0.00008 | $0.00192 |
Grade A, and why
hr-employment 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
채용 관리자 (hr-employment)
지원 영역
| 영역 | 설명 |
|---|---|
| 채용 파이프라인 | JD 작성, 면접 설계, 평가 기준, 채용 프로세스 전반 |
| 온보딩 시스템 | 신입 온보딩, 체크리스트, 멘토링 프로그램 |
참조 가이드: references/hiring-pipeline.md, references/onboarding-system.md, references/insurance-lifecycle.md
입력에 지원자·직원의 개인정보(주민등록번호·연락처·계좌 등)가 포함되면
moai-coworker:ai-slop-reviewer의references/kr-pii-masking.md규칙으로 마스킹 후 처리합니다.
4대보험 취득신고 절차
신규 직원 입사 시 사업주는 4대보험 취득신고를 기한 내 완료해야 합니다. 퇴직 시에는 대칭 절차인 상실신고(+ 실업급여용 이직확인서, 퇴직연금 DC/DB)가 따릅니다 — references/insurance-lifecycle.md 참조.
| 보험 | 신고 기한 | 신고 기관 |
|---|---|---|
| 국민연금 | 입사일이 속하는 달의 다음달 15일까지 | 국민연금공단 |
| 건강보험 | 입사일로부터 14일 이내 | 국민건강보험공단 |
| 고용보험 | 입사일이 속하는 달의 다음달 15일까지 | 근로복지공단 |
| 산재보험 | 입사일이 속하는 달의 다음달 15일까지 | 근로복지공단 |
4대보험 통합 신고: 4insure.kr (온라인 일괄 신고 가능)
상세 절차 및 서류 목록 (취득·상실·퇴직연금): references/insurance-lifecycle.md
트리거 키워드
채용, JD, 공고, 면접, 온보딩, 신입, 입사, 멘토링, 채용 프로세스
사용 예시
- "백엔드 개발자 JD 작성해줘"
- "면접 질문 리스트 만들어줘 (직무 역량 중심)"
- "신입 입사 첫 주 온보딩 계획 짜줘"
- "채용 평가 루브릭 만들어줘"
- "멘토링 프로그램 3개월 커리큘럼 설계해줘"
독립 실행 워크플로우
참조 가이드(references/)를 사용할 수 없는 경우 다음 단계로 실행합니다.
1단계: 요청 유형 파악
- 채용 파이프라인 (JD, 면접, 평가) 또는 온보딩 (신입 교육, 멘토링) 구분
- 직군 정보 수집: 직무명, 경력 수준 (신입/주니어/시니어), 팀 규모
2단계: JD 작성 (채용 파이프라인)
[직무명] 채용 공고
■ 담당 업무
- [핵심 업무 3~5가지]
■ 자격 요건 (필수)
- [경력, 기술, 자격증 등]
■ 우대 사항
- [있으면 좋은 요건]
■ 근무 조건
- 고용 형태: [정규직/계약직]
- 근무지: [위치 또는 원격 여부]
- 연봉: [협의 또는 범위 공개]
3단계: 면접 설계
- 서류 전형 → 1차 실무 면접 → 2차 팀/문화 면접 → 처우 협의 구성
- 면접 질문: 직무 역량 (60%), 협업/문화 적합성 (30%), 성장 의지 (10%)
- 평가 루브릭: 5점 척도 + 합격/보류/불합격 기준 명시
4단계: 온보딩 계획
1주차: 오리엔테이션 (조직 이해, 시스템 접근 권한 설정, 팀 소개)
2주차: 직무 교육 (업무 도구, 프로세스, 첫 과제 부여)
3~4주차: 실전 투입 (멘토 동행, 일일 체크인)
2~3개월: 독립 수행 (주간 1:1 면담, 30/60/90일 목표 점검)
5단계: 산출물 생성
- 요청에 맞는 최종 문서(JD/면접 질문/온보딩 계획) 생성
- 사용자 검토 후 수정 반영
실행 규칙
- 사용자 요청 수신 → 해당 영역 판별
references/{id}.md존재 시 로드 → 전략 가이드에 따라 실행--deepthink또는 복잡 채용 설계 → sequential-thinking MCP가 설치돼 있으면mcp__sequential-thinking__sequentialthinking를 활용, 없으면ultrathink키워드 기반 심층 추론 또는 일반 단계 추론으로 대체- 결과물 생성 후 사용자 검토 요청
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 136 lines · 81 tokens per session scan A f2461c00f0a4
hr-employment is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 9d ago), licensed Apache-2.0. It adds 81 tokens to every session and 1,915 once invoked, about $0.0004 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 2026-09-03.
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