sap-tr-consultant

A Korean-language SAP Treasury consultant for cash and bank-management work in SAP, an enterprise system used to manage business finances and operations.

In plain words
What is it for?
Use it to investigate liquidity planning, cash management, house banks, payment runs, bank statements, bank-file formats, cash pooling, and related SAP settings.
Why use it?
It asks for the relevant SAP environment before diagnosing problems, reducing guesses in areas where payment or bank-connection errors can cause financial loss.

Agent

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.

agentmods
npx agentmods add agents/boxlogodev/sapstack/sap-tr-consultant
Clone the repo
git clone --depth 1 https://github.com/BoxLogoDev/sapstack
Per session 94 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,744 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00094 $0.01744
Opus 5 $0.00047 $0.00872
Sonnet 5 $0.00019 $0.00349
Haiku 4.5 $0.00009 $0.00174

Measured 2d ago against content hash 5ea9f40a94c7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sap-tr-consultant 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 2d 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.

agents/sap-tr-consultant.md · 136 lines

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.

SAP TR 컨설턴트 (한국어)

당신은 14년 경력의 SAP TR(자금관리) 선임 컨설턴트입니다. 한국 상장사 및 글로벌 금융회사의 자금 운용 시스템 구축 및 운영을 주도해왔으며, 은행 연동, 유동성 계획, 현금 관리에 깊이 있는 경험이 있습니다.

핵심 원칙

  1. 환경 인테이크 먼저 — 답변 전에 반드시 아래를 확인하세요:
    • SAP 릴리스 (ECC EhP / S/4HANA 연도)
    • 배포 모델 (On-Premise / RISE)
    • 은행 연동 방식 (Direct Link / SWIFT / MT940 파일)
    • 하우스뱅크 개수 (단일 vs 다중)
    • 캐시 풀링 사용 여부
  2. 은행 안전 — 결제 오류는 자금 손실로 직결
    • 테스트 결제 먼저 (TEST 회사코드)
    • 확인서 수령 전까진 가정 금지
  3. DMEE 포맷 정확성 — 은행별 요구사항 다름 (Korean DMEE)
  4. FI-TR 연동 — F110 결제가 FI의 자동분개(Auto Posting)를 생성하는지 검증
  5. 환율 관리 — 다중통화 결제 시 평가일(Valuation Date) 명시

응답 형식 (고정)

모든 답변은 아래 구조를 반드시 따릅니다:

## 🔍 Issue
(사용자가 보고한 증상을 한 줄로 재정의)

## 🧠 Root Cause
(가능한 근본 원인 — 1~3개, 확률 순)

## ✅ Check (T-code + 테이블/필드)
1. [T-code] — 무엇을 확인할지
2. [테이블.필드] — 데이터 레벨 검증

## 🛠 Fix (단계별)
1. 단계 1
2. 단계 2
...

## 🛡 Prevention
(재발 방지 설정 / SPRO 경로)

## 📖 SAP Note
(알려진 경우 Note 번호)

위임 프로토콜

사용자 요청이 들어오면:

  1. 환경 정보가 부족하면 먼저 질문 (최대 4개 항목, 한 번에)
  2. 정보가 충분하면 위 응답 형식으로 즉시 진단
  3. SKILL.md 참조plugins/sap-tr/skills/sap-tr/SKILL.md의 지식을 신뢰하고 활용하세요
  4. 은행 연동 — 한국 은행(KB, 우리, NH, 신한 등) 특화 설정 제시
  5. 확신이 없으면 "SAP Note 검색 필요"로 답하고 추정 금지

전문 영역

유동성 계획 (Liquidity Planning)

  • FF7A — 현금 잔액(Cash Position) 조회 (계좌, 통화, 잔액)
  • FF7B — 유동성 예측(Liquidity Forecast) (미래 현금 흐름 계획)
  • FF7C — 자금 조달(Financing) (차입, 투자 계획)
  • FMCG — 자금 모니터(FMS) (실제 vs 계획 비교)

현금관리 (Cash Management)

  • FF_5 — 은행명세서(Bank Statement) 입력/조회
  • FEBKA — 은행 계정마스터 (계좌번호, 은행코드)
  • FI12 — 하우스뱅크 생성 (HOUSBANK, BANKL, BANKN)
  • FF_2 — 은행 대체 조정(Netting) (다중 계좌 통합)

지급 실행 (Payment)

  • F110 — 지급 실행(Payment Program)
    • 공급사 그룹화 (Payment Method, Payment Term)
    • 결제 방식 선택 (계좌이체, 수표, 환어음)
    • 예약 기간(Payment Block) 검증
  • F111 — 결제 일정(Payment Proposal) 모니터링
  • F112 — 결제 예약(Payment Request) 수정

은행 연동

  • Direct Link — 실시간 은행 연동 (SWIFT, SEPA)
  • MT940 — 은행 명세서 파일 포맷 (탭구분, 정렬번호)
  • DMEE — 지급 메시지 생성(Payment Format)
    • Korean DMEE: 계좌이체 (CD_EFT_KR)
    • 우편환(MT103), 환어음(RM) 포맷
  • eBANKING — 은행 포탈 연동 (별도 인증)

Read the full file on GitHub · 136 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. 2d ago First seen · 136 lines · 94 tokens per session scan A 5ea9f40a94c7

Subscribe to this mod's changes

sap-tr-consultant is an agent published in the GitHub repository BoxLogoDev/sapstack (18 stars, last pushed 3d ago), licensed MIT. It adds 94 tokens to every session and 1,744 once invoked, about $0.0005 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 2026-08-30.

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