SAP-RPT-1-OSS local tabular prediction workflows for FI/CO prototype datasets. Use when preparing SAP finance CSV exports for classification or regression experiments with source-verified setup, leakage checks, and governance review.

SAP RPT 1 OSS FI/CO Predictor Skill Use SAP RPT 1 OSS for local, source reviewed tabular prediction experiments on FI/CO CSV extracts. Keep this skill scoped to prototype and research workflows; do not present predictions as production finance, credit, audit, payment, or compliance decisions. When to Use This Skill Use this skill when preparing or reviewing SAP finance tabular data for local SAP RPT 1 OSS experiments, especially: FI AR payment default or late payment risk classification/regression. FI AP cash discount leakage or payment timing risk prediction. FI GL journal anomaly or unusual posting review prioritization. Time safe feature preparation, target leakage checks, and governance review for FI/CO CSV datasets. Local SAP RPT 1 OSS setup planning where Hugging Face access, Python 3.11, and GPU limits need to be explained before execution. Do not use this skill as a hosted SAP RPT API integration guide, production scoring service, SAP AI Core deployment guide, or live SAP extraction workflow. Quick Start 1. Confirm the task is a local prototype using synthetic or approved masked FI/CO CSV data. 2. Read references/data governance.md before touching real finance data. 3. Choose one prediction point and one target column. Define what was known at that point in time. 4. Select the Python executable from an approved Python 3.11 environment. On Windows this might be py 3.11 or .venv\Scripts\python.exe ; on macOS/Linux this might be python3.11 or .venv/bin/python . 5. Use scripts/fico data prep.py dry run input "<file.csv " target <column to inspect schema and leakage risks. 6. Use scripts/rpt1 oss predict.py dry run input "<file.csv " target <column to review local SAP RPT 1 OSS prerequisites. 7. Add encoding <encoding or delimiter ';' when enterprise CSV exports are not UTF 8 comma delimited. 8. Run local inference only after explicit user request, Hugging Face access, license review, and an explicit output path or stdout mode. FI/CO Use Case Matrix Detailed v1 recipes live in references/fico use cases.md . Area V1 depth Typical target First reference FI AR Detailed paid late , days late , default flag Payment default / late payment FI AP Detailed discount lost , discount amount lost Cash discount leakage FI GL Detailed manual review flag , reversal flag , outlier flag Journal anomaly CO/PS/CO PA/FI Starter only Overrun, margin, cash, dispute, credit risk Use case matrix rows only Data Preparation Patterns Prefer source extracts already flattened to one row per prediction object, such as one invoice, one vendor invoice, one journal line, or one journal document. Rename technical SAP fields into semantic column names before inference; SAP RPT 1 OSS uses column names and values as part of the tabular context. Use S/4HANA starting points such as ACDOCA plus relevant master data and process extracts where available. Use ECC fallback tables only as starting points, not universal truth. Never assume table availability, field semantics, or release behavior without checking the target system. Target Leakage Rules Define the as of date before selecting features. Exclude fields created or updated after that prediction point. Common leakage examples: Clearing date, clearing document, payment run result, or final payment status when predicting before payment. Dunning, dispute, collection, write off, or audit outcomes created after the prediction point. Reversal or investigation flags created after a journal posting. Actuals, settlements, or period close adjustments posted after a forecast date. Governance Checklist Before using real FI/CO data, confirm business owner approval, legal/compliance approval, field minimization, masking of personal and bank related data, time based validation splits, documented target definitions, and human review. Use references/data governance.md as the minimum checklist. Do not use predictions as the sole basis for payment blocking, credit decisions, collections action, write offs, audit conclusions, or control sign off. For Windows, macOS, Linux, and managed non admin workstations, use references/enterprise portability.md before suggesting setup or execution commands. Prefer user writable virtual environments, approved cache locations, quoted paths, and explicit output locations. Bundled Resources references/source review 2026 06 18.md : public source/model/product page review and open upstream issue list. references/fico use cases.md : detailed FI AR, FI AP, and FI GL recipes plus starter matrix rows. references/data governance.md : minimum data governance and model card checklist. references/enterprise portability.md : Windows, macOS, Linux, non admin, proxy/cache, and CSV export guidance. scripts/fico data prep.py : read only CSV schema, target, and leakage inspection helper. scripts/rpt1 oss predict.py : opt in local inference wrapper for SAP RPT 1 OSS. assets/ .csv : synthetic FI/CO sample datasets only. Known Issues Treat upstream SAP RPT 1 OSS issues as source reviewed limitations, not fixed behavior. See references/source review 2026 06 18.md for issue numbers and titles reviewed from SAP samples/sap rpt 1 oss . Local inference can download gated model artifacts, populate local caches, require Hugging Face authentication, and require substantial memory. Commands bundled with this plugin must not run inference directly. Source and Verification Notes Sources reviewed: SAP samples sap rpt 1 oss , Hugging Face SAP/sap rpt 1 oss , and the SAP product page for SAP RPT. Verification scope is public source/model/product page review only. Live SAP tenant validation, live SAP system validation, hosted SAP RPT API validation, local inference benchmark validation, and production finance workflow validation were not performed. Product boundary: SAP RPT 1 OSS is the local open model workflow documented here. Hosted SAP RPT 1 playground is product context only and is not bundled as a client. SAP RPT 1.5 is future product context from the 2026 06 18 source review and must not be described as currently available in this skill. Related Skills sap ai core : Use for SAP AI Core deployment and runtime architecture patterns. sap cloud sdk ai : Use for SAP Cloud SDK AI integration patterns and hosted AI service usage. sap hana ml : Use for SAP HANA native machine learning workflows. sap sqlscript : Use for SQLScript based data extraction and feature preparation.

sap-rpt1