Test finance predictions on local SAP exports.
What it does
Guides local SAP finance CSV prediction experiments with leakage checks, governance review, and opt-in inference.
When to use it
Use when preparing or reviewing SAP finance tabular data for local prediction experiments, including payment risk, discount leakage, and journal anomaly review.
How to use it
Give it synthetic or approved masked finance CSV data; it checks readiness and, when explicitly requested, produces local predictions in a chosen file or on stdout.
What you provide
- Your files
Uses
What you need · 4
Use an approved Python 3.11 environment; the inference wrapper rejects other Python versions for actual inference.
Actual local inference requires pandas, installed manually in the Python 3.11 environment.
Access · 4
This skill
Hugging Face
Downloads model checkpoints
local model caches
Populates local model caches