datanalysis-credit-risk
datanalysis credit risk
What it does
- DATAPATH: Data file path (best are parquet format)
- DATECOL: Date column name
- YCOL: Label column name
- ORGCOL: Organization column name
- KEYCOLS: Primary key column name list
- OOSORGS: Out-of-sample organization list
- minymbadsample: Minimum bad sample count per month (default 10)
Requirements & configuration
Configuration: DATA_PATHDATE_COLY_COLORG_COLKEY_COLSOOS_ORGS
Derived from the skill's own SKILL.md documentation · extracted 2026-07-23
datanalysis-credit-risk FAQ
What does the datanalysis-credit-risk skill do?
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing. DATAPATH: Data file path (best are parquet format) DATECOL: Date column name
What does datanalysis-credit-risk require?
Configuration keys: DATA_PATH, DATE_COL, Y_COL, ORG_COL, KEY_COLS, OOS_ORGS.
How do I install datanalysis-credit-risk?
Run: npx -y skills add https://github.com/github/awesome-copilot --skill datanalysis-credit-risk --agent claude-code — the source lives at github.com/github/awesome-copilot.
Maintain datanalysis-credit-risk?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/skills/github-awesome-copilot-datanalysis-credit-risk?ref=badge) npx agentictools info skills/github-awesome-copilot-datanalysis-credit-risk The second line is the CLI lookup for this page — handy in READMEs and docs.
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