# risk-feature-toolkit

> risk-feature-toolkit — jialuxu-risk-feature-toolkit. Use this tool when you need to analyze customer-level data for risk assessment and feature mining, solving problems such as credit scoring and customer segmentation through adaptive binning, logistic regression, and decision-tree rule mining. It takes in wide tables of synthetic or public customer data and outputs Word reports and LLM indicators. Utilize this toolkit in contexts where data-driven risk evaluation and feature identification are crucial, such as finance and banking applications.

Canonical page: https://skillsregistry.net/skills/jialuxu-risk-feature-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/jialuxu-risk-feature-toolkit

## Description

Risk-feature mining toolkit for customer-level wide tables: adaptive-binning IV/WOE, segment logistic regression, decision-tree rule mining, customer trigger scanning and Word reports, plus an LLM indicator agent and MCP server. Synthetic/public data only.风险特征挖掘流水线

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/JialuXu/risk-feature-toolkit)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jialuxu-risk-feature-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jialuxu-risk-feature-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jialuxu-risk-feature-toolkit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
