# RiskProbe Agent

> RiskProbe Agent — lishuo-duke-riskprobe-agent. Use this tool when you need to analyze credit risk and identify potential threats while maintaining data privacy. The RiskProbe Agent enables explainable rule discovery, statistical validation, and root-cause diagnosis on local Parquet data, solving problems related to credit risk assessment and model validation. It provides actionable insights as output, taking in user-approved Parquet data as input, making it ideal for use cases requiring robust credit risk analysis and model monitoring.

Canonical page: https://skillsregistry.net/skills/lishuo-duke-riskprobe-agent  
JSON: https://api.skillsregistry.net/v1/skills/lishuo-duke-riskprobe-agent

## Description

Local-first MCP server for credit risk analysis. It enables explainable rule discovery, statistical validation, PSI drift monitoring, and root-cause diagnosis on user-approved Parquet data while preserving privacy.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oj7zgy97yh)
- **Repository:** <https://github.com/LiShuo-Duke/riskprobe-agent>

## 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": "lishuo-duke-riskprobe-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lishuo-duke-riskprobe-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lishuo-duke-riskprobe-agent/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