# fraud-detection-risk-status

> fraud-detection-risk-status — ankitanaik13-fraud-detection-pipeline. Use this tool when you need to assess the risk of fraudulent activity in user accounts, as it provides risk scores, flagged transaction history, and explanatory insights to inform decision-making. It solves problems related to account security, transaction monitoring, and risk assessment, helping to prevent financial losses and protect user assets. The tool accepts account identifiers as input and returns a comprehensive risk status report, making it ideal for use cases involving real-time transaction monitoring and account verification.

Canonical page: https://skillsregistry.net/skills/ankitanaik13-fraud-detection-pipeline  
JSON: https://api.skillsregistry.net/v1/skills/ankitanaik13-fraud-detection-pipeline

## Description

Exposes account risk status from a fraud detection pipeline, returning risk scores, flagged transaction history, and LLM-generated explanations via the get_account_risk_status tool.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/naioopqn7e)
- **Repository:** <https://github.com/ankitanaik13/fraud-detection-pipeline>

## 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": "ankitanaik13-fraud-detection-pipeline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ankitanaik13-fraud-detection-pipeline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ankitanaik13-fraud-detection-pipeline/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
