# FeedOracle Stablecoin Risk

> Use this tool when you need to assess the risk of stablecoins in your portfolio or DeFi investments, as it evaluates tokens based on factors like peg deviation, liquidity, and regulatory exposure. It provides a 7-signal scoring framework and returns composite risk scores with verdicts of SAFE, CAUTION, or AVOID. This tool is ideal for portfolio risk assessment and due diligence in the DeFi space, helping you make informed investment decisions.

Canonical page: https://skillsregistry.net/skills/feedoracle-stablecoin-risk  
JSON: https://api.skillsregistry.net/v1/skills/feedoracle-stablecoin-risk

## Description

Provides stablecoin risk analysis using a 7-signal scoring framework. Evaluates 28+ tokens across peg deviation, liquidity depth, reserve transparency, and regulatory exposure. Returns composite risk scores with SAFE, CAUTION, or AVOID verdicts for portfolio risk assessment and DeFi due diligence.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/feedoracle-stablecoin-risk)
- **Repository:** <https://github.com/feedoracle/-feedoracle-mcp-risk>

## 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": "feedoracle-stablecoin-risk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/feedoracle-stablecoin-risk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/feedoracle-stablecoin-risk/pull`

---
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