# io.github.edgeedgehq/coverageunlocked

> Use this tool when you need to optimize insurance denial appeals with AI-driven insights, providing win probabilities, payer intelligence, and regulatory leverage to increase success rates. It solves problems related to inefficient appeal processes and limited knowledge of payer behaviors. The tool takes in denial data and outputs strategic recommendations to inform appeal decisions.

Canonical page: https://skillsregistry.net/skills/io-github-edgeedgehq-coverageunlocked  
JSON: https://api.skillsregistry.net/v1/skills/io-github-edgeedgehq-coverageunlocked

## Description

AI-powered insurance denial appeals. Win probabilities, payer intelligence & regulatory leverage.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.edgeedgehq%2Fcoverageunlocked)
- **Repository:** <https://github.com/edgeedgehq/coverageunlocked-mcp>

## 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": "io-github-edgeedgehq-coverageunlocked"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-edgeedgehq-coverageunlocked` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-edgeedgehq-coverageunlocked/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