# InsureLink

> Use this tool when you need to establish secure and reliable service-level agreements between AI agents, leveraging insurance, reputation, and payment protocols to ensure trustworthy interactions. InsureLink solves problems of agent-to-agent collaboration, risk management, and payment assurance, enabling seamless and confident interactions. It takes in agent profiles, service terms, and payment details, outputting binding agreements with insurance and reputation guarantees.

Canonical page: https://skillsregistry.net/skills/io-github-skewing1-insurelink  
JSON: https://api.skillsregistry.net/v1/skills/io-github-skewing1-insurelink

## Description

AI agent-to-agent SLA agreements on Base with insurance, reputation, and x402 payments.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.skewing1%2Finsurelink)

## Use it

MCP endpoint published by the skill: `https://ivnmscuuljqubunqcgkh.supabase.co/functions/v1/mcp-server/mcp`

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-skewing1-insurelink"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-skewing1-insurelink` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-skewing1-insurelink/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