# net.agentutil/think-mcp

> Use this tool when you need to perform intent security pre-flight checks for autonomous AI agents, solving problems related to secure decision-making and action validation. It takes in agent intentions and system parameters as inputs and outputs security clearance and risk assessments. Ideal for use in high-stakes autonomous environments where secure agent operation is critical.

Canonical page: https://skillsregistry.net/skills/net-agentutil-think-mcp  
JSON: https://api.skillsregistry.net/v1/skills/net-agentutil-think-mcp

## Description

Intent security pre-flight checks for autonomous AI agents.

## 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:** ai-ml
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/net.agentutil%2Fthink-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": "net-agentutil-think-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/net-agentutil-think-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/net-agentutil-think-mcp/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