# agent-access-control

> Use this tool when you need to manage and restrict access to AI agents for external users, solving problems of unauthorized data exposure and malicious interactions. It provides tiered access control, allowing you to set specific permissions and boundaries for strangers interacting with your AI agents. With customizable input parameters and output restrictions, this tool ensures secure and controlled interactions between external users and AI agents.

Canonical page: https://skillsregistry.net/skills/bowen31337-agent-access-control  
JSON: https://api.skillsregistry.net/v1/skills/bowen31337-agent-access-control

## Description

Tiered stranger access control for AI agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-17

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/bowen31337-agent-access-control)

## 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": "bowen31337-agent-access-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bowen31337-agent-access-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bowen31337-agent-access-control/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