# agent-airlock

> agent-airlock — sattyamjjain-agent-airlock. Use this tool when you need to secure AI agent interactions with robust validation, sanitization, and access control. The agent-airlock tool solves problems related to type safety, sensitive data exposure, and unauthorized access by enforcing RBAC, PII masking, and sandbox isolation. It integrates with popular AI frameworks like LangChain and OpenAI Agents SDK, accepting tool calls and configuration inputs to produce secure and tracked outputs.

Canonical page: https://skillsregistry.net/skills/sattyamjjain-agent-airlock  
JSON: https://api.skillsregistry.net/v1/skills/sattyamjjain-agent-airlock

## Description

A type-checker and contract layer for AI agent tool calls, deny-by-default, in-process, Pydantic-only. Strict argument validation, ghost-argument stripping, and self-healing retries for MCP servers and agent frameworks.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sattyamjjain/agent-airlock)

## 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": "sattyamjjain-agent-airlock"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sattyamjjain-agent-airlock` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sattyamjjain-agent-airlock/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