# masquerade

> masquerade — postralai-masquerade. Use this tool when you need to protect sensitive information and maintain privacy while interacting with Large Language Models (LLMs). The masquerade tool acts as a Privacy Firewall, solving problems related to data security and confidentiality by controlling and filtering inputs and outputs. It integrates with git, allowing for secure and private collaboration on projects that involve LLMs.

Canonical page: https://skillsregistry.net/skills/postralai-masquerade  
JSON: https://api.skillsregistry.net/v1/skills/postralai-masquerade

## Description

The Privacy Firewall for LLMs

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/postralai/masquerade)

## 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": "postralai-masquerade"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/postralai-masquerade` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/postralai-masquerade/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