# io.github.Edu963/ocultar-pii

> Use this tool when you need to protect sensitive information by redacting personally identifiable information (PII) without exposing your data to external systems. It solves the problem of securing PII in local infrastructure, ensuring zero data egress. The tool takes in sensitive data as input and outputs redacted information, making it ideal for use cases requiring strict data privacy and security.

Canonical page: https://skillsregistry.net/skills/io-github-edu963-ocultar-pii  
JSON: https://api.skillsregistry.net/v1/skills/io-github-edu963-ocultar-pii

## Description

Zero-egress PII redaction for Claude. Runs locally — no data leaves your infrastructure.

## Trust

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

## Facts

- **Version:** 0.1.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-29

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Edu963%2Focultar-pii)
- **Repository:** <https://github.com/Edu963/ocultar>

## 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": "io-github-edu963-ocultar-pii"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-edu963-ocultar-pii` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-edu963-ocultar-pii/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