# encrypted-docs

> encrypted-docs — vijaykrishnavanshi-encrypted-docs. Use this tool when you need to securely collaborate on sensitive information with agents and humans. It provides end-to-end encryption for .md documents, solving problems of data breaches and unauthorized access. The tool accepts markdown documents as input and outputs encrypted files, ideal for use cases requiring confidential information sharing.

Canonical page: https://skillsregistry.net/skills/vijaykrishnavanshi-encrypted-docs  
JSON: https://api.skillsregistry.net/v1/skills/vijaykrishnavanshi-encrypted-docs

## Description

End-to-end encrypted .md documents for agents & humans to collaborate.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-09-26

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/vijaykrishnavanshi-encrypted-docs)

## 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": "vijaykrishnavanshi-encrypted-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vijaykrishnavanshi-encrypted-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vijaykrishnavanshi-encrypted-docs/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