# EnigmAgent

> Use this tool when you need to securely store and manage sensitive information like API keys for AI agents, without exposing them to large language models. EnigmAgent solves the problem of protecting secrets at runtime, using AES-256-GCM and Argon2id encryption, and integrates with git for version control. It takes in placeholder secrets and outputs resolved secrets, providing a secure interface for local development and deployment.

Canonical page: https://skillsregistry.net/skills/agnuxo1-enigmagent  
JSON: https://api.skillsregistry.net/v1/skills/agnuxo1-enigmagent

## Description

Local encrypted vault for AI agents. MCP server resolves {{PLACEHOLDER}} secrets at runtime so LLMs never see real API keys. AES-256-GCM + Argon2id, MIT, zero cloud. npx enigmagent-mcp

## Trust

- **Trust score (0–1):** 0.68
- **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/Agnuxo1/EnigmAgent)

## 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": "agnuxo1-enigmagent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/agnuxo1-enigmagent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/agnuxo1-enigmagent/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