# docker

> docker — decionis-docker. Use this tool when you need to govern and track consequential AI agent actions in a containerized environment. Docker provides a framework for implementing deterministic policies, requiring human approval, and generating signed Decision Dossiers for auditing and compliance. Ideal for use cases where transparency and accountability are crucial, such as in high-stakes decision-making or regulated industries.

Canonical page: https://skillsregistry.net/skills/decionis-docker  
JSON: https://api.skillsregistry.net/v1/skills/decionis-docker

## Description

Govern consequential AI agent actions in Docker with deterministic policy, human approval, and signed Decision Dossiers.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/decionis/docker)

## 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": "decionis-docker"
    }
  }
}
```

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