# axiom

> axiom — dragoscv-axiom. Use this tool when you need to manage transactional writes for coding agents, solving problems related to canonicalization, validation, and version control. It takes in plans and manifests as inputs, applying a two-phase commit process with hash-gated checks, and outputs validated and versioned code. Ideal for use cases involving git-based workflows, MCP servers, and automated deployment pipelines.

Canonical page: https://skillsregistry.net/skills/dragoscv-axiom  
JSON: https://api.skillsregistry.net/v1/skills/dragoscv-axiom

## Description

The transactional write gate for coding agents: Plan -> canonical Manifest -> set-level checks -> hash-gated two-phase apply. MCP server, CLI, PreToolUse hook, GitHub Action.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## 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/dragoscv/axiom)

## 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": "dragoscv-axiom"
    }
  }
}
```

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