# jev-decision-layer

> jev-decision-layer — qualixar-jev-decision-layer. Use this tool when you need to streamline coding decisions across multiple platforms, including Claude Code, Codex, and VS Code, and leverage its 20 tools and 36 recipes to automate tasks and improve workflow efficiency. The jev-decision-layer solves problems related to code management, integration, and optimization, and accepts git inputs to facilitate seamless version control. It provides calibrated gates for each provider, ensuring accurate and reliable outputs.

Canonical page: https://skillsregistry.net/skills/qualixar-jev-decision-layer  
JSON: https://api.skillsregistry.net/v1/skills/qualixar-jev-decision-layer

## Description

Open-source decision layer for AI agents. Typed task, tool, skill and review routing through TypeSafe Jev, with local policy gates and auditable receipts.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-11-09

## Source

- **Source listing:** [GitHub](https://github.com/qualixar/jev-decision-layer)

## 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": "qualixar-jev-decision-layer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/qualixar-jev-decision-layer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/qualixar-jev-decision-layer/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