# jev-cli

> jev-cli — shaharia-lab-jev-cli. Use this tool when you need to analyze text and receive calibrated probabilities for yes/no, multiple-choice, and rubric questions. It solves problems related to text-based inquiry and decision-making, providing outputs in various formats such as exit codes, JSON, and MCP tools. Ideal for use in shells, CI, scripts, and AI agents, particularly when integrating with git.

Canonical page: https://skillsregistry.net/skills/shaharia-lab-jev-cli  
JSON: https://api.skillsregistry.net/v1/skills/shaharia-lab-jev-cli

## Description

Command-line tool for TypeSafe AI's Jev model. Ask yes/no, multiple-choice and rubric questions about any text and get calibrated probabilities back. Answers become exit codes for shells and CI, JSON for scripts, and MCP tools for AI agents.

## 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:** Apache-2.0
- **Updated:** 2026-09-27

## Source

- **Source listing:** [GitHub](https://github.com/shaharia-lab/jev-cli)

## 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": "shaharia-lab-jev-cli"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shaharia-lab-jev-cli` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shaharia-lab-jev-cli/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