# cli-eval

Runs model evaluation suites directly from the CLI and generates scorecards. Helps catch LLM regressions before merging code.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 952 installs · ★ 81243
- Author: cheaper-inference
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/cheaper-inference/OmniRoute/tree/HEAD/skills/cli-eval/SKILL.md
- Updated: 2026-10-25
- HTML: https://affpapa.org/en/nevibecode/skills/cli-eval

## What it does

The skill teaches the assistant to operate `omniroute eval` subcommands. It creates test suites from JSONL sample files containing `input` and `expected_output` pairs. OmniRoute evaluates responses using four rubrics: `exact-match`, `contains`, `llm-judge`, and `regex`. All run records stay inside the local database.

Runs execute asynchronously. Passing `--watch` opens a live terminal dashboard, while JSON output allows piping scores to `jq` for automated CI pass/fail gates. You can also run prompts through `omniroute simulate` with reasoning effort parameters.

Execution fails unless the `omniroute` executable is installed globally via npm or available through npx.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add cheaper-inference/OmniRoute --skill cli-eval -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/cli-eval/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/cli-eval/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add cheaper-inference/OmniRoute --skill cli-eval -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/cli-eval/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add cheaper-inference/OmniRoute --skill cli-eval -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/cli-eval/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install cheaper-inference/OmniRoute cli-eval
```

2. **Manually: put the files in place**
- File: `.github/skills/cli-eval/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add cheaper-inference/OmniRoute --skill cli-eval -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/cheaper-inference/OmniRoute --path skills/cli-eval
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/cli-eval/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add cheaper-inference/OmniRoute --skill cli-eval -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/cheaper-inference/OmniRoute/tree/HEAD/skills/cli-eval/SKILL.md

## When to use it
- create evaluation suites from JSONL test samples
- compare benchmark scores across different model providers
- break CI builds when model quality drops below a score threshold
- inspect failing test cases and sample scorecards

## Example prompts
- Create a new eval suite from `samples.jsonl` using the `exact-match` rubric
- Run test suite `suite-123` against `claude-sonnet-4-6` with the live watch dashboard
- Get the scorecard and list failed cases for run `run-456`

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: f0131a565364c138.

BEGIN THIRD-PARTY FILE f0131a565364c138
````text
---
name: cli-eval
description: Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the CLI.
---
<!-- generated by src/lib/agentSkills/generator.ts; manual edits will be overwritten -->

## Overview

Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with CI workflows from the CLI.

## Quick install

```bash
npm install -g omniroute   # or: npx omniroute
omniroute --version
```

## Subcommands

### `eval`

**Example:**

```bash
omniroute eval
```

### `eval suites`

**Example:**

```bash
omniroute eval suites
```

### `eval list`

**Example:**

```bash
omniroute eval list
```

### `eval get <suiteId>`

**Example:**

```bash
omniroute eval get <suiteId>
```

### `eval create`

**Flags:**

- `--file <path>`

**Example:**

```bash
omniroute eval create
```

### `eval run <suiteId>`

**Flags:**

- `-m, --model <id>`
- `--combo <name>`
- `--concurrency <n>`
- `--tag <tag>`
- `--watch`

**Example:**

```bash
omniroute eval run <suiteId>
```

### `eval list`

**Flags:**

- `--suite <id>`
- `--status <s>`
- `--since <ts>`
- `--limit <n>`

**Example:**

```bash
omniroute eval list
```

### `eval get <runId>`

**Example:**

```bash
omniroute eval get <runId>
```

### `eval results <runId>`

**Flags:**

- `--failed`

**Example:**

```bash
omniroute eval results <runId>
```

### `eval cancel <runId>`

**Flags:**

- `--yes`

**Example:**

```bash
omniroute eval cancel <runId>
```

### `eval scorecard <runId>`

**Example:**

```bash
omniroute eval scorecard <runId>
```

### `simulate [prompt]`

**Flags:**

- `--file <path>`
- `-m, --model <id>`
- `--combo <name>`
- `--reasoning-effort <level>`
- `--thinking-budget <n>`
- `--explain`

**Example:**

```bash
omniroute simulate [prompt]
```

<!-- skill:custom-start -->
<!-- Migrated from skills/omniroute-cli-eval/SKILL.md (preserved curated content) -->

# OmniRoute — CLI Evals

Requires the `omniroute` CLI. See [CLI entry-point skill](https://raw.githubusercontent.com/diegosouzapw/OmniRoute/main/skills/cli-serve/SKILL.md) for install + global flags.

## What are evals?

Evals are automated test suites that score LLM outputs against expected answers or rubrics. OmniRoute stores suites and run results in its local database.

## Eval suites

```bash
omniroute eval suites list                       # List all eval suites
omniroute eval suites list --json                # JSON output

omniroute eval suites get <suiteId>              # Full suite definition
```

### Create a suite

```bash
omniroute eval suites create \
  --name "code-quality" \
  --rubric "exact-match" \
  --samples-file ./samples.jsonl                 # JSONL: {input, expected_output}
```

Rubric options: `exact-match`, `contains`, `llm-judge`, `regex`.

`--samples-file` format (one JSON object per line):

```jsonl
{"input": "What is 2+2?", "expected_output": "4"}
{"input": "Translate 'hello' to Spanish", "expected_output": "hola"}
```

## Run an eval

```bash
omniroute eval suites run <suiteId> \
````
END THIRD-PARTY FILE f0131a565364c138

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