cheaper-inference/omniroute/cli-eval

Name: cli-eval
Author: cheaper-inference

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

Install

npx vskill@latest install cheaper-inference/omniroute/cli-eval

SKILL.md

The same SKILL.md was published earlier as gabrielmoreira/agent-skills-mirror/cli-eval.

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]

OmniRoute — CLI Evals

Requires the omniroute CLI. See CLI entry-point skill 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> \
  --model claude-sonnet-4-6                      # Run suite against a specific model
 
omniroute eval suites run <suiteId> \
  --model gpt-4o \
  --watch                                        # Live TUI progress (EvalWatch)

The run is asynchronous. Use --watch for a live terminal dashboard or poll manually:

bash

RUN_ID=$(omniroute eval suites run <suiteId> --model claude-sonnet-4-6 --output json | jq -r '.id')
omniroute eval get $RUN_ID

Manage runs

bash

omniroute eval list                              # List all eval runs
omniroute eval list --json
 
omniroute eval get <runId>                       # Run details (status, model, score)
omniroute eval results <runId>                   # Per-sample results
omniroute eval scorecard <runId>                 # Full scorecard with pass/fail per sample
omniroute eval cancel <runId>                    # Cancel a running eval

Scorecard output

bash

omniroute eval scorecard <runId> --output json

Response fields per sample:

json

{
  "id": "sample-1",
  "score": 0.95,
  "passed": true,
  "input": "What is 2+2?",
  "output": "4",
  "expected": "4"
}

Comparing models

Run the same suite against multiple models and compare:

bash

for MODEL in claude-sonnet-4-6 gpt-4o gemini-2.0-flash; do
  omniroute eval suites run $SUITE_ID --model $MODEL --output json | jq '{model: .model, score: .score}'
done

CI integration

bash

# Run and fail CI if score drops below threshold
SCORE=$(omniroute eval suites run $SUITE_ID --model claude-sonnet-4-6 --output json | jq -r '.score')
python3 -c "import sys; score=float('$SCORE'); sys.exit(0 if score >= 0.90 else 1)"

Errors

suites create fails with invalid rubric → use one of: exact-match, contains, llm-judge, regex
suites run returns model not found → verify model ID with omniroute models --search <name>
eval get shows status: failed → check omniroute logs --search eval for error details
scorecard returns empty results → the run may still be running; poll omniroute eval get <runId> until status is completed

Security

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Model reviewPassed

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Source

SKILL.md in the repositoryCheckingskills/cli-eval/SKILL.md

Popularity

Repository stars: 79,627
Repository forks: 11,585
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