Skip to content
cccskills
FreePublished on GitHub

cli-eval

Create and run automated tests that score LLM answers against expected outputs or judging criteria. Monitor progress, inspect individual results, compare models on the same tests, and use score thresholds in CI, an automated checking workflow.

OriginalShow the original 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.

Works withOpenAI
See how to install

Good for

  • Creating tests with expected answers
  • Monitoring evaluation progress
  • Inspecting failed samples and scores
  • Comparing models on the same test suite
  • Using evaluation scores to pass or fail CI

Files included (1)

  • SKILL.md5.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

<!-- 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

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

Subcommands

eval

Example:

omniroute eval

eval suites

Example:

omniroute eval suites

eval list

Example:

omniroute eval list

eval get <suiteId>

Example:

omniroute eval get <suiteId>

eval create

Flags:

  • --file <path>

Example:

omniroute eval create

eval run <suiteId>

Flags:

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

Example:

omniroute eval run <suiteId>

eval list

Flags:

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

Example:

omniroute eval list

eval get <runId>

Example:

omniroute eval get <runId>

eval results <runId>

Flags:

  • --failed

Example:

omniroute eval results <runId>

eval cancel <runId>

Flags:

  • --yes

Example:

omniroute eval cancel <runId>

eval scorecard <runId>

Example:

omniroute eval scorecard <runId>

simulate [prompt]

Flags:

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

Example:

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 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

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

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):

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

Run an eval

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:

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

Manage runs

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

omniroute eval scorecard <runId> --output json

Response fields per sample:

{
  "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:

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

# 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
<!-- skill:custom-end -->

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

cli-a2a

FreeSummary

Use the command line to send tasks to OmniRoute's A2A server, which supports communication between agents. Inspect execution history and logs, monitor or cancel tasks, and interactively test the JSON-RPC 2.0 communication protocol.

  • Check server status and available skills
  • Invoke a skill with JSON input
  • Inspect task history and logs
diegosouzapw/OmniRoute78.2KUpdated Oct 18, 2026

cli-backup-sync

FreeSummary

Back up and restore OmniRoute data from the command line. Manage incremental snapshots, scheduled backups, encryption, and cloud synchronization, with options to compare differences and preview data transfers or imports before applying them.

  • Create a backup before restoring data
  • Schedule recurring backups
  • Compare differences before cloud synchronization
diegosouzapw/OmniRoute78.2KUpdated Oct 18, 2026

cli-batches

FreeSummary

Submit groups of AI requests as batch jobs with the OmniRoute command line. Manage input files, monitor or cancel jobs, save results and errors, and incorporate batch processing into automated build and deployment workflows.

  • Submitting AI requests from a JSONL file
  • Monitoring batch jobs and waiting for completion
  • Saving batch results and error details
diegosouzapw/OmniRoute78.2KUpdated Oct 18, 2026

cli-chat

FreeSummary

Send prompts to LLMs from a terminal, display answers as they arrive, or hold an ongoing conversation. Use files or standard input for prompts, choose models, and set system instructions through OmniRoute.

  • Sending a prompt from a terminal
  • Using file contents as a prompt
  • Displaying and saving streaming responses
diegosouzapw/OmniRoute78.2KUpdated Oct 18, 2026

cli-compression

FreeSummary

Configure prompt compression, which shortens text sent to AI models, through the OmniRoute command line. Adjust RTK filters, Caveman rules, and combined compression modes, then preview the results using real prompts.

  • Preview compression results with real prompts
  • Adjust RTK filters and Caveman rules
  • Compare combined compression modes
diegosouzapw/OmniRoute78.2KUpdated Oct 18, 2026

cli-contexts

FreeSummary

Manage OmniRoute context settings from the command line, including token budgets and RTK filters for processing context. Switch saved server connections, import or export configurations, and inspect or expire conversation sessions.

  • Adjust context token budgets and filtering rules
  • Switch between saved server connections
  • Import or export connection settings as JSON
diegosouzapw/OmniRoute78.2KUpdated Oct 18, 2026

See all skills by diegosouzapw

Report a problem with this skill