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cheaper-inferencecheaper-inference/OmniRoute/skills/cli-eval/SKILL.md

cli-eval

Skill83k starsChanged 10 days agoMITView on GitHub

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

  • Installs packages

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Create and run evaluation suites, watch live benchmark progress, view scorecards, compare model performance, and integrate eval runs with …

    line 9
  2. Distinctive:

    Run the same suite against multiple models and compare:

    line 241

≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md
<!-- 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 -->

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Trending

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Aug 30: 0 new projectsWeek of Sep 6: 0 new projectsWeek of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projects
Aug 2026Sep 2026Oct 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Who's talking about cheaper-inference/OmniRoute

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Talked about on YouTube, GitHub and the web (35 times).

On YouTube · 13

8 more on YouTube

On GitHub · 11

6 more on GitHub

On the web · 11

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