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How to test how often the effort judge picks the right level with Effortless

Run the bundled judge benchmark on your own Claude Code setup before trusting Auto.

Who it is forA team lead or careful developer who wants evidence that the automatic effort judge picks sensible levels for their kind of work.

The problemThe automatic judge's accuracy is only shown in the README on a fixed set of 73 cases, which may not match your work.

The outcomeThe user gets scores for each judge they have set up, measured against labelled prompts, and can compare them with fixed effort levels.

What you need first

  • Claude Code installed
  • A Claude login (the default judge runs on it, no key needed)
  • git available if you want update checks, as the README mentions

Steps

  1. Install Effortless as described in the first use case.
  2. In Claude Code, run /effortless bench to score each judge you have set up on the labelled cases.
  3. Read the table of right answers, too low and too high counts, and median time.
  4. To rerun the cost benchmark, run bash bench/agentic/run.sh from a clone of the repo, knowing it makes real API calls and costs money.

Prompt for your agent

Clone HeyCubit/effortless, run `bash bench/agentic/run.sh` and report the cost per task for each effort setting it prints. Confirm the output matches the table in bench/RESULTS.md within a reasonable margin before drawing conclusions.

Caveat. The README says the judge results come from 73 cases and that runs differ by a few points, and the cost benchmark makes paid API calls.

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