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How to price a 100-agent run before you spend tokens with Arena Skill

Print the rounds, calls and waves for any agent count before the tournament starts.

Who it is forA user watching token spend who wants to choose the agent count for a task that matters.

The problemThe default run of 100 agents makes many sub-agent calls, and the cost is not obvious until it is running.

The outcomeA table of rounds, sub-agent calls and waves for the chosen size, so you can pick the setting on purpose.

What you need first

  • Claude Code, because the skill spawns sub-agents with the Agent tool
  • Python 3.8 or newer
  • git, to clone the repo (or copy the folder by hand)
  • Tokens to pay for the sub-agent calls, which the README says is the main cost

Steps

  1. Clone the repo and open a terminal in the folder that contains Arena Skill
  2. Run python3 skills/arena/bracket.py plan --agents 100 to see the full run (inferred, check the README)
  3. Compare with python3 skills/arena/bracket.py plan --agents 16 for the everyday setting (inferred, check the README)
  4. Pick a size and run /arena --agents N <task> in Claude Code (inferred, check the README)
  5. Keep --quick for everyday tasks and save the full run for the answer that matters

Prompt for your agent

Using the repo at https://github.com/Jakeschincariol/arena-skill, run python3 skills/arena/bracket.py plan --agents <N> and report the rounds, sub-agent calls and waves. Expected output: the bracket table that the command prints. Verify that the command writes no files before you start a real run.

Caveat. The plan command shows call counts only, and the README says the real token bill grows with the size of the task.

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