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How to set up an experiment with the bundled agent skill template with Ant Omni Evo

Use the skills/ template so a coding agent interviews you and drives the experiment setup.

Who it is forA team that wants a coding agent to handle the setup of an Ant Omni Evo experiment and to triage failures, starting from an existing example skill.

The problemSetting up components, the entry script, and the launch, then diagnosing failures, takes repeated manual work for each new scenario.

The outcomeA launched experiment with the entry script written by the agent, plus a list of triaged failures checked against the pitfall log.

What you need first

  • A Python environment (the repo language is Python)
  • A system that can run on one eval instance and produce output
  • An Evaluator that scores each output from 0 to 1
  • Train and validation data that define what good looks like
  • Starting tunable artifacts as a directory of files
  • A coding-agent Proposer to make the edits (the README says the proposer must be agents)

Steps

  1. Open the skills folder in the repo and read the eddy-antomnievo-experiment skill as a template.
  2. Give that skill to your coding agent so it can interview you for the repo, dataset and metric.
  3. Let the agent pick components, write the entry script, and launch the run.
  4. Check the agent's failure triage against the built-in pitfall log.
  5. Adapt the skill for your own scenario by distilling your best practices into a new skill.

Prompt for your agent

Using the AntOmniEvo repo (ant-research/AntOmniEvo), hand its skills/eddy-antomnievo-experiment skill to the coding agent and set up an experiment for <target-repo> with dataset <dataset> and metric <metric>. Expected output: a written entry script and a launched run. Verify that the agent asked for the repo, dataset and metric before writing any files.

Caveat. The bundled skill's content is in Chinese, as the README notes, so an English-speaking team may need to read it with translation help.

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