---
description: Plan or execute a replication workflow for a paper, claim, or benchmark.
args: <paper>
section: Research Workflows
topLevelCli: true
---
Design a replication plan for: $@

## Workflow

1. **Extract** — Use the `researcher` subagent to pull implementation details from the target paper and any linked code.
2. **Plan** — Determine what code, datasets, metrics, and environment are needed. Be explicit about what is verified, what is inferred, and what is still missing.
3. **Environment** — Before running anything, ask the user where to execute:
   - **Local** — run in the current working directory
   - **Virtual environment** — create an isolated venv/conda env first
   - **Docker** — run experiment code inside an isolated Docker container
   - **Cloud** — delegate to a remote Agent Computer machine via `/delegate`
   - **Plan only** — produce the replication plan without executing
4. **Execute** — If the user chose an execution environment, implement and run the replication steps there. Save notes, scripts, and results to disk in a reproducible layout.
5. **Report** — End with a `Sources` section containing paper and repository URLs.

Do not install packages, run training, or execute experiments without confirming the execution environment first.