Workflow

Extract — Use the researcher subagent to pull implementation details from the target paper and any linked code. If CHANGELOG.md exists, read the most recent relevant entries before planning or resuming.
Plan — Determine what code, datasets, metrics, and environment are needed. Be explicit about what is verified, what is inferred, what is still missing, and which checks or test oracles will be used to decide whether the replication succeeded.
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
- Modal — run on Modal's serverless GPU infrastructure. Write a Modal-decorated Python script and execute with modal run <script.py>. Best for burst GPU jobs that don't need persistent state. Requires modal CLI (pip install modal && modal setup).

Design a replication plan for: $@

Extract — Use the researcher subagent to pull implementation details from the target paper and any linked code. If CHANGELOG.md exists, read the most recent relevant entries before planning or resuming.
Plan — Determine what code, datasets, metrics, and environment are needed. Be explicit about what is verified, what is inferred, what is still missing, and which checks or test oracles will be used to decide whether the replication succeeded.
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
- Modal — run on Modal's serverless GPU infrastructure. Write a Modal-decorated Python script and execute with modal run <script.py>. Best for burst GPU jobs that don't need persistent state. Requires modal CLI (pip install modal && modal setup).

Replication