scientist-runtime-init

name	scientist-runtime-init
description	Use when the user asks to '检查环境', '能不能跑 AI Scientist', 'runtime check', '初始化 AI Scientist 环境', or wants the ai-scientist MCP to validate Python / CUDA / LaTeX / poppler / runtime prerequisites. Routes through the `ai-scientist` MCP `validate_runtime`. Do NOT use as a substitute for actually running an experiment.
version	0.2.0

scientist-runtime-init

Validate the scientist-support AI Scientist runtime preconditions in the current workspace via the ai-scientist MCP.

Goal

Confirm the following before launching any long experiment:

• Runtime root directory exists
• Python is available
• pdflatex, bibtex, pdftotext, chktex are available
• torch.cuda.is_available() is true
• The current platform is suitable for local experiments and LaTeX compilation

Preferred method

For a full check, use the ai-scientist MCP validate_runtime tool.

This skill organizes the check steps and the output format; it does NOT depend on any in-skill runner or alternative script entry point.

If the MCP is unavailable, fall back to terminal checks on the same conditions, keeping the same output structure.

Output requirements

Summarize in three columns: Ready / Missing / Risk:

• Ready: satisfied items
• Missing: missing items
• Risk: e.g. Windows platform, no GPU, no LaTeX

End with a next-step recommendation:

• Can continue with ideation
• Can continue with local experiments, plotting support, or paper compilation
• Must fix the environment first

Forbidden

• NEVER call any in-skill runner or script entry point.
• NEVER treat API-key or model-SDK availability as a runtime-init check item.