deep-research-stanford-storm

name	deep-research-stanford-storm
description	Run Stanford STORM for perspective-driven, article-style deep research reports with retriever-backed citations. Use when a task needs Wikipedia-like synthesis, outline-driven research, or comparison against heavier open-source research frameworks.

Stanford STORM

Use this skill for Wikipedia-style article generation and perspective-driven research. STORM is usually slower and heavier than API search tools, so reserve it for article synthesis benchmarks.

Environment

op run --env-file .env.climbhill -- python .agents/skills/deep-research-stanford-storm/scripts/run_storm.py \
  --topic "AI for Science research agents" \
  --rm-name you \
  --fast-model gpt-4o-mini \
  --strong-model gpt-4o-mini

Common 1Password-backed variables:

• OPENAI_API_KEY or another LiteLLM-compatible model key
• BING_SEARCH_API_KEY or YDC_API_KEY

Cost Controls

• Use the same economical model for fast and strong model settings in smoke tests.
• Prefer narrow topics.
• Watch intermediate output volume because STORM can generate many files.

Source Link

• https://github.com/stanford-oval/storm