Agent-Skills.md

Agent Skills: Stanford STORM

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.

UncategorizedID: closedloop-technologies/awesome-deep-researchers/deep-research-stanford-storm

Repository

closedloop-technologies/awesome-deep-researchers
closedloop-technologiesLicense: MIT
71

Install this agent skill to your local

pnpm dlx add-skill https://github.com/closedloop-technologies/climbhill/tree/HEAD/.agents/skills/deep-research-stanford-storm

Skill Files

Browse the full folder contents for deep-research-stanford-storm.

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.agents/skills/deep-research-stanford-storm/SKILL.md

Skill Metadata

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