Agent-Skills.md

Agent Skills: OpenAI Deep Research

Run OpenAI deep research models through the Responses API with explicit effort, model, cost, and output controls. Use when launching citation-backed OpenAI research runs, smoke-testing OpenAI provider behavior, or capturing reproducible benchmark output.

UncategorizedID: closedloop-technologies/awesome-deep-researchers/deep-research-openai

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-openai

Skill Files

Browse the full folder contents for deep-research-openai.

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.agents/skills/deep-research-openai/SKILL.md

Skill Metadata

Name
deep-research-openai
Description
Run OpenAI deep research models through the Responses API with explicit effort, model, cost, and output controls. Use when launching citation-backed OpenAI research runs, smoke-testing OpenAI provider behavior, or capturing reproducible benchmark output.

OpenAI Deep Research

Use this skill for autonomous, citation-backed research through OpenAI's Deep Research models. Prefer o4-mini-deep-research for benchmark calls because the repo target is less than $1 per task.

Environment

op run --env-file .env.climbhill -- python .agents/skills/deep-research-openai/scripts/run_deep_research.py \
  --prompt "deepresearch the deepresearchers" \
  --model o4-mini-deep-research \
  --effort low

Required 1Password-backed variable:

  • OPENAI_API_KEY

Cost Controls

  • Use o4-mini-deep-research before o3-deep-research.
  • Use --effort low for benchmark smoke tasks.
  • Keep prompts narrow and request concise reports.
  • Save raw output, then normalize it with deep-research-okf-normalize.

Current Source Links

  • https://platform.openai.com/docs
  • https://platform.openai.com/docs/guides/deep-research