| 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:
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