| name | deep-research-gpt-researcher |
| description | Run GPT Researcher as a self-hosted open-source deep research framework using an LLM plus a search provider. Use when a task needs inspectable local report generation, configurable retrievers, or comparison against commercial research APIs. |
GPT Researcher
Use this skill when you want a self-hosted report-writing agent rather than a
single commercial deep research API.
Environment
op run --env-file .env.climbhill -- python .agents/skills/deep-research-gpt-researcher/scripts/run_research.py \
--query "AI for Science agents: current systems and evidence" \
--report-type research_report
Common 1Password-backed variables:
OPENAI_API_KEY or another configured LLM key
TAVILY_API_KEY or another configured search key
Cost Controls
- Use
research_report before deep_research_report.
- Configure a cheaper model for planner/retriever steps.
- Keep source count and max sections bounded in framework configuration.
Source Link