deep-research-gpt-researcher

Run GPT Researcher as a self-hosted open-source deep research framework using an LLM plus a search provider.

IndexedMIT★ 7

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/closedloop-technologies-deep-research-gpt-researcher

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: documents, ml, research, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found
Runs as: Python package

Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/deep-research-gpt-researcher

What's inside

Skill 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.
License: MIT
Instructions: 29 lines in SKILL.md · view on GitHub

Before installing

Ships executable scripts

Files (5)

SKILL.md
requirements.txt
run_research.py · scripts/
__init__.py · tests/
test_run_research.py · tests/

SKILL.md (first lines)

# GPT Researcher

Use this skill when you want a self-hosted report-writing agent rather than a
single commercial deep research API.

## Environment

```bash
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

- https://github.com/assafelovic/gpt-researcher

From closedloop-technologies/climbhill, MIT.

Signals

Stars: 7
Forks: 0
Open issues: 1
Last commit (this folder): Jul 8, 2026 (3 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/closedloop-technologies/climbhill
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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Cite this page

deep-research-gpt-researcher skill. Agent Mart. https://agentmart.dev/skills/closedloop-technologies-deep-research-gpt-researcher (last updated 2026-10-24)