No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by liangdabiao · Claude Skill · ★ 277
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Claude-Code-Deep-Research-main safe to install? View the security audit →
Claude Code Deep Research Agent A sophisticated multi-agent research framework that implements OpenAI's Deep Research and Google Gemini's Deep Research capabilities using Claude Code's native features. Overview This project leverages Claude Code's Skills and Commands system to conduct comprehensive, citation-backed research through: Graph of Thoughts (GoT) Framework - Intelligent research path management with graph-based reasoning 7-Phase Deep Research Process - Structured methodology for quality research Multi-Agent Architecture - Parallel research agents with specialized roles Citation Validation System - A-E source quality ratings with chain-of-verification Quick Start Prerequisites Claude Code CLI installed Active Claude Code account with API access Installation Clone this repository: The Skills and Commands are already configured in directory Basic Usage The simplest way to conduct deep research: Example: This single command will: Ask clarifying questions to refine your research needs Create a structured research plan Deploy multiple parallel research agents Synthesize findings into a comprehensive report Validate all citations Output results to directory Advanced
| Stars | 277 |
| Forks | 46 |
| Category | Claude Skill |
| Quality Score | 73.213269359355/100 |
| Last Updated | 2025-12-30 |
| Created | 2025-12-25 |
| Platforms | claude-code |
| Est. Tokens | ~161k |
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Claude-Code-Deep-Research-main is 利用claude code agent框架一步一步实现deep research!很强大很简单的skills。我一步一步介绍实现deep research,因为deep research就是agent框架第一应用,对比一下各个框架实现这个deep research,就知道哪个框架才是真厉害。. It is categorized as a Claude Skill with 277 GitHub stars.
You can find installation instructions and usage details in the Claude-Code-Deep-Research-main GitHub repository at github.com/liangdabiao/Claude-Code-Deep-Research-main. The project has 277 stars and 46 forks, indicating an active community.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: