深度研究报告生成

GitHub: 199-biotechnologies/claude-deep-research-skill | Gitea: mc-skills/199-biotechnologies--claude-deep-research-skill

中文摘要

企业级Claude Code研究引擎，支持Quick/Standard/Deep/UltraDeep四种模式，多来源并行搜索，自动验证引用，输出含完整参考文献的Markdown/HTML/PDF报告，适用于技术选型、复杂课题调研等场景。

README 原文

Deep Research Skill for Claude Code

Enterprise-grade research engine for Claude Code. Produces citation-backed reports with source credibility scoring, multi-provider search, and automated validation.

Installation

# Clone into Claude Code skills directory
git clone https://github.com/199-biotechnologies/claude-deep-research-skill.git ~/.claude/skills/deep-research

No additional dependencies required for basic usage.

Optional: search-cli (multi-provider search)

For aggregated search across Brave, Serper, Exa, Jina, and Firecrawl:

brew tap 199-biotechnologies/tap && brew install search-cli
search config set keys.brave YOUR_KEY  # configure at least one provider

Usage

deep research on the current state of quantum computing

deep research in ultradeep mode: compare PostgreSQL vs Supabase for our stack

Research Modes

Mode	Phases	Duration	Best For
Quick	3	2-5 min	Initial exploration
Standard	6	5-10 min	Most research questions
Deep	8	10-20 min	Complex topics, critical decisions
UltraDeep	8+	20-45 min	Comprehensive reports, maximum rigor

Pipeline

Scope → Plan → Retrieve (parallel search + agents) → Triangulate → Outline Refinement → Synthesize → Critique (with loop-back) → Refine → Package

Key features:

Step 0: Retrieves current date before searches (prevents stale training-data year assumptions)
Parallel retrieval: 5-10 concurrent searches + 2-3 focused sub-agents returning structured evidence objects
First Finish Search: Adaptive quality thresholds by mode
Critique loop-back: Phase 6 can return to Phase 3 with delta-queries if critical gaps found
Multi-persona red teaming: Skeptical Practitioner, Adversarial Reviewer, Implementation Engineer (Deep/UltraDeep)
Disk-persisted citations: sources.json survives context compaction and continuation agents

Output

Reports saved to ~/Documents/[Topic]_Research_[Date]/:

Markdown (primary source of truth)
HTML (McKinsey-style, auto-opened in browser)
PDF (professional print via WeasyPrint)

Reports >18K words auto-continue via recursive agent spawning with context preservation.

Quality Standards

10+ sources, 3+ per major claim
Executive summary 200-400 words
Findings 600-2,000 words each, prose-first (>=80%)
Full bibliography with URLs, no placeholders
Automated validation: validate_report.py (9 checks) + verify_citations.py (DOI/URL/hallucination detection)
Validation loop: validate → fix → retry (max 3 cycles)

Search Tools

Tool	When	Setup
WebSearch	Default, always available	None
Exa MCP	Semantic/neural search	MCP config
search-cli	Multi-provider aggregation	`brew install search-cli` + API keys

Architecture

deep-research/
├── SKILL.md                          # Skill entry point (lean, ~100 lines)
├── reference/
│   ├── methodology.md                # 8-phase pipeline details
│   ├── report-assembly.md            # Progressive generation strategy
│   ├── quality-gates.md              # Validation standards
│   ├── html-generation.md            # McKinsey HTML conversion
│   ├── continuation.md               # Auto-continuation protocol
│   └── weasyprint_guidelines.md      # PDF generation
├── templates/
│   ├── report_template.md            # Report structure template
│   └── mckinsey_report_template.html # HTML report template
├── scripts/
│   ├── validate_report.py            # 9-check structure validator
│   ├── verify_citations.py           # DOI/URL/hallucination checker
│   ├── source_evaluator.py           # Source credibility scoring
│   ├── citation_manager.py           # Citation tracking
│   ├── md_to_html.py                 # Markdown to HTML converter
│   ├── verify_html.py                # HTML verification
│   └── research_engine.py            # Core orchestration engine
└── tests/
    └── fixtures/                     # Test report fixtures

Version History

Version	Date	Changes
2.3.1	2026-03-19	Template/validator harmonization, structured evidence, critique loop-back, multi-persona red teaming
2.3	2026-03-19	Contract harmonization, search-cli integration, dynamic year detection, disk-persisted citations, validation loops
2.2	2025-11-05	Auto-continuation system for unlimited length
2.1	2025-11-05	Progressive file assembly
1.0	2025-11-04	Initial release

License

MIT - modify as needed for your workflow.

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