deep-research

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---
name: deep-research
description: |
  Generate format-controlled research reports with evidence tracking, citations, source governance, and multi-pass synthesis.
  This skill should be used when users request a research report, literature review, market or industry analysis,
  competitive landscape, policy or technical brief. Triggers: "帮我调研一下", "深度研究", "综述报告", "深入分析",
  "research this topic", "write a report on", "survey the literature on", "competitive analysis of",
  "技术选型分析", "竞品研究", "政策分析", "行业报告".
  V6 adds: source-type governance, AS_OF freshness checks, mandatory counter-review, and citation registry. V6.1 adds: source accessibility (circular verification forbidden, exclusive advantage encouraged).
---

# Deep Research

Create high-fidelity research reports with strict format control, evidence mapping, source governance, and multi-pass synthesis.

## Architecture: Lead Agent + Subagents

```
Lead Agent (coordinator — minimizes raw search context)
  |
  P0: Environment + source policy setup
  |
  P1: Research Task Board (roles, queries, parallel groups)
  |
  Dispatch ──→ Subagent A ──→ writes task-a.md ──┐
           ──→ Subagent B ──→ writes task-b.md ──┤ (parallel)
           ──→ Subagent C ──→ writes task-c.md ──┘
  |                                               |
  |     research-notes/  <────────────────────────┘
  |
  P2: Build citation registry with source_type + as_of + authority
  P3: Evidence-mapped outline with counter-claim flags
  P4: Draft from notes (never from raw search results)
  P5: Counter-review (claims, confidence, alternatives)
  P6: Verify (every [n] in registry, traceability check)
  P7: Polish → final report with confidence markers
```

**Context efficiency:** Subagents' raw search results stay in their context and are discarded. Lead agent sees only distilled notes (~60-70% context reduction).

## Mode Selection

Determine the research mode before starting:

| Dimension | Options |
|-----------|---------|
| **Topic Mode** | Enterprise Research (company/corporation) OR General Research (industry/policy/tech) |
| **Depth Mode** | Standard (5-6 tasks, 3000-8000 words) OR Lightweight (3-4 tasks, 2000-4000 words) |

- **Enterprise Research Mode**: Six-dimension data collection with structured analysis frameworks (SWOT, risk matrix, competitive barrier quantification)
- **General Research Mode**: Standard P0-P7 research pipeline with source governance
- **Depth Selection**: Lightweight for single entity/concept < 30 words; Standard for multi-entity comparison or "深入"/"comprehensive" requests

## Source Governance (V6)

### Source Accessibility Classification

**CRITICAL RULE**: Every source must be classified by accessibility:

| Accessibility | Definition | Examples | Usage Rule |
|--------------|------------|----------|------------|
| `public` | Available to any external researcher without authentication | Public websites, news articles, WHOIS (without privacy), academic papers | ✅ Always allowed |
| `semi-public` | Requires registration or limited access | LinkedIn profiles, Crunchbase basic, industry reports (free tier) | ✅ Allowed with disclosure |
| `exclusive-user-provided` | User's paid subscriptions, private APIs, proprietary databases | Crunchbase Pro, PitchBook, private data feeds, internal databases | ✅ **ALLOWED** for third-party research |
| `private-user-owned` | User's own accounts when researching themselves | User's registrar for user's own company, user's bank for user's own finances | ❌ **FORBIDDEN** - circular verification |

**⚠️ CIRCULAR VERIFICATION BAN**: You must NOT:
- Use user's private data to "discover" what they already know about themselves
- Research user's own company by accessing user's private accounts
- Present user's private knowledge as "research findings"

**✅ EXCLUSIVE INFORMATION ADVANTAGE**: You SHOULD:
- Use user's Crunchbase Pro to research competitors
- Use user's proprietary databases for market research
- Use user's private APIs for investment ana