Moltbot技能，兼具学术严谨的详尽研究
概览
大多数“深度研究”工具都是外部API的包装工具。你发送查询，收到报告，却不知道中间发生了什么。 - ✅ — 每一步都有文档记录，可重复 - ✅ — 完全运行于OpenClaw原生工具 - ✅ — 3个明确的审批检查点 - ✅ — APA引用、证据层级、置信度 - ✅ — 无API密钥，无云服务 每个主题：1. 广泛的景观搜索→分析→差距识别 2.有针对性的深度探讨→挑战假设→综合 - - - 非隐藏 - [高]、[中]、[低]、[推测] - 荟荟分析>随机对照试验>观察性>专家意见 - 流畅叙述散文（无项目符号倾泻）- APA第七版引用（每段1-2条）- 正确的段落结构：证据→主张→分析→过渡 - 执行摘要、方法论、发现、局限性、参考文献 三个必须停止的节点：1. — 在研究前明确范围 2.— 批准主题并采取方法 3.
概述（AI 翻译）
透明、严谨、自成一体的研究——不是黑箱API封装器。
为什么有这项技能存在
大多数“深度研究”工具都是外部API的包装工具。你发送查询，收到报告，却不知道中间发生了什么。
这项技能与众不同：
- ✅ 完整方法论可见 — 每一步均有文档，可复现
- ✅ 无外部依赖 — 完全运行于OpenClaw原生工具
- ✅ 用户控制 — 3个明确的批准检查点
- ✅ 学术严谨 — APA引用、证据层级、置信度
- ✅ 离线运行 — 无API密钥，无云服务
与云研究工具的比较
| 功能 | 此技能 | 云API包装器 |
|---|---|---|
| 方法论 | 完整文档 | 黑匣子 |
| 依赖 | 无 | 外部 API + 密钥 |
| 离线 | ✅是的 | ❌不 |
| 用户检查点 | 3个审批点 | 通常没有 |
| 引用格式 | APA第7版 | 差异/未说明 |
| 证据层级 | 显式（元分析→观点） | 未明确说明 |
| 输出控制 | 严格的散文，无项目符号 | 变化 |
| 可重复性 | ✅相同输入 = 相同过程 | ❓未知 |
本页由 AI 翻译，技术细节请以原文为准。
README
以下为原文 README 节选，完整内容请查看原文。
Academic Deep Research 🔬
Transparent, rigorous, self-contained research — not a black-box API wrapper.
Why This Skill Exists
Most “deep research” tools are wrappers around external APIs. You send a query, get a report, and have no idea what happened in between.
This skill is different:
- ✅ Full methodology visible — Every step documented, reproducible
- ✅ No external dependencies — Runs entirely on OpenClaw native tools
- ✅ User control — 3 explicit checkpoints for approval
- ✅ Academic rigor — APA citations, evidence hierarchy, confidence levels
- ✅ Works offline — No API keys, no cloud services
Comparison with Cloud-Based Research Tools
| Feature | This Skill | Cloud API Wrappers |
|---|---|---|
| Methodology | Fully documented | Black box |
| Dependencies | None | External API + key |
| Offline | ✅ Yes | ❌ No |
| User Checkpoints | 3 approval points | Usually none |
| Citation Format | APA 7th edition | Varies/unspecified |
| Evidence Hierarchy | Explicit (meta-analyses → opinion) | Unspecified |
| Output Control | Strict prose, no bullet points | Varies |
| Reproducibility | ✅ Same inputs = same process | ❓ Unknown |
Core Features
Mandated Research Cycles
Every theme gets minimum 2 full research cycles:
- Broad landscape search → Analysis → Gap identification
- Targeted deep dive → Challenge assumptions → Synthesis
No shortcuts. No single-pass summaries.
Evidence Standards
- Every conclusion cites multiple sources
- Contradictions must be addressed — not hidden
- Confidence annotations: [HIGH], [MEDIUM], [LOW], [SPECULATIVE]
- Evidence hierarchy: Meta-analyses > RCTs > Observational > Expert opinion
Academic Output
- Flowing narrative prose (no bullet point dumps)
- APA 7th edition citations (1-2 per paragraph)
- Proper paragraph structure: claim → evidence → analysis → transition
- Executive summary, methodology, findings, limitations, references
User Control
Three mandatory stop points:
- Initial Engagement — Clarify scope before research
- Research Planning — Approve themes and approach
- Final Report — Review completed analysis
Quick Start
/research "Comprehensive analysis of [your topic]"
Or just ask for “deep research on…” or “exhaustive analysis of…”
Research Protocol
Phase 1: Clarification
Agent asks 2-3 essential questions, confirms understanding, waits for you.
Phase 2: Planning
Agent presents:
- Major themes identified (3-5)
- Research execution plan (table format)
- Expected deliverables
You approve before execution begins.
Phase 3: Execution (Auto)
For each theme, two full cycles:
web_search(count=20) for landscape- Analysis and gap identification
web_fetchon primary sources- Synthesis and assumption challenging
- Repeat for depth
Required: Explicit analysis between every tool call showing evolution of understanding.
推荐工具
换一个关键词，或者移除筛选条件。
安装
npx skillfish add kesslerio/academic-deep-research-clawhub-skill