系统化 审查
- 作者仓库星标 13,134
- 作者仓库 AutoResearchClaw
Systematic Review Best Practice
Follow PRISMA-like methodology for literature search:
- Define clear inclusion/exclusion criteria BEFORE searching
- Use multiple databases (Semantic Scholar, arXiv, OpenAlex)
- Search with both broad and narrow queries
- Screen by title/abstract first, then full text
- Extract: method, dataset, metrics, key findings
- Synthesize gaps and opportunities, not just summaries
- Prioritize recent (last 2-3 years) high-citation papers
- Include at least one seminal/foundational paper per sub-topic
- 流狐分类
- 工程开发
- 作者声明 Agent
- 未找到明确声明；不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描，不代表运行安全
- 作者 / 版本 / 许可
- @aiming-lab · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 即装即用
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- 未声明
- 底层运行要求
- 未声明
- 检测到的文件与系统行为
-
- 只读
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无（仅作为资料）
档案由构建时根据 SKILL.md 与安装命令自动衍生，可能与作者实际意图存在差异。
需要注意： 未限定 allowed-tools，默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Systematic Review Best Practice
Follow PRISMA-like methodology for literature search: Define clear inclusion/exclusion criteria BEFORE searching Use multiple databases (Semantic Scholar, arXiv, OpenAlex)
## Systematic Review Best Practice
Follow PRISMA-like methodology for literature search:
1. Define clear inclusion/exclusion criteria BEFORE searching
2. Use multiple databases (Semantic Scholar, arXiv, OpenAlex)
3. Search with both broad and narrow queries
4. Screen by title/abstract first, then full text
5. Extract: method, dataset, metrics, key findings
6. Synthesize gaps and opportunities, not just summaries
7. Prioritize recent (last 2-3 years) high-citation papers
8. Include at least one seminal/foundational paper per sub-topic 证据边界与执行链路
作者原文负责流程事实；流狐只索引当前章节、要点、文件与命令。
章节 -> Systematic Review Best Practice
要点 -> 原文未标出关键词
文件/命令 -> inclusion/exclusion · title/abstract · seminal/foundational
内容 SHA-256 -> 8965f50f2953
原文结构
适用与边界
原文中的明确线索
inclusion/exclusion、title/abstract、seminal/foundational