Token导航 LogoToken导航TokenDH.com
研究检索external-servicegithub未标认证来源可访问许可证需确认审计提醒

exa-unified-research统一研究

Agent Skill

exa-unified-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

240

周安装

10

GitHub Stars

5

下载量

80
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:exa-unified-research(统一研究)
来源仓库:https://github.com/nangongwentian-fe/agent-skills
仓库路径:skills/exa-unified-research
安装命令:
npx skills add https://github.com/nangongwentian-fe/agent-skills --skill exa-unified-research
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/nangongwentian-fe/agent-skills --skill exa-unified-research

简介

exa-unified-research 实现多维度研究资源的统一检索路由,覆盖代码、论文与市场信息。

  • 适用于复合型研究任务,如技术趋势分析或竞品调研。
  • 按请求类型动态加载对应参考文件,合并结果后输出结构化摘要。
  • 使用前需明确研究目标所属领域(如学术、财务或社交舆情)。
  • 建议结合人工复核确保跨源信息的准确性与时效性。

SKILL.md

Exa Unified Research

Progressive Disclosure Router

Read only the minimum required reference files:

  • Code examples / API docs / debugging: references/code-search.md
  • Company and market research: references/company-research.md
  • People and profile research: references/people-research.md
  • SEC/earnings/filings: references/financial-report-search.md
  • Academic papers: references/research-paper-search.md
  • Blogs/portfolios: references/personal-site-search.md
  • Social media discussion & X/Twitter sentiment: references/social-discussion.md

For mixed requests, load only the relevant subset and merge results at the end.

Tool Restriction

Primary tools:

  • web_search_exa — general web search (includes code search)
  • web_search_advanced_exa — advanced search with category/domain/date filters

Supplement (when search results need deeper reading):

  • web_fetch_exa — fetch full content from specific URLs found in search results

Do not use other Exa tools unless the user explicitly overrides this skill policy.

Deprecated Tool Remapping

The following tools are deprecated — use the remapping instead:

Deprecated→ Use
get_code_context_exaweb_search_exa
company_research_exaweb_search_advanced_exa with category: "company"
people_search_exa / linkedin_search_exaweb_search_advanced_exa with category: "people"
crawling_exaweb_fetch_exa
deep_search_exaweb_search_advanced_exa with type: "deep"
deep_researcher_start/checkExa Research API (not an MCP tool)

Parameter Changes

Old→ New
livecrawllivecrawlTimeout (milliseconds) or maxAgeHours
tokensNumremoved — use numResults and textMaxCharacters instead

Fallback Strategy

When a search returns insufficient results:

  1. Category not supported by MCP: Some categories in the reference files (notably tweet) are not valid in the current Exa MCP tool. The reference files provide the correct fallback parameters.
  2. Insufficient results: Try removing restrictive filters (category, date, domains) or use type: "deep" for deeper semantic search.
  3. Wrong result types: If domain filtering returns articles about tweets rather than the tweets themselves, widen to no-domain-filter and note the gap.
  4. Content too shallow: Use web_fetch_exa to read the top 2-3 most relevant URLs in full, then synthesize.

Always document fallback attempts and resulting coverage gaps in your output notes.

Global Token Isolation

Avoid large raw Exa outputs in main context. Use task/sub-agent delegation when available:

  • Run Exa calls inside sub-task
  • Deduplicate and normalize before returning
  • Return only distilled output to main context

If sub-agent is unavailable, run narrow iterative queries and summarize aggressively.

Global Query Strategy

  • Include explicit domain terms, entities, versions, and constraints in query
  • Use 2-3 query variations for recall-sensitive tasks
  • Merge and deduplicate by canonical URL/entity key
  • Tune numResults by user intent instead of hardcoding:

- "a few": 10-20 - "comprehensive": 50-100 - explicit number: follow user request

Default Output Contract

For every research task, return all four sections:

## Tools Used
| # | Tool | Parameters | Purpose |
|---|------|-----------|---------|
| 1 | ... | ... | ... |

## Structured Results
(Use a table or compact JSON — pick whichever is clearest for the data type.
 Group by category when mixing academic, news, social, etc.)

## Source URLs with Relevance
| URL | One-Line Relevance |
|-----|-------------------|
| ... | ... |

## Notes: Uncertainty, Conflicts & Coverage Gaps
- List any data conflicts between sources
- Flag data that may be stale or unverifiable
- Document search limitations (e.g., "tweet category unavailable, used news fallback")
- Suggest what a user could do to fill remaining gaps

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.23%
按下载量换算27

Claude

31.46%
按下载量换算25

Cursor

20%
按下载量换算16

Gemini CLI

9.03%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills