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Agent Skill · 研究检索

exa-search-rust(EXA 搜索 Rust)

exa-search-rust 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

exa-search-rust 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 8,588。

总安装 16,017周安装 681GitHub Stars 公开资料未说明下载 5,611核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.3

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-search-rust(EXA 搜索 Rust)
来源仓库:https://github.com/prompt-surfer/exa-search-rust
安装命令:
openclaw skills install exa-search-rust
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install exa-search-rust

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

exa-search-rust 用于查找、检索和筛选相关信息,适合快速定位内容。适用于基于关键词或任务场景的信息搜索与筛选需求。通过 clawhub 安装,需结合来源仓库和 README 核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网或命令执行。通过 Exa AI 搜索引擎进行神经网络搜索与相似页面发现。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install exa-search-rust;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

exa-search-rust 怎么安装?

在终端执行 openclaw skills install exa-search-rust。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

exa-search-rust 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

exa-search-rust 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

exa-search-rust 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

exa-search-rust 用的人多吗?

公开数据是累计安装 16,017 次,近一周安装 681 次,下载 5,611 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

exa-search-rust 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
exa-search-rust

EXA 搜索 Rust · 本页

16,017—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
exa-search
description
Neural web search, similar-page discovery, and URL content fetching via the Exa AI search engine. USE WHEN: user asks to search the web, find articles/repos/papers on a topic, look up recent news, find pages similar to a URL, or fetch page contents for a known URL. NOT FOR: fetching tweets (use fxtwitter), downloading videos (use yt-dlp), scraping JS-heavy or anti-bot sites (use scrapling), querying APIs directly, or searching local files/repos (use rg/find).
homepage
https://github.com/Prompt-Surfer/exa-search-rust
metadata
{"openclaw":{"emoji":"🔍","requires":{"env":["EXA_API_KEY"],"bins":["bash","cargo"]},"primaryEnv":"EXA_API_KEY","install":[{"id":"build","kind":"script","label":"Build Rust binary","run":"bash install.sh"}]}}

exa-search skill

Use this skill to search the web, find similar pages, or fetch page contents via the Exa AI search engine — fast, neural, and certificate-aware.

The skill invokes a native Rust binary (bin/exa-search) via Bash. Run install.sh once to build it.


When to Use / When NOT to Use

✅ USE when:

  • Searching the web for articles, documentation, repos, papers, tools, people, companies
  • Finding recent news or announcements (use livecrawl: "fallback" or "always" for recency)
  • Fetching full text of a known URL without browser automation
  • Finding pages similar to a reference URL (competitor analysis, alternative tools)
  • Any web lookup that isn't a specific tweet or video

❌ NOT FOR:

  • Fetching tweets/X posts → use fxtwitter skill (Exa can't fetch tweet URLs)
  • Downloading video/audio → use yt-dlp
  • Scraping dynamic or Cloudflare-protected pages → use scrapling
  • Local file/code search → use rg, find, or grep
  • Querying structured APIs (GitHub, weather, etc.) → use their dedicated skills
  • When the query is already a direct URL with known content → prefer get_contents action

Prerequisites

  • EXA_API_KEY set in ~/.openclaw/workspace/.env (get one at exa.ai)
  • Rust installed (rustup) — only needed for the one-time build
  • bin/exa-search binary present (run bash install.sh to build)

Actions

1. Search

echo '{"query":"your query here","num_results":5}' \
  | EXA_API_KEY=$(grep -E "^EXA_API_KEY=" ~/.openclaw/workspace/.env | cut -d= -f2 | tr -d '"') \
  ~/.openclaw/workspace/skills/exa-search/bin/exa-search

Full params:

{
  "query": "rust async programming",
  "num_results": 5,
  "type": "neural",
  "livecrawl": "never",
  "include_domains": ["github.com", "docs.rs"],
  "exclude_domains": ["reddit.com"],
  "start_published_date": "2025-01-01",
  "end_published_date": "2026-12-31",
  "category": "research paper",
  "use_autoprompt": true,
  "text": { "max_characters": 2000 },
  "highlights": { "num_sentences": 3, "highlights_per_url": 2 },
  "summary": { "query": "key takeaways" }
}

type options: auto (default) · neural · keyword

livecrawl options:

  • "never" — fastest (~300-600ms), pure cached index. Best for reference material, docs, courses.
  • "fallback" — use cache, crawl live if not cached. Good default.
  • "preferred" — prefer live crawl. Slower but fresher.
  • "always" — always crawl live. For breaking news or rapidly-changing pages.

2. Find Similar

Find pages similar to a given URL:

echo '{"action":"find_similar","url":"https://example.com","num_results":5}' \
  | EXA_API_KEY=$(grep -E "^EXA_API_KEY=" ~/.openclaw/workspace/.env | cut -d= -f2 | tr -d '"') \
  ~/.openclaw/workspace/skills/exa-search/bin/exa-search

Params: same contents options as search (text, highlights, summary, livecrawl)


3. Get Contents

Fetch full contents for one or more URLs:

echo '{"action":"get_contents","urls":["https://example.com","https://other.com"],"text":{"max_characters":1000}}' \
  | EXA_API_KEY=$(grep -E "^EXA_API_KEY=" ~/.openclaw/workspace/.env | cut -d= -f2 | tr -d '"') \
  ~/.openclaw/workspace/skills/exa-search/bin/exa-search

Output format

All actions return JSON on stdout:

{
  "ok": true,
  "action": "search",
  "results": [
    {
      "url": "https://...",
      "title": "...",
      "score": 0.87,
      "author": "...",
      "published_date": "2026-01-15",
      "image": "https://...",
      "favicon": "https://...",
      "text": "...",
      "highlights": ["..."],
      "summary": "..."
    }
  ],
  "formatted": "## [Title](url)\
..."
}

On error:

{ "ok": false, "error": "..." }

The formatted field is ready-to-use markdown — you can send it directly to the user.


Speed reference (same query, 3 runs)

ModeAvgPeak
livecrawl: "never" (instant)~440ms308ms
Default (no livecrawl)~927ms629ms

~18.7× faster than Exa MCP at peak.


Helper: load API key

EXA_API_KEY=$(grep -E "^EXA_API_KEY=" ~/.openclaw/workspace/.env | cut -d= -f2 | tr -d '"')

Or export once at the top of a longer workflow:

export EXA_API_KEY=$(grep -E "^EXA_API_KEY=" ~/.openclaw/workspace/.env | cut -d= -f2 | tr -d '"')
echo '{"query":"..."}' | ~/.openclaw/workspace/skills/exa-search/bin/exa-search

Invocation pattern

EXA_API_KEY=$(grep -E "^EXA_API_KEY=" ~/.openclaw/workspace/.env | cut -d= -f2 | tr -d '"')
echo '{"query":"...","num_results":5,"livecrawl":"never"}' \
  | EXA_API_KEY="$EXA_API_KEY" ~/.openclaw/workspace/skills/exa-search/bin/exa-search

The formatted field in the output is ready-to-use markdown — send it directly to the user.


Mode selection (be deliberate, every search)

Situationlivecrawltype
Docs, tutorials, courses, reference material"never""neural"
General research — people, tools, concepts, companies"never""neural"
Exact function names, error messages, package names"never""keyword"
Recent releases, changelogs, GitHub repos"fallback""auto"
News or announcements from the last 1-2 weeks"fallback""neural"
Breaking news, live prices, today's events"always""neural"
Unsure"fallback""auto"

Default when in doubt: livecrawl: "never", type: "neural" — fastest, works for 80% of searches.


When to use each action

search (default) — use for any information retrieval from a query string.

find_similar — use when you have a URL and want more like it: related articles, alternative tools, similar repos, competing products.

echo '{"action":"find_similar","url":"https://...","num_results":5,"livecrawl":"never"}' | EXA_API_KEY="$EXA_API_KEY" ...

get_contents — use when you have a specific URL and need its full text: docs pages, blog posts, GitHub READMEs, papers. Faster than search when the URL is already known.

echo '{"action":"get_contents","urls":["https://..."],"text":{"max_characters":3000}}' | EXA_API_KEY="$EXA_API_KEY" ...

Enrich results for research tasks

When writing reports, summaries, or comparing multiple results — request highlights or summary per result:

{
  "query": "...",
  "num_results": 5,
  "highlights": { "num_sentences": 3, "highlights_per_url": 2 },
  "summary": { "query": "key takeaways for a developer" }
}

Note: highlights/summary add latency (~200-500ms extra). Only use when you actually need them.

平台分布

OpenClaw

87.82%
按下载量换算4,928

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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