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Exa Company Research

作者 Mario Karras · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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当前安装
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版本数
在 OpenClaw 中安装
/install abm-exa-company-research
功能描述
When the user wants to research a company using web search -- company overview, products, funding, team, and recent news. Also use when the user mentions 'co...
使用说明 (SKILL.md)

Exa Company Research

You help users research companies by searching the web via Exa. Your goal is to gather comprehensive company intelligence -- what the company does, who leads it, how it's funded, and what's happening recently.

Before Starting

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Understand what the user needs (ask if not provided):

  1. Company name or domain -- the target company
  2. Research focus -- overview, funding, team, product, news, or all
  3. Purpose -- competitive research, partnership evaluation, prospect qualification, etc.

Workflow

Step 1: Search for Company Information

Run a broad search for the company:

node tools/clis/exa.js search --query "[company name] company overview" --num-results 10 --text

Review the results. If the company has a common name, add the domain or industry to narrow results:

node tools/clis/exa.js search --query "[company name] [domain.com] overview" --num-results 10 --text

To preview the request without making an API call:

node tools/clis/exa.js search --query "[company name] company overview" --num-results 10 --dry-run

Step 2: Narrow by Focus Area

Based on the user's research focus, run targeted searches:

  • Funding: node tools/clis/exa.js search --query "[company] funding round investment" --num-results 5 --text
  • Team: node tools/clis/exa.js search --query "[company] leadership team executives" --num-results 5 --text
  • Product: node tools/clis/exa.js search --query "[company] product features pricing" --num-results 5 --text
  • News: node tools/clis/exa.js search --query "[company] news announcement" --num-results 5 --start-date "[30 days ago YYYY-MM-DD]" --text

Skip this step if the user wants a general overview -- the initial search usually covers enough.

Step 3: Fetch Detailed Content

For the most relevant results from Steps 1-2, fetch full content using the result IDs:

node tools/clis/exa.js contents --ids "[id1],[id2],[id3]" --text --highlights

Focus on 3-5 of the most relevant sources. Quality over quantity.

Step 4: Synthesize Findings

Organize everything into the output format below. Cross-reference multiple sources for accuracy. Flag anything that appears outdated or unverified.

Output Format

Structure your findings as:

Company Overview

  • Name: [Full legal/brand name]
  • Website: [Primary domain]
  • One-liner: [What they do in one sentence]
  • Founded: [Year]
  • Headquarters: [City, Country]
  • Company size: [Employee count or range, if available]

Products & Services

  • [Product/service 1]: [Brief description]
  • [Product/service 2]: [Brief description]

Team & Leadership

Name Title Background
[Name] [Title] [Notable background]

Funding & Financials

  • Total raised: [Amount, if available]
  • Latest round: [Type, amount, date]
  • Key investors: [Notable investors]
  • Revenue signals: [Any public revenue data or signals]

Recent News

  • [Date]: [Headline / summary]
  • [Date]: [Headline / summary]

Competitive Position

  • Market: [Industry/category]
  • Key competitors: [Top 2-3 competitors]
  • Differentiation: [What sets them apart]

Related Skills

  • exa-people-search: Find specific individuals at companies
  • exa-lead-generation: Build prospect lists matching criteria
  • competitor-alternatives: Create competitor comparison and alternative pages
安全使用建议
Before installing, confirm these points with the skill author or your ops team: - Ensure the runtime environment actually contains 'node' and the expected local CLI script at tools/clis/exa.js (or provide a declared dependency). If the CLI is missing the skill cannot run. - Ask how the Exa CLI authenticates: does it require an API key, config file, or environment variables? The skill does not declare any required credentials — verify where those secrets would be stored and whether they are appropriate to share with the agent. - Review any .agents/product-marketing-context.md or .claude/product-marketing-context.md files the skill would read for sensitive information before allowing the skill to access them. - If you do not want the agent running arbitrary local commands, do not enable autonomous invocation for untrusted skills and verify the toolchain in a sandbox first. If the author can supply a short runtime requirements list (node version, exa CLI location, and required auth variables) and confirm no hidden credential exfiltration, this skill would be coherent for its purpose.
功能分析
Type: OpenClaw Skill Name: abm-exa-company-research Version: 1.0.0 The skill bundle provides instructions for an AI agent to perform company research using a local CLI tool (tools/clis/exa.js). The workflow and commands are consistent with the stated purpose of searching for and synthesizing company information, and there are no indicators of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
The SKILL.md describes web-based company research via an 'Exa' CLI and reading an optional product-marketing-context file. That aligns with the stated purpose, but the skill assumes the presence of a local Node-based CLI (node tools/clis/exa.js) and an Exa service/backend without declaring those runtime requirements.
Instruction Scope
Instructions stay within the research task (search, fetch contents, synthesize). They explicitly tell the agent to read .agents/product-marketing-context.md (or .claude/...) if present — reasonable for context reuse but worth reviewing because those workspace files can contain sensitive internal details.
Install Mechanism
No install spec and no code files are present (instruction-only). That minimizes installer risk.
Credentials
The skill requests no env vars or credentials, yet it depends on an Exa CLI that almost certainly requires authentication and also invokes 'node'. The lack of declared runtime dependencies or credential requirements is an omission that reduces transparency and could hide prerequisites (API keys, tokens, or preconfigured client credentials) in the environment.
Persistence & Privilege
always is false and there is no install or code that persists beyond the agent's runtime. The skill does instruct reading workspace context files but does not request elevated or persistent privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install abm-exa-company-research
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /abm-exa-company-research 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of exa-company-research skill: - Enables structured web-based research into companies, including overview, products, funding, team, and recent news - Guides on how to clarify user needs and tailor searches using Exa - Provides step-by-step workflow for searching, narrowing by focus, fetching detailed content, and synthesizing findings - Outputs research in a clear, organized format covering all major company intelligence areas - Suggests related skills for people search, lead generation, and competitor analysis
元数据
Slug abm-exa-company-research
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Exa Company Research 是什么?

When the user wants to research a company using web search -- company overview, products, funding, team, and recent news. Also use when the user mentions 'co... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 241 次。

如何安装 Exa Company Research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install abm-exa-company-research」即可一键安装,无需额外配置。

Exa Company Research 是免费的吗?

是的,Exa Company Research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Exa Company Research 支持哪些平台?

Exa Company Research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Exa Company Research?

由 Mario Karras(@mariokarras)开发并维护,当前版本 v1.0.0。

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