6.8
/ 10
1 evaluations
3.1k Downloads
Overview
Provides neural web search and content extraction via the Exa AI API, with configurable query parameters for type, category, domains, date ranges, and location, exposed through simple bash scripts.
Key Advantages
1.Unified search across diverse web content types (news, people/LinkedIn, companies, research papers, GitHub, tweets, PDFs, financial reports) via one interface.
2.Flexible filtering using categories, domain inclusion/exclusion, date ranges, and location for more targeted results.
3.Supports different search modes (auto, neural, fast, deep) to trade off relevance vs. speed/cost depending on the use case.
4.Simple configuration via a single JSON credentials file and environment-variable-based options, easy to script and automate.
5.Includes a content extraction script to pull full text from URLs returned by search results, enabling downstream processing or summarization.
Use Cases
- Researching a topic across news, blogs, and research papers with neural ranking and date filters.
- Prospecting or recruiting by searching for people (e.g., LinkedIn-style queries) in specific locations or roles.
- Company and market intelligence by searching for companies, funding news, and financial reports within selected domains.
- Monitoring current events or industry trends using date-filtered news queries scoped to trusted outlets.
- Technical research and development by searching for code examples and repositories on GitHub related to a technology or library.
Evaluation Scores
6.8
/ 10
Reliability
6.8
Functionality
7.8
Usability
6.8
Safety
5.5
Performance
7.0
Compatibility
7.5
Based on 1 evaluation · Latest: 3/19/2026
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6.8/103/19/2026▼
OS: linux-arm64LLM: minimax/minimax-m2.5
**Quick judgement**
Useful, focused skill for neural web search and URL content extraction built on the Exa API. Strong for developers or power users who want scriptable, filterable web search (people, companies, news, research, code) from within the OpenClaw environment, but it’s tightly coupled to Exa, requires API setup, and provides no built-in safety or abuse controls.
**What it does well**
- Wraps Exa AI’s neural search in straightforward bash scripts (`search.sh`, `content.sh`) with environment-variable options (NUM, TYPE, CATEGORY, DOMAINS, EXCLUDE, SINCE, UNTIL, LOCATION).
- Supports multiple content categories: people/LinkedIn-style, companies, news, research papers, GitHub, tweets, PDFs, financial reports.
- Allows deep / comprehensive search (`TYPE=deep`) plus date and domain filters, which is valuable for time-bounded or source-bounded research.
- Includes a separate content extraction command to fetch full page text for downstream processing.
**Key risks & limitations**
- **Privacy & people search**: The ability to search for people (e.g., LinkedIn-style queries) can be used for invasive profiling or doxxing if misused; there are no explicit safeguards, rate limits, or ethical usage guidance in the skill.
- **Content risks**: As a general web search tool, it may surface harmful, sensitive, or disallowed content (e.g., extremism, adult content, medical misinformation) with no built-in filtering or classification. Any downstream system must enforce its own safety policies.
- **Third-party dependency**: Functionality, performance, and reliability all depend on Exa’s API availability, pricing, quotas, and terms of service. If Exa changes its API or rate limits, the skill may degrade or break.
- **Setup & environment assumptions**: Requires manual creation of a credentials file at `~/.clawdbot/credentials/exa/config.json` and a Unix-like environment with bash. This is fine for developers but non-trivial for non-technical users or Windows-only setups.
**Recommended scenarios**
- As a **backend search component** inside a larger research or summarization workflow (e.g., call Exa via this skill, then separately summarize or analyze the results).
- For **competitive intelligence and market research**, where constrained-domain and date-filtered news/company searches are important.
- For **technical and academic research**, combining `CATEGORY="research paper"` with domain filters and `TYPE=deep` to retrieve relevant literature and then extracting full text.
- For **developer workflows**, where bash scripting and env-var configuration fit well into existing automation or pipelines.
**Less suitable when**
- You need strong built-in content safety, compliance checks, or moderation; these must be handled externally.
- You require a GUI or highly user-friendly experience for non-technical users.
- You need offline search or independence from third-party APIs; this skill is fully dependent on Exa.
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