exa-search
Semantic search skill using Exa API for embeddings-based search, similar content discovery, and structured research. Use when you need semantic search, find similar pages, or category-specific searches. Triggers: exa, semantic search, find similar, research paper, github search, 语义搜索, 相似内容
Savant verdict: Unsafe
Savant's security policy blocks importing this skill.
Live evaluation
Not evaluated yet. Workspaces can request a live evaluation.
Security assessment
Risk score
58/100
Recommendation
DO NOT INSTALL
Severity
HIGH
Savant decision
Blocked
The security assessment advises against importing or installing this package. Static security analysis completed.
4 patterns found
- MCP Least Privilege: Code capability 'env' detected in exa-api.cjs but not covered by declared permissions.high · exa-api.cjs:1 · The skill uses 'env' capability that is not listed in its permissions. This may indicate deceptive intent or missing permission declarations.
- Privilege Escalation: .env'high · exa-api.cjs:24 · Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
- Privilege Escalation: .envhigh · exa-api.cjs:48 · Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
- Privilege Escalation: .envhigh · exa-api.cjs:172 · Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
Structure
- Ships 1 executable scriptexa-api.cjs. Review what they do before enabling the skill for agents with tool access.
- No license declaredConfirm you may reuse this skill before importing it into your repository.
- The source hub's security checks flagged this skillSnyk: warn (Risk: MEDIUM · 1 issue); Runlayer: fail (4/5 files flagged)
SKILL.md
---
name: exa-search
version: 1.0.1
author: BenedictKing
description: "Semantic search skill using Exa API for embeddings-based search, similar content discovery, and structured research. Use when you need semantic search, find similar pages, or category-specific searches. Triggers: exa, semantic search, find similar, research paper, github search, 语义搜索, 相似内容"
allowed-tools:
- Task
- Bash
- Read
- Write
user-invocable: true
---
# Exa Search Skill
## Trigger Conditions & Endpoint Selection
Choose Exa endpoint based on user intent:
- **search**: Need semantic search / find web pages / research topics
- **contents**: Given result IDs, need to extract full content
- **findsimilar**: Given URL, need to find similar pages
- **answer**: Need direct answer to a question
- **research**: Need structured research output following given `output_schema`
## Recommended Architecture (Main Skill + Sub-skill)
This skill uses a two-phase architecture:
1. **Main skill (current context)**: Understand user question → Choose endpoint → Assemble JSON payload
2. **Sub-skill (fork context)**: Only responsible for HTTP call execution, avoiding conversation history token waste
## Execution Method
Use Task tool to invoke `exa-fetcher` sub-skill, passing command and JSON (stdin):
```
Task parameters:
- subagent_type: Bash
- description: "Call Exa API"
- prompt: cat <<'JSON' | node .claude/skills/exa-search/exa-api.cjs <search|contents|findsimilar|answer|research>
{ ...payload... }
JSON
```
## Payload Examples
### 1) Search
```bash
cat <<'JSON' | node .claude/skills/exa-search/exa-api.cjs search
{
"query": "Latest research in LLMs",
"type": "auto",
"numResults": 10,
"category": "research paper",
"includeDomains": [],
"excludeDomains": [],
"startPublishedDate": "2025-01-01",
"endPublishedDate": "2025-12-31",
"includeText": [],
"excludeText": [],
"context": true,
"contents": {
"text": true,
"highlights": true,
"summary": true
}
}
JSON
```
**Search Types:**
- `neural`: Semantic search using embeddings
- `fast`: Quick keyword-based search
- `auto`: Automatically choose best method (default)
- `deep`: Comprehensive deep search
**Categories:**
- `company`, `people`, `research paper`, `news`, `pdf`, `github`, `tweet`, etc.
### 2) Contents
```bash
cat <<'JSON' | node .claude/skills/exa-search/exa-api.cjs contents
{
"ids": ["result-id-1", "result-id-2"],
"text": true,
"highlights": true,
"summary": true
}
JSON
```
### 3) Find Similar
```bash
cat <<'JSON' | node .claude/skills/exa-search/exa-api.cjs findsimilar
{
"url": "https://example.com/article",
"numResults": 10,
"category": "news",
"includeDomains": [],
"excludeDomains": [],
"startPublishedDate": "2025-01-01",
"contents": {
"text": true,
"summary": true
}
}
JSON
```
### 4) Answer
```bash
cat <<'JSON' | node .claude/skills/exa-search/exa-api.cjs answer
{
"query": "What is the capital of France?",
"numResults": 5,
"includeDomains": [],
"excludeDomains": []
}
JSON
```
### 5) Research
```bash
cat <<'JSON' | node .claude/skills/exa-search/exa-api.cjs research
{
"input": "What are the latest developments in AI?",
"model": "auto",
"stream": false,
"output_schema": {
"properties": {
"topic": {
"type": "string",
"description": "The main topic"
},
"key_findings": {
"type": "array",
"description": "List of key findings",
"items": {
"type": "string"
}
}
},
"required": ["topic"]
},
"citation_format": "numbered"
}
JSON
```
## Environment Variables & API Key
Two ways to configure API Key (priority: environment variable > `.env`):
1. Environment variable: `EXA_API_KEY`
2. `.env` file: Place in `.claude/skills/exa-search/.env`, can copy from `.env.example`
## Response Format
All endpoints return JSON with:
- `requestId`: Unique request identifier
- `results`: Array of search results
- `searchType`: Type of search performed (for search endpoint)
- `context`: LLM-friendly context string (if requested)
- `costDollars`: Detailed cost breakdown