Perplexity Search
Davila7's perplexity-search analyzes text to identify confusing or unclear passages needing clarification or rephrasing.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add perplexity-search npx -- -y @trustedskills/perplexity-search
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"perplexity-search": {
"command": "npx",
"args": [
"-y",
"@trustedskills/perplexity-search"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The perplexity-search skill enables AI agents to analyze and interpret the complexity of text, helping users understand how difficult or unpredictable a given piece of text is. This can be useful for evaluating readability, language quality, or the effectiveness of generated content.
When to use it
- To assess the clarity of user-generated content before publishing.
- For improving natural language processing models by analyzing input complexity.
- When comparing different versions of a document to determine which is more readable.
- In educational settings to evaluate student writing based on linguistic complexity.
Key capabilities
- Measures text complexity using perplexity scores.
- Provides insights into readability and predictability of content.
- Supports analysis across multiple languages and formats.
Example prompts
- "Analyze the perplexity score of this research paper."
- "Compare the readability of these two articles using perplexity."
- "Evaluate how complex this generated text is for a language model."
Tips & gotchas
- Ensure input text is properly formatted and free from excessive noise or irrelevant content.
- Perplexity scores may vary depending on the language model used, so results should be interpreted in context.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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