qryma-search
Search the Web with Multiple Output Formats
Get fast, LLM-optimized web search results with Qryma API. This skill provides structured search responses in Markdown, JSON, or Brave-style formats for seamless integration into your AI workflows.
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Using "qryma-search". Search for 'Python async await tutorial' with 3 results in Markdown format
Expected outcome:
1. Async IO in Python: A Complete Walkthrough
https://docs.python.org/3/library/asyncio.html
- Comprehensive guide to asyncio library with examples
2. Understanding Async/Await in Python
https://realpython.com/async-io-python/
- Detailed tutorial covering coroutines, event loops, and practical examples
3. Python Asyncio Tutorial
https://realpython.com/python-concurrency/
- Explains async programming patterns with real-world use cases
Using "qryma-search". Search for 'machine learning trends 2024' in JSON format
Expected outcome:
Query results returned as structured JSON with title, url, and content fields for each result, enabling programmatic processing and integration into workflows.
Security Audit
SafeStatic analysis detected 136 potential security issues across 12 files. After evaluation, all findings are false positives related to legitimate skill functionality: environment variable access for API key authentication, network requests to official Qryma API endpoints, shell commands in documentation examples, and configuration file reading. No evidence of malicious intent, credential exfiltration, or data theft. The skill follows standard patterns for API-based search tools with proper error handling.
Low Risk Issues (1)
Risk Factors
🔑 Env variables (5)
🌐 Network access (2)
Quality Score
What You Can Build
Research Assistant
Find current information, articles, and resources for research topics. Use when you need to verify facts, gather recent data, or find authoritative sources on any subject.
Developer Documentation Search
Quickly find technical documentation, tutorials, and code examples. Search for specific programming problems, libraries, or frameworks to get accurate technical results.
Content Verification
Fact-check information and find corroborating sources. Use to verify claims, find multiple perspectives on topics, or gather supporting evidence for content creation.
Try These Prompts
Search the web for "[your query here]" and return the results in Markdown format with 5 results.
Search for "[programming language or library] documentation [specific topic]" with 10 results in JSON format. Include both fulltext and snippet modes if possible.
Search the web for "[topic]" with 10 results, then search for "[topic] controversy debate" with 5 results. Return both in Markdown format.
Search for "[detailed research topic]" with 5 results starting at offset 0. If results are relevant, continue searching with start offset 5 to get more results.
Best Practices
- Always provide specific, well-focused search queries rather than broad terms to get the most relevant results
- Start with the default 5 results and increase max_results only if needed for comprehensive research
- Use Markdown format for human-readable results, JSON format for data processing, and Brave format for compatibility with existing tools
- Set the QRYMA_API_KEY as an environment variable for security and convenience instead of passing it with each command
Avoid
- Don't use very general queries like 'python' or 'javascript' - instead be specific like 'python async await best practices'
- Don't request excessive max_results (above 20) unless truly necessary, as this may slow down responses and hit rate limits
- Don't ignore the language parameter - setting it correctly improves result relevance for non-English searches
- Don't hardcode API keys in scripts or configuration files committed to version control