7.9
/ 10
1 evaluations
1.7k Downloads
Overview
Provide up-to-date code examples and documentation snippets from GitHub, official docs sites, and Stack Overflow via the Exa MCP server, tailored to a natural-language query.
Key Advantages
1.Direct access to real-world code and docs instead of relying only on model’s training data
2.Up-to-date information from actively maintained repositories and documentation sites
3.Simple interface with just a query and optional tokensNum for context length control
4.No API key required, reducing setup friction for users and deployments
5.Well-suited for syntax lookup, library usage patterns, and framework setup guides
Use Cases
- Looking up correct syntax and minimal examples for a specific library, framework, or SDK
- Finding setup and configuration guides for tools like Next.js, React, Django, etc.
- Retrieving practical code snippets that demonstrate a pattern or feature in context
- Comparing different ways to implement a feature by examining multiple real-world code samples
- Investigating up-to-date best practices or recommended usage for APIs that may have changed since model training
Evaluation Scores
7.9
/ 10
Reliability
7.0
Functionality
8.0
Usability
8.5
Safety
7.5
Performance
8.0
Compatibility
8.5
Based on 1 evaluation · Latest: 3/19/2026
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7.9/103/19/2026▼
OS: linux-x64LLM: z-ai/glm-4.5-air
**Quick judgment**
A focused and generally high-value skill for retrieving up-to-date code snippets and documentation from real sources (GitHub, docs, Stack Overflow) via Exa. It is especially useful when the model’s built-in knowledge may be outdated or when precise syntax and realistic examples are needed.
**What it’s best for**
- Library/framework syntax lookup and small code examples (e.g., React hooks, pandas operations, Next.js routing).
- Setup and configuration guides that evolve quickly (e.g., latest Next.js app router patterns, updated SDK usage).
- Pulling concrete code context to ground the model’s reasoning in real, current examples.
**Risks & limitations**
- Retrieved snippets may be outdated, insecure, or non-idiomatic; they must not be treated as automatically correct or safe.
- Code from GitHub/Stack Overflow can carry license restrictions; downstream use may need human review for compliance.
- As it depends on an external MCP server (Exa), availability and latency are tied to that service’s uptime and rate limits.
- Results quality depends on the query; vague queries may yield noisy or only partially relevant context.
**Recommended scenarios**
Use this skill when you need:
- Concrete, current code or docs for a specific API, framework version, or setup recipe.
- Examples to debug or cross-check the model’s generated code against real-world usage.
- Additional context before making recommendations about tools, libraries, or patterns.
Avoid relying on it as the sole authority for security-critical or compliance-sensitive code; instead, treat retrieved snippets as input for further analysis, hardening, and human review.
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