langchain-performance-tuning
Pass
Audited by Gen Agent Trust Hub on Sep 9, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides technical documentation and code examples for performance optimization of LangChain and LangGraph applications, focusing on legitimate development practices.
- [SAFE]: No malicious patterns such as prompt injection, data exfiltration, or persistence mechanisms were found in the instructions or code snippets.
- [SAFE]: The suggested bash commands for code analysis (ripgrep patterns) and Python linting code (using the ast module) are standard development tools for static analysis and do not execute untrusted code.
- [SAFE]: All external references target official documentation (e.g., langchain.com, github.io) which are well-known and trusted sources.
- [SAFE]: Redis connection strings and environment variable references in code examples use generic placeholders or local development defaults, posing no risk of credential exposure.
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