Langsmith Evaluator
Langsmith Evaluator assesses LLM outputs for quality and consistency, streamlining feedback loops & improving model performance.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add jackjin1997-langsmith-evaluator npx -- -y @trustedskills/jackjin1997-langsmith-evaluator
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"jackjin1997-langsmith-evaluator": {
"command": "npx",
"args": [
"-y",
"@trustedskills/jackjin1997-langsmith-evaluator"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows AI agents to leverage LangSmith's evaluation capabilities. It provides a framework for evaluating LLM outputs against predefined metrics, enabling more robust and reliable agent performance. The skill facilitates automated feedback loops and helps identify areas for improvement in agent behavior.
When to use it
- Evaluating Agent Responses: Assess the quality of an agent’s answers based on specific criteria (e.g., accuracy, helpfulness, safety).
- Debugging Agent Behavior: Pinpoint why an agent is producing undesirable outputs by analyzing evaluation results.
- Improving Prompt Engineering: Refine prompts to optimize for higher scores in LangSmith evaluations.
- Automated Testing: Integrate the skill into automated testing pipelines to ensure consistent performance over time.
Key capabilities
- Integration with Langsmith platform
- Evaluation of LLM outputs against metrics
- Automated feedback loops
- Performance analysis and debugging
Example prompts
- "Evaluate this agent response: '...' using the LangSmith evaluator."
- "Run a LangSmith evaluation on the last 5 interactions with the user."
- "Show me the performance report from the LangSmith evaluator for this task."
Tips & gotchas
- Requires an active LangSmith account and API key to function correctly.
- The effectiveness of the skill depends on well-defined and appropriate evaluation metrics within LangSmith.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.