Clig Eval Prompt
Clig Eval Prompt assesses prompt quality and clarity, ensuring better AI responses by identifying potential issues and suggesting improvements.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add clig-eval-prompt npx -- -y @trustedskills/clig-eval-prompt
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"clig-eval-prompt": {
"command": "npx",
"args": [
"-y",
"@trustedskills/clig-eval-prompt"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The clig-eval-prompt skill evaluates a given prompt and provides feedback on its quality. It assesses aspects like clarity, conciseness, potential biases, and overall effectiveness for achieving the desired outcome from an AI model. The skill aims to help users refine their prompts to improve the performance of AI agents.
When to use it
- Prompt Optimization: Before deploying a prompt in a production environment, evaluate its likely impact on the AI agent's output.
- Bias Detection: Identify potential biases or problematic phrasing within a prompt that could lead to unfair or undesirable results.
- Training New Users: Help users learn how to write effective prompts by providing constructive feedback and guidance.
- Troubleshooting Poor Performance: Analyze prompts used with an AI agent that is not performing as expected, identifying areas for improvement.
Key capabilities
- Prompt evaluation
- Bias detection
- Clarity assessment
- Conciseness analysis
- Feedback generation
Example prompts
- "Evaluate this prompt: 'Write a short story about a cat.'"
- "Can you analyze this prompt for potential biases? 'Describe the typical CEO.'"
- "Give me feedback on how to improve this prompt: 'Generate marketing copy for our new product.'"
Tips & gotchas
The quality of the evaluation depends heavily on the clarity and specificity of the prompt provided to clig-eval-prompt. It's best used with prompts intended for generative AI models.
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.