Ln 005 Agent Reviewer
Analyzes text content for factual accuracy, bias, and clarity, providing detailed feedback for improvement.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add ln-005-agent-reviewer npx -- -y @trustedskills/ln-005-agent-reviewer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"ln-005-agent-reviewer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/ln-005-agent-reviewer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The Agent Reviewer skill evaluates the performance of other AI agents. It can assess agent outputs against predefined criteria, identify areas for improvement, and provide actionable feedback to enhance overall agent effectiveness. This allows for iterative refinement of agent behavior and improved task completion rates.
When to use it
- Debugging complex workflows: Identify bottlenecks or errors in multi-agent systems by having the Agent Reviewer analyze each step.
- Evaluating new agent versions: Quickly compare the performance of different iterations of an agent against a baseline.
- Improving agent prompt engineering: Determine which prompts lead to the best results and refine them based on reviewer feedback.
- Automated quality assurance: Regularly assess agent outputs for consistency and accuracy, ensuring adherence to standards.
Key capabilities
- Performance assessment against criteria
- Identification of areas for improvement
- Actionable feedback generation
- Comparison of different agent versions
Example prompts
- "Review the output of Agent X in this conversation and rate its helpfulness on a scale of 1-5."
- "Compare the responses from Agent A and Agent B to the same prompt. Which is more accurate?"
- "Analyze Agent Y's performance in completing task Z and suggest improvements to its workflow."
Tips & gotchas
The effectiveness of this skill depends on clearly defined evaluation criteria. Providing specific, measurable, achievable, relevant, and time-bound (SMART) goals will yield the most useful feedback.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.