Check Review Alignment
Verifies if generated content aligns with provided review guidelines and feedback from huangwb8.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add check-review-alignment npx -- -y @trustedskills/check-review-alignment
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"check-review-alignment": {
"command": "npx",
"args": [
"-y",
"@trustedskills/check-review-alignment"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The check-review-alignment skill verifies that AI-generated research outputs strictly adhere to the original user instructions and review criteria. It acts as a quality gate, ensuring consistency between initial prompts, iterative feedback, and final deliverables in complex workflows like Chinese academic writing.
When to use it
- Validating that a generated LaTeX paper matches specific formatting rules requested in the prompt.
- Ensuring an AI agent's response to a reviewer's critique does not drift from the core research topic.
- Confirming that multi-step instructions for data analysis are followed exactly in the final report.
- Checking if a translated document retains all constraints and nuances from the source language instructions.
Key capabilities
- Cross-references current output against stored initial instructions.
- Identifies deviations between review feedback and the agent's subsequent actions.
- Validates adherence to specific structural or stylistic guidelines provided by the user.
Example prompts
- "Run
check-review-alignmenton this draft to ensure it follows my original constraints for a Chinese literature review." - "Use
check-review-alignmentto verify that the agent's response to the peer review comments didn't introduce new, unapproved methodologies." - "Execute
check-review-alignmentto confirm the final LaTeX output matches the sectioning requirements I defined in step one."
Tips & gotchas
This skill is most effective when used after an iterative drafting process where instructions or feedback have changed. It requires the agent to maintain a clear record of the original constraints to perform an accurate comparison.
Tags
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