AI Agent Skill: Analyze vLLM Benchmark Results Swiftly

AI Agent Skill: Analyze vLLM Benchmark Results Swiftly

This AI Agent Skill facilitates the comparison of vLLM serving benchmark outputs to evaluate performance changes following code modifications. It parses plain-text vLLM benchmark output, computes the per-metric percentage changes, and identifies improvements or regressions. Finally, it generates a Markdown report containing a complete metrics table, a key-changes summary, and saves the report to the designated output directory.

What this skill does

• Identifies input from pasted combined text or separate files with "before" and "after" benchmark blocks.
• Saves input to /tmp/bench_input.txt.
• Executes a comparison script using ./scripts/compare_benchmarks.py to produce a Performance Metrics table.
• Analyzes data post-execution to generate a narrative ## AI Summary section.
• Appends this summary to the output Markdown file and presents the complete report to the user.

Who it is for

• Developers and engineering teams utilizing AI coding agents like Claude Code, Cursor, or Codex.
• Professionals involved in vLLM benchmark performance analysis and optimization.

Use cases

• A software engineer comparing vLLM performance metrics before and after implementing a new pull request.
• A development team tracking performance changes across multiple versions of an AI model service.
• Technical leads preparing reports on AI service performance for internal reviews.

Technical details

• Designed for use with AI agents like Claude Code, Cursor, and Codex.
• Employs a specific script located at ./scripts/compare_benchmarks.py for parsing benchmark results.
• Outputs Markdown format reports to the specified ./outputs/ directory for easy dissemination.
• Compatible with systems capable of running Python scripts, particularly those set to handle AI application workflows.

Source & Licence

This package is built on open-source work published by shen-shanshan (shen-shanshan/vllm-dev-skills) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.