vllm-benchmark-result-analysis SKILL.md skillA

vllm-benchmark-result-analysis from shen-shanshan/vllm-dev-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add shen-shanshan/vllm-dev-skills/vllm-benchmark-result-analysis@git:20261026.1de0d3d

Pins git:20261026.1de0d3d in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
shen-shanshan/vllm-dev-skills
Path
skills/vllm-benchmark-result-analysis/SKILL.md
Versions recorded
2
Latest version
git:20261026.1de0d3d, committed Oct 26, 2026
First version recorded
Jun 11, 2026
Size
4,576 bytes
Repository stars
30
License
Apache-2.0

Compare vLLM serving benchmark outputs before and after a code change. Parses plain-text vLLM benchmark output (the "Serving Benchmark Result" block), computes per-metric percentage changes with improvement/regression markers, generates a Markdown report with a full metrics table and a key-changes summary, and saves it to ./outputs/. Use when the user pastes or provides vLLM benchmark output and asks to compare, summarize, or analyze performance differences between two runs (e.g.…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# vLLM Benchmark Summary

## Workflow

1. **Identify the input** — the user pastes combined text containing a "before" block and an "after" block (or provides two separate files).
2. **Save the input** to `/tmp/bench_input.txt`, then run the script.
3. **Run the script** using the bundled `./scripts/compare_benchmarks.py`. This generates the Performance Metrics table.
4. **Generate the Summary** — after the script runs, analyze the table data and write a narrative `## AI Summary` section (see guidelines below).
5. **Assemble and save** — append the Summary to the output file, then show the complete report to the user.

## Running the Script

### Combined text input (most common)

Save the user's pasted text to `/tmp/bench_input.txt`, then:

```bash
python3 ~/.claude/skills/vllm-benchmark-result-analysis/scripts/compare_benchmarks.py \
    /tmp/bench_input.txt \
    --output-dir ~/.claude/skills/vllm-benchmark-result-analysis/outputs \
    --title "vLLM Benchmark Comparison"
```

### Two separate files

```bash
python3 ~/.claude/skills/vllm-benchmark-result-analysis/scripts/compare_benchmarks.py \
    --before before.txt --after after.txt \
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add shen-shanshan/vllm-dev-skills/vllm-benchmark-result-analysis@sha256:aca51d2139b5d20c

The line at the top of this page pins the label git:20261026.1de0d3d, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qbglmj7vzhbbcdbf.svg)](https://markdownregistry.com/a/art_qbglmj7vzhbbcdbf)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 11, 2026 and Oct 26, 2026, about one every 137 days.

versioncommittedcommitsizeaudit
git:20261026.1de0d3d latest2026-10-26 1de0d3d 4,576 BA view · diff
git:20260611.d22806a2026-06-11 d22806a 4,690 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4576 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

shen-shanshan/vllm-dev-skills · 30 stars · license Apache-2.0 · pushed 2026-11-05 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_qbglmj7vzhbbcdbf
GET https://markdownregistry.com/api/v1/resolve?ref=shen-shanshan/vllm-dev-skills/vllm-benchmark-result-analysis
GET https://markdownregistry.com/api/v1/blob/aca51d2139b5d20c1d97adf4d8615ab6de9101298c0da7ebde2d31569391d5e5

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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