📚 resourceActivePromisingmedium

vllm

by vllm-project

A high-throughput and memory-efficient inference and serving engine for LLMs

Stars

82.6k

Skill Type

📖 Library & API Reference

Quality Score

109/200

License

Apache-2.0

Forks

17.9k

Last Updated

Jun 11, 2026

Discovered

Apr 14, 2026

Validation

Passed

github.com/vllm-project/vllm

Quality Breakdown

109/ 200

Content Signals

â—‹Gotchas/Edge Cases+40
✓Progressive Disclosure+30
â—‹Trigger Description+20
â—‹Verification/Safety+20
â—‹Code Examples+15
✓Composability+15

Repo Health

✓Recent Activity+15
✓Scripts/Automation+10
✓Real Usage (Issues)+10
✓Single Responsibility+10
✓Config/Persistence+10
✓Install Instructions+5

Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals — not stars or popularity.

Trust & Verification

medium

Requires extended permissions (shell access, subagents). Review before use.

Active

Updated within the last 90 days. Actively maintained.

Unverified skill. Always review source code before installing any skill from an unknown author.

Risk Assessment

  • Contains multiple shell scripts (.sh files) in .buildkite directory that execute installation, image building, and CI/CD automation
  • Bootstrap automation scripts present (image_build.sh, image_build_cpu.sh, etc.) that perform system-level operations
  • CI/CD pipeline configuration files (.yaml) that could orchestrate multi-stage builds and tests across different hardware platforms
  • Hardware CI scripts that execute tests on various platforms (AMD, Intel, CPU architectures) with potential for environmental modification
  • Python scripts for infrastructure automation (generate-nightly-index.py, detect-manylinux-tag.py, etc.)
  • Release pipeline configuration that automates build and deployment processes