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Hybrid Benchmarking

Agent skill
1 skill

Benchmark a hybrid-attention model across the LMCache performance ladder (vLLM no-hybrid-allocator → hybrid allocator + prefix caching → hybrid allocator + LMCache) and produce a decode-throughput / TTFT / cache-hit-rate comparison. Use when asked to benchmark, demo, or quantify the value of LMCache caching for a hybrid model.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Skill stats

Skills1CategoryEngineeringStars0

About this skill

Benchmark a hybrid-attention model across the LMCache performance ladder (vLLM no-hybrid-allocator → hybrid allocator + prefix caching → hybrid allocator + LMCache) and produce a decode-throughput / TTFT / cache-hit-rate comparison. Use when asked to benchmark, demo, or quantify the value of LMCache caching for a hybrid model.

Quick start

  1. Copy the install prompt. Use the green button above this README.
  2. Send it to your agent. Paste it into your coding agent’s chat and send.
  3. Review the setup. Your agent checks the skill’s instructions, requirements, and installation scope.
Review, license & listing details
Review the source before using this skill

This is an imported listing. We haven’t certified its safety, license, or compatibility. Skills may include executable scripts.

Automated security scan: Partial

Only SKILL.md was scanned. Supporting files and scripts were not checked. No safety grade has been assigned.

0 potential findings · Scanned 11/4/2026 · Scanner 0.2.1

Content SHA-256: 59dc9da257591a9501a85818d27b99606aa988d16c8c2037f9d8a1d2a7235549

About scan coverage and limitations

About this listing

Category
Engineering
Reported license
Apache-2.0
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Hybrid Benchmarking | Agent Skills Atlas