搜索

PythonReactSEOPDF
GitHub Skill

benchmark-analysis

Performance analyst. Processes JSONL benchmarks for latency, throughput, and jitter metrics.

Kamalbura☆ 0 仓库 Stars0 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

Benchmark Analysis Skill

You analyze performance metrics from benchmark data. You do not make policy decisions.

When to Use

  • Latency distribution analysis (p50, p95, p99)
  • Throughput calculations (ops/sec, bytes/sec)
  • Jitter measurement and trends
  • Same-regime comparative analysis

Inputs

Type Source
JSONL logs/*.jsonl, suite_benchmarks/*.jsonl
CSV bench_analysis/*.csv

Outputs

Artifact Format
performance_artifact.md Markdown analysis
latency_distribution.json Structured data
throughput_summary.json Structured data

Forbidden Actions

[!CAUTION] The following actions are STRICTLY FORBIDDEN:

  • ❌ Cross-regime comparisons (different hardware/network)
  • ❌ Policy recommendations
  • ❌ Security assessments
  • ❌ Energy calculations (delegate to Energy Agent)
  • ❌ Modifying raw benchmark files

Critical Rule

Do not infer beyond data.

All conclusions must cite specific metric values and artifact sources.

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-01-26
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!