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GitHub Skill

skyline-nightlytests

Use this skill when looking at nightly test results or investigating test failures.

ProteoWizard☆ 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

Skyline Nightly Test Analysis

Full documentation: ai/docs/mcp/nightly-tests.md

MCP Tools (Quick Reference)

Tool Purpose
get_daily_test_summary(report_date) Daily report for all 6 folders → ai/.tmp/
save_test_failure_history(test_name, start_date, container_path) Stack trace pattern analysis → ai/.tmp/
save_run_log(run_id) Full test log for grep/search → ai/.tmp/
get_run_failures(run_id) Stack traces for a specific run
get_run_leaks(run_id) Leak details for a specific run

Test Folders

Folder Duration Branch
Nightly x64 540 min master (default)
Performance Tests 720 min master
Release Branch 540 min release
Release Branch Performance Tests 720 min release
Integration 540 min assigned
Integration with Perf Tests 720 min assigned

Typical Workflow

  1. Daily review: get_daily_test_summary("2025-12-15") → read report
  2. Pattern analysis: If test failed on multiple machines, use save_test_failure_history to check if same root cause
  3. Deep dive: Use save_run_log when stack traces aren't sufficient

Anomaly Detection

  • Short duration (< expected) = crash or premature termination
  • Full duration + low test count = hang
  • Stddev-based: 3σ/4σ from trained mean flags anomalies

For server-side queries, examples, and detailed workflows, see ai/docs/mcp/nightly-tests.md.

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。

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