sglang-bisect-ci-regression

Extract failure signatures and bisect SGLang CI regressions across main-branch commits.

Updated May 30, 2026
One-click install
npx skills add https://github.com/QingHuan-6/SglangGen --skill sglang-bisect-ci-regression-qinghuan-6
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sglang-bisect-ci-regression
Source: https://github.com/QingHuan-6/SglangGen/tree/main/.claude/skills/sglang-bisect-ci-regression
Command: npx skills add https://github.com/QingHuan-6/SglangGen --skill sglang-bisect-ci-regression-qinghuan-6

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables engineers to identify root causes of consistently failing SGLang CI tests by extracting failure signatures from scheduled main-branch runs, bisecting the commit window, and checking for runner or hardware specificity, with optional remote reproduction on a GPU host.

Core Features & Use Cases

  • Extract failure signatures from scheduled CI runs and collect exact error messages, failing test names, and involved models/configs.
  • Temporal bisect across main-branch commits to isolate the regression window and identify candidate commits.
  • Analyze runner/hardware context and reproduce failures on remote GPU hosts when requested.
  • Produce a structured regression report with evidence, timeline, and recommended actions.

Quick Start

Provide a failing test name or CI URL to begin the regression bisect workflow.

Frequently Asked Questions about sglang-bisect-ci-regression

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find the root cause of a CI regression in SGLang scheduled runs?

To find the root cause of a SGLang CI regression, extract failure signatures from scheduled runs and bisect the main-branch commit window. This process isolates the regression window and identifies candidate commits for review.

How does bisection work for diagnosing GitHub Actions CI failures?

Bisection for GitHub Actions CI failures works by applying failures across main-branch commits to narrow down the regression window. It evaluates whether issues stem from code regressions, environment changes, or hardware-specific runner contexts.

Can I reproduce CI test failures on a remote GPU host?

Yes, you can reproduce CI test failures on a remote GPU host. The workflow analyzes runner and hardware context, then provides remote reproduction guidance and reproducibility steps when requested to verify the issue.

What information do I need to start debugging a CI regression?

To start debugging a CI regression, you need to provide a failing test name or a CI URL. The workflow then collects exact error messages, failing test names, and involved models or configs to build a structured report.

Does this tool differentiate between code regressions and environment changes?

Yes, it differentiates between code regressions, environment changes, and hardware-specific issues. By analyzing runner and hardware context alongside temporal bisection, it categorizes the failure source and generates a targeted remediation plan.