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.