Favicon of binlog-failure-analysis

binlog-failure-analysis Skill

AI Agent SkillC#Open source

Analyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild target execution order, and generally any MSBuild build issues. Requires an existing .binlog file. DO NOT USE FOR: generating bin Published by microsoft in testfx.

What is binlog-failure-analysis Skill?

Analyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild target execution order, and generally any MSBuild build issues. Requires an existing .binlog file. DO NOT USE FOR: generating bin Published by microsoft in testfx. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
75/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use binlog-failure-analysis Skill

  • Use it for data analysis.

Built with

C#Copy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/testfx
  • Skill file: .agents/skills/binlog-failure-analysis/SKILL.md

What it does

Analyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild target execution order, and generally any MSBuild build issues. Requires an existing .binlog file. DO NOT USE FOR: generating bin

Skill instructions

Analyzing MSBuild Failures with Binary Logs This skill diagnoses MSBuild build failures from a .binlog file. The preferred path uses the binlog MCP server (Microsoft.AITools.BinlogMcp, exposed under the binlog MCP namespace) which is bundled with this plugin. If the MCP server is not available, fall back to the binlog replay workflow at the bottom. Primary workflow — binlog MCP The MCP server exposes structured tools for inspecting a .binlog without parsing text logs. Call them directly instead of replaying the binlog to a text file. Call tools/list for the MCP first if you are unsure which tools are available. Important constraints: - The .binlog file is a binary format — do NOT try to cat, head, strings, or read it directly. Use only the MCP tools to query it. - The original source/project files might or might NOT be available on disk. Project files (.csproj, .props, .targets, App.config, etc.) - if you cannot locate them on disk, they can only be read from within the binlog via MCP

Explore related resources

Frequently asked questions

What is binlog-failure-analysis?

binlog-failure-analysis is a open-source AI agent skill with Copy skill directory. Analyze MSBuild binary logs to diagnose build failures. USE FOR: build errors that are unclear from console output, diagnosing cascading failures across multi-project builds, tracing MSBuild.

Who is binlog-failure-analysis best for?

binlog-failure-analysis is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install binlog-failure-analysis?

Install or run binlog-failure-analysis using Copy skill directory. Check binlog-failure-analysis for the latest setup command.

Is binlog-failure-analysis actively maintained?

binlog-failure-analysis may need a closer maintenance check before production use.

Share:

Stars
1,031
Forks
305
Last commit
9 days ago
Repository age
10 years
License
MIT

Auto-fetched from GitHub.

Ad
Favicon

 

  
 

Similar to binlog-failure-analysis