eval-performance Skill
Guide for diagnosing and improving MSBuild project evaluation performance. USE FOR: builds slow before any compilation starts, high evaluation time in binlog analysis, expensive glob patterns walking large directories (nodemodules, .git, bin/obj), deep import chains (20 levels), preprocessed output 10K lines indicating Published by microsoft in testfx.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
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Copy skill directory
2 months ago · MIT license
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What is eval-performance Skill?
Guide for diagnosing and improving MSBuild project evaluation performance. USE FOR: builds slow before any compilation starts, high evaluation time in binlog analysis, expensive glob patterns walking large directories (nodemodules, .git, bin/obj), deep import chains (20 levels), preprocessed output 10K lines indicating 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.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Declared license: MIT
- Source file: .agents/skills/eval-performance/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use eval-performance Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/testfx
- Skill file: .agents/skills/eval-performance/SKILL.md
What it does
Guide for diagnosing and improving MSBuild project evaluation performance. USE FOR: builds slow before any compilation starts, high evaluation time in binlog analysis, expensive glob patterns walking large directories (nodemodules, .git, bin/obj), deep import chains (20 levels), preprocessed output 10K lines indicating
Skill instructions
MSBuild Evaluation Phases For a comprehensive overview of MSBuild's evaluation and execution model, see Build process overview. 1. Initial properties: environment variables, global properties, reserved properties 2. Imports and property evaluation: process <Import, evaluate <PropertyGroup top-to-bottom 3. Item definition evaluation: <ItemDefinitionGroup metadata defaults 4. Item evaluation: <ItemGroup with Include, Remove, Update, glob expansion 5. UsingTask evaluation: register custom tasks Key insight: evaluation happens BEFORE any targets run. Slow evaluation = slow build start even when nothing needs compiling. Diagnosing Evaluation Performance Primary: binlog MCP (preferred) Use the binlog MCP server (Microsoft.AITools.BinlogMcp, exposed under the binlog MCP namespace) to analyze evaluation performance: 1. Use the evaluations tool to list all evaluations and their durations 2. Use evaluationglobalproperties to check for multiple evaluations with differing global properties 3. Use
Verified compatibility and discovery
Frequently asked questions
What is eval-performance?
eval-performance is a open-source AI agent skill with Copy skill directory. Guide for diagnosing and improving MSBuild project evaluation performance. USE FOR: builds slow before any compilation starts, high evaluation time in binlog analysis, expensive glob patterns walking.
Who is eval-performance best for?
eval-performance is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install eval-performance?
Install or run eval-performance using Copy skill directory. Check eval-performance for the latest setup command.
Is eval-performance actively maintained?
eval-performance may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
