project-analyze

Project Analyze Skill

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Install skill "project-analyze" with this command: npx skills add loonghao/vx/loonghao-vx-project-analyze

Project Analyze Skill

This skill provides a systematic workflow for testing vx-project-analyzer against real-world projects.

When to Use

  • Testing the project analyzer against specific open source projects

  • Validating analyzer changes work correctly across different project types

  • Discovering edge cases and missing features in the analyzer

  • Iterating on fixes until analysis works correctly

Workflow

Step 1: Project Discovery

To find the project repository:

  • If the project name is ambiguous (e.g., "codex"), search GitHub to find the correct repository

  • Common project mappings are documented in references/known-projects.md

  • Verify the repository URL before proceeding

Step 2: Clone Project

To clone the project to a temporary location:

Windows

cd c:/github && git clone --depth 1 <repo-url> <project-name>-test

Unix

cd /tmp && git clone --depth 1 <repo-url> <project-name>-test

Use --depth 1 for shallow clone to save time and space.

Step 3: Run Analysis

To run the project analyzer:

cargo run --manifest-path c:/github/vx/Cargo.toml -p vx-project-analyzer --example analyze_project -- <project-path>

Step 4: Evaluate Results

To evaluate the analysis results, check:

  • Ecosystems detected - Are all languages in the project detected?

  • Dependencies - Are dependencies correctly parsed? Count should be reasonable.

  • Scripts - Are common scripts detected? No false positives?

  • Required tools - Are the right tools identified? No misidentified npm scripts?

Common issues to look for:

  • Monorepo projects with language files in subdirectories

  • Missing language support (e.g., Go, Java)

  • False positive tool detection from internal script references

  • Workspace/monorepo dependencies not being counted

Step 5: Fix Issues

If issues are found:

  • Identify the root cause in vx-project-analyzer code

  • Make targeted fixes to the relevant modules

  • Re-run analysis to verify the fix

  • Repeat until analysis is correct

Step 6: Cleanup

After testing is complete, remove the cloned project:

Windows

Remove-Item -Recurse -Force c:/github/<project-name>-test

Unix

rm -rf /tmp/<project-name>-test

Quick Reference

Supported Languages

Language Marker File Analyzer

Python pyproject.toml , setup.py

PythonAnalyzer

Node.js package.json

NodeJsAnalyzer

Rust Cargo.toml

RustAnalyzer

Go go.mod

GoAnalyzer

Common Test Projects

See references/known-projects.md for a curated list of test projects.

Analysis Output Format

=== Analyzing: <path> ===

📦 Detected ecosystems: [<ecosystems>]

📋 Dependencies: <count> found - <name> (<version>) [<ecosystem>] ...

📜 Scripts: <count> found - <name>: &#x3C;command> ...

🔧 Required tools: - <tool>: <description> ...

Troubleshooting

No ecosystems detected

  • Check if marker files exist in root or immediate subdirectories

  • Verify max_depth config allows subdirectory scanning

Dependencies count is 0

  • For workspace projects, dependencies may be in member crates

  • Check if the dependency parser handles the file format correctly

Too many required tools (false positives)

  • Check if internal script references are being filtered

  • Verify known_scripts context is passed to parser

Missing language support

  • Check if a language analyzer exists in languages/ module

  • May need to implement a new analyzer

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