GitCruiter Assessment Guide

Comprehensive guide to understanding GitCruiter's AI-powered GitHub analysis system, evaluation criteria, and how to interpret assessment results.

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📊 Assessment Types🎯 Scoring System📋 Evaluation Criteria✅ Hiring Recommendations🚀 Best Practices⚠️ Limitations

📊 Assessment Types

Comprehensive Skill Assessment

Complete evaluation providing a 0-100 skill score with detailed breakdown across code quality, testing, documentation, and problem-solving.

Custom Logic & Creativity Analysis

Specialized analysis evaluating algorithmic thinking, custom implementations, and creative problem-solving approaches.

🎯 Scoring System

Score RangeLevelDescription
90-100ExpertExceptional skills, industry leader
80-89SeniorStrong technical skills, can lead projects
70-79Mid-Level+Solid skills, ready for complex tasks
60-69Mid-LevelGood foundation, some growth needed
50-59Junior+Basic skills, requires mentoring
40-49JuniorEntry level, needs significant support

📋 Evaluation Criteria

Code Quality (25%)

  • • Clean code principles
  • • Code organization
  • • Naming conventions
  • • Error handling

Project Structure (20%)

  • • Repository organization
  • • File/folder structure
  • • Configuration files
  • • Dependency management

Testing Practices (20%)

  • • Test coverage
  • • Test quality and types
  • • CI/CD integration
  • • Testing frameworks

Documentation (15%)

  • • README quality
  • • Code comments
  • • API documentation
  • • Setup instructions

Problem-Solving (20%)

  • • Algorithm complexity
  • • Solution elegance
  • • Performance considerations
  • • Edge case handling

🧑‍💻 Analysis Methodology

Analysis Scope

We analyze the candidate's authored code changes (commits and diffs) while including repository context (README, project structure) for assessment. Code quality ratings reflect only the candidate's contributions, but overall project understanding benefits from seeing the full repository context.

Fork Detection

Forked repositories with minimal candidate contributions are flagged. Signals include low share of commits/lines, mostly trivial edits (docs/format), and small deltas versus the upstream parent. Such repos are not over-weighted in the final assessment.

External Contributions

We surface merged PRs to other organizations and evaluate their impact and complexity (changed files, additions/deletions, domains touched). This rewards meaningful upstream work and collaboration.

✅ Hiring Recommendations

🟢HIRE (Score: 70+)

Strong technical skills demonstrated, good code quality, ready to contribute immediately with minimal onboarding required.

🟡INTERVIEW (Score: 50-69)

Shows potential but needs verification, mixed signals in assessment, could be good fit with right team. Recommend technical interview.

🔴PASS (Score: <50)

Insufficient technical skills, poor code quality indicators, would require extensive training, not ready for the role.

🚀 Best Practices for Developers

To Improve Assessment Scores:

Code Quality

  • • Follow language-specific style guides
  • • Use meaningful variable names
  • • Write clear, concise functions
  • • Handle errors appropriately

Documentation

  • • Write comprehensive READMEs
  • • Add inline comments for complex logic
  • • Include setup instructions
  • • Document API endpoints

⚠️ Limitations and Considerations

What We Analyze:

  • ✅ Public repositories
  • ✅ Code quality and structure
  • ✅ Documentation and testing
  • ✅ Project complexity
  • ✅ Commit history

What We Don't Analyze:

  • ❌ Private repositories
  • ❌ Team collaboration skills
  • ❌ Communication abilities
  • ❌ Domain-specific knowledge
  • ❌ Cultural fit

Recommendations:

Use as one factor in hiring decisions, combine with technical interviews, consider candidate's growth trajectory, and account for different coding styles.

🎯 Getting Started

For Recruiters

Input GitHub username to get comprehensive assessment

For Developers

Optimize your GitHub profile based on our criteria

For Teams

Use for initial screening and skill gap analysis

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Last updated: August 2025Powered by GPT-4 and advanced pattern recognition algorithms