Claude-skill-registry Advanced RE Analysis

Specialized reverse engineering analysis workflows for binary analysis, pattern recognition, and vulnerability assessment

install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/advanced-re-analysis" ~/.claude/skills/majiayu000-claude-skill-registry-advanced-re-analysis && rm -rf "$T"
manifest: skills/data/advanced-re-analysis/SKILL.md
source content

Advanced Reverse Engineering Analysis Skill

This Skill provides specialized reverse engineering analysis capabilities for binary analysis, pattern recognition, and vulnerability assessment.

Capabilities

Binary Analysis

  • Function analysis and classification
  • String pattern recognition
  • Cross-reference analysis
  • Control flow analysis

Pattern Recognition

  • Malware pattern detection
  • Vulnerability pattern identification
  • Security feature analysis
  • Code obfuscation detection

Vulnerability Assessment

  • Buffer overflow detection
  • Format string vulnerability identification
  • Integer overflow analysis
  • Use-after-free detection

Usage

Basic Analysis

# Analyze binary for security issues
analysis_result = analyze_binary_security(binary_data)

Pattern Recognition

# Detect malware patterns
malware_indicators = detect_malware_patterns(binary_data)

Vulnerability Assessment

# Assess vulnerabilities
vulnerabilities = assess_vulnerabilities(binary_data)

Output Formats

  • Technical Reports: Detailed analysis results
  • Risk Matrices: Vulnerability risk assessment
  • IOC Reports: Indicators of Compromise
  • Remediation Guides: Security recommendations

Configuration

Analysis Parameters

  • sensitivity_level
    : Analysis sensitivity (low, medium, high)
  • pattern_types
    : Types of patterns to detect
  • output_format
    : Desired output format
  • include_recommendations
    : Include remediation suggestions

Custom Patterns

  • Define custom pattern recognition rules
  • Configure analysis thresholds
  • Set output preferences

Examples

Malware Analysis

# Analyze binary for malware indicators
result = analyze_malware_indicators(
    binary_data=binary_data,
    sensitivity="high",
    include_network_indicators=True,
    include_file_operations=True
)

Vulnerability Assessment

# Assess binary for vulnerabilities
vulnerabilities = assess_binary_vulnerabilities(
    binary_data=binary_data,
    check_buffer_overflows=True,
    check_format_strings=True,
    check_integer_overflows=True
)

Security Analysis

# Perform comprehensive security analysis
security_report = perform_security_analysis(
    binary_data=binary_data,
    analysis_depth="comprehensive",
    include_recommendations=True
)

Integration

This Skill integrates with EmberScale to provide:

  1. Automated Analysis: Automated binary analysis workflows
  2. Pattern Recognition: Advanced pattern detection capabilities
  3. Vulnerability Assessment: Comprehensive security assessment
  4. Report Generation: Automated report generation
  5. Recommendation Engine: Security improvement suggestions

Requirements

  • Binary analysis capabilities
  • Pattern recognition algorithms
  • Vulnerability detection methods
  • Report generation tools
  • Security assessment frameworks

Output

The Skill generates comprehensive analysis reports including:

  • Executive Summary: High-level findings and recommendations
  • Technical Details: Detailed analysis results
  • Risk Assessment: Vulnerability risk analysis
  • Remediation Guide: Security improvement recommendations
  • IOC Report: Indicators of Compromise for threat hunting

Support

For questions and support regarding this Skill:

  1. Check the documentation
  2. Review example usage
  3. Contact the development team
  4. Submit issues and feedback

Advanced Reverse Engineering Analysis Skill - Specialized binary analysis and security assessment