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Nm Sanctum File Analysis

by @athola

Maps file structure and module organization of a codebase. Use before architecture reviews, refactoring planning, or migration scope estimation

Versionv1.9.16
Downloads1,224
TERMINAL
clawhub install nm-sanctum-file-analysis

πŸ“– About This Skill


name: file-analysis description: | Map file structure and organization for downstream review and refactoring workflows version: 1.9.4 triggers: - files - structure - analysis - codebase - exploration metadata: {"openclaw": {"homepage": "https://github.com/athola/claude-night-market/tree/master/plugins/sanctum", "emoji": "\ud83e\udd9e", "requires": {"config": ["night-market.sanctum:shared", "night-market.imbue:proof-of-work"]}}} source: claude-night-market source_plugin: sanctum

> Night Market Skill β€” ported from claude-night-market/sanctum. For the full experience with agents, hooks, and commands, install the Claude Code plugin.

File Analysis

When To Use

  • Before architecture reviews to understand module boundaries and file organization.
  • When exploring unfamiliar codebases to map structure before making changes.
  • As input to scope estimation for refactoring or migration work.
  • When NOT To Use

  • General code exploration - use the Explore agent
  • Searching for specific patterns - use Grep directly
  • Required TodoWrite Items

    1. file-analysis:root-identified 2. file-analysis:structure-mapped 3. file-analysis:patterns-detected 4. file-analysis:hotspots-noted

    Mark each item as complete as you finish the corresponding step.

    Step 1: Identify Root (file-analysis:root-identified)

  • Confirm the analysis root directory with pwd.
  • Note any monorepo boundaries, workspace roots, or subproject paths.
  • Capture the project type (language, framework) from manifest files (package.json, Cargo.toml, pyproject.toml, etc.).
  • Step 2: Map Structure (file-analysis:structure-mapped)

  • Run tree -L 2 -d or find . -type d -maxdepth 2 to capture the top-level directory layout.
  • Identify standard directories: src/, lib/, tests/, docs/, scripts/, configs/.
  • Note any non-standard organization patterns that may affect downstream analysis.
  • Step 3: Detect Patterns (file-analysis:patterns-detected)

  • Use find . -name "*.ext" -not -path "*/.venv/*" -not -path "*/__pycache__/*" -not -path "*/node_modules/*" -not -path "*/.git/*" | wc -l to count files by extension.
  • Identify dominant languages and their file distributions.
  • Note configuration files, generated files, and vendored dependencies.
  • Run wc -l $(find . -not -path "*/.venv/*" -not -path "*/__pycache__/*" -not -path "*/node_modules/*" -not -path "*/.git/*" -name "*.py" -o -name "*.rs" | head -20) to sample file sizes.
  • Step 4: Note Hotspots (file-analysis:hotspots-noted)

  • Identify large files (potential "god objects"): find . -type f -exec wc -l {} + | sort -rn | head -10.
  • Flag deeply nested directories that may indicate complexity.
  • Note files with unusual naming conventions or placement.
  • Exit Criteria

  • TodoWrite items are completed with concrete observations.
  • Downstream workflows (architecture review, refactoring) have structural context.
  • File counts, directory layout, and hotspots are documented for reference.
  • Troubleshooting

    Common Issues

    Command not found Ensure all dependencies are installed and in PATH

    Permission errors Check file permissions and run with appropriate privileges

    Unexpected behavior Enable verbose logging with --verbose flag

    ⚑ When to Use

    TriggerAction
    - When exploring unfamiliar codebases to map structure before making changes.
    - As input to scope estimation for refactoring or migration work.

    πŸ“‹ Tips & Best Practices

    Common Issues

    Command not found Ensure all dependencies are installed and in PATH

    Permission errors Check file permissions and run with appropriate privileges

    Unexpected behavior Enable verbose logging with --verbose flag