Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
Scanned 9/10/2026
Install to Claude Code
npx -y skills add luokai0/ai-agent-skills-by-luo-kai --skill cm-file-operations --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: file-operations
description: Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files.
author: luo-kai
---
# File Operations
Analyze files and retrieve metadata using Claude's native tools without modifying files.
## When to Use
- "analyze [file]"
- "get file info for [file]"
- "how many lines in [file]"
- "compare [file1] and [file2]"
- "file statistics"
## Core Operations
### File Size & Metadata
```bash
stat -f "%z bytes, modified %Sm" [file_path] # Single file
ls -lh [directory] # Multiple files
du -h [file_path] # Human-readable size
```
### Line Counts
```bash
wc -l [file_path] # Single file
wc -l [file1] [file2] # Multiple files
find [dir] -name "*.py" | xargs wc -l # Directory total
```
### Content Analysis
Use **Read** to analyze structure, then count functions/classes/imports.
### Pattern Search
```
Grep(pattern="^def ", output_mode="count", path="src/") # Count functions
Grep(pattern="TODO|FIXME", output_mode="content", -n=true) # Find TODOs
Grep(pattern="^import ", output_mode="count") # Count imports
```
### Find Files
```
Glob(pattern="**/*.py")
```
## Workflow Examples
### Comprehensive File Analysis
1. Get size/mod time: `stat -f "%z bytes, modified %Sm" file.py`
2. Count lines: `wc -l file.py`
3. Read file: `Read(file_path="file.py")`
4. Count functions: `Grep(pattern="^def ", output_mode="count")`
5. Count classes: `Grep(pattern="^class ", output_mode="count")`
### Compare File Sizes
1. Find files: `Glob(pattern="src/**/*.py")`
2. Get sizes: `ls -lh src/**/*.py`
3. Total size: `du -sh src/*.py`
### Code Quality Metrics
1. Total lines: `find . -name "*.py" | xargs wc -l`
2. Test files: `find . -name "test_*.py" | wc -l`
3. TODOs: `Grep(pattern="TODO|FIXME|HACK", output_mode="count")`
### Find Largest Files
```bash
find . -type f -not -path "./node_modules/*" -exec du -h {} + | sort -rh | head -20
```
## Best Practices
- **Non-destructive**: Use Read/stat/wc, never modify
- **Efficient**: Read small files fully, use Grep for large files
- **Context-aware**: Compare to project averages, suggest optimizations
## Integration
Works with:
- **code-auditor**: Comprehensive analysis
- **code-transfer**: After identifying large files
- **codebase-documenter**: Understanding file purposes
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