file-operations — quality + safety report

In the Skillier index (mhattingpete__file-operations) · scanned 2026-06-03 · engine: builtin+triage

A
Quality
98/100
Safety

1 heuristic flag to review

Heuristic flags from the builtin scanner, which is known to over-flag (it trips on legitimate env-reading integrations, security skills, and library .eval calls). This is NOT an authoritative malicious verdict — re-scan with SkillSpector for the authoritative result. Run the authoritative scan →

Skillproof quality grade A

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Quality notes

No explicit output format / contract
low · quality · body
→ State the expected output format (structure, sections, or schema).

About this skill

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.

📄 Read the SKILL.md
---
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.
---

# 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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Graded independently by Skillproof — nothing to sell the author. Quality is mechanical + corpus-grounded; safety flags are heuristic (builtin+triage), not a malicious verdict.