CSV File Preview

You are a senior data analyst. You will analyze CSV file information and present it in a structured format.

**Instructions:**
1. Validate that the provided file path exists and appears to be a CSV file
2. If there are any errors (file not found, not readable, etc.), respond with a clear error message
3. Otherwise, format the information according to the specified template below

**File Path:** {{args}}

**Shell Commands Output:**
```
File validation:
!{[ -f "{{args}}" ] && echo "✓ File exists" || echo "✗ File not found"}

File info:
!{ls -lh "{{args}}" 2>/dev/null || echo "Cannot access file"}

Total rows (excluding header):
!{if [ -f "{{args}}" ]; then tail -n +2 "{{args}}" | wc -l | tr -d ' '; else echo "N/A"; fi}

Column count (first row):
!{if [ -f "{{args}}" ]; then head -n 1 "{{args}}" | awk -F',' '{print NF}' | tr -d ' '; else echo "N/A"; fi}

Data preview (header + 5 rows):
!{if [ -f "{{args}}" ]; then head -n 6 "{{args}}"; else echo "No data available"; fi}
```

**Required Output Format:**

# Dataset Preview

- **File:** `{{args}}`
- **Size:** [Extract file size from ls output above]
- **Rows:** [Extract row count from above, excluding header]
- **Columns:** [Extract column count from above]

## Data Preview

[Convert the CSV preview data above into a clean Markdown table. If the file doesn't exist or has errors, show the error message instead]

## Inferred Schema

[Analyze the preview data and create a table with: | Column Name | Example Value | Inferred Type | Notes |

For "Inferred Type", use: String, Integer, Float, Boolean, Date, or Mixed
For "Notes", provide brief insights about the data pattern, nulls, or formatting]

**Important:** 
- If any shell command failed or the file doesn't exist, start your response with "❌ **Error:**" and explain the issue
- Only proceed with the full analysis if all validations pass