Publish xlsx skill to marketplace

Constraint: Public skills are published only by explicit administrator action unless they are tracked third-party market sources. Confidence: high Scope-risk: narrow Directive: Keep private/internal skills out of the public marketplace. Tested: Marketplace validation passed.
2026-06-10 21:22:02 +08:00
parent 10da163fce
commit 8b5057912b
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@@ -63,6 +63,18 @@
        "authentication": "ON_INSTALL"
      },
      "category": "文档处理"
+    },
+    {
+      "name": "xlsx",
+      "source": {
+        "source": "local",
+        "path": "./plugins/codex/plugins/xlsx"
+      },
+      "policy": {
+        "installation": "AVAILABLE",
+        "authentication": "ON_INSTALL"
+      },
+      "category": "文档处理"
    }
  ]
 }
@@ -63,6 +63,18 @@
        "authentication": "ON_INSTALL"
      },
      "category": "文档处理"
+    },
+    {
+      "name": "xlsx",
+      "source": {
+        "source": "local",
+        "path": "./plugins/xlsx"
+      },
+      "policy": {
+        "installation": "AVAILABLE",
+        "authentication": "ON_INSTALL"
+      },
+      "category": "文档处理"
    }
  ]
 }
@@ -0,0 +1,37 @@
+{
+  "name": "xlsx",
+  "version": "1.0.3",
+  "description": "一款功能完备的电子表格制作、编辑与分析工具，支持公式应用、格式设置、数据分析及数据可视化。当Claude需要使用.xlsx、.xlsm、.csv、.tsv等格式的电子表格时，该工具能够满足以下需求：(1) 创建包含公式和格式设置的新的电子表格；(2) 读取或分析数据；(3) 在保留公式的基础上修改现有电子表格；(4) 对电子表格中的数据进行分析并生成可视化结果；(5) 重新计算各类公式。",
+  "author": {
+    "name": "EAPIL",
+    "url": "https://git.playones.com/arechen/EapilSkillMarket"
+  },
+  "homepage": "https://git.playones.com/arechen/EapilSkillMarket",
+  "repository": "https://git.playones.com/arechen/EapilSkillMarket",
+  "license": "Proprietary",
+  "keywords": [
+    "eapil",
+    "codex-skill",
+    "xlsx"
+  ],
+  "skills": "./skills/",
+  "interface": {
+    "displayName": "xlsx",
+    "shortDescription": "一款功能完备的电子表格制作、编辑与分析工具，支持公式应用、格式设置、数据分析及数据可视化。当Claude需要使用.xlsx、.xlsm、.csv、.tsv等格式的电子表格时，该工具能够满足以下需求：(1) 创建包含公式和格式设置的新的电子表格；(2) 读取或分析数据；(3) 在保留公式的基础上修改现有电子表格；(4) 对电子表格中的数据进行分析并生成可视化结果；(5) 重新计算各类公式。",
+    "longDescription": "一款功能完备的电子表格制作、编辑与分析工具，支持公式应用、格式设置、数据分析及数据可视化。当Claude需要使用.xlsx、.xlsm、.csv、.tsv等格式的电子表格时，该工具能够满足以下需求：(1) 创建包含公式和格式设置的新的电子表格；(2) 读取或分析数据；(3) 在保留公式的基础上修改现有电子表格；(4) 对电子表格中的数据进行分析并生成可视化结果；(5) 重新计算各类公式。",
+    "developerName": "EAPIL",
+    "category": "文档处理",
+    "capabilities": [
+      "Read",
+      "Write"
+    ],
+    "defaultPrompt": [
+      "使用 xlsx 帮我完成这个任务。"
+    ],
+    "websiteURL": "https://git.playones.com/arechen/EapilSkillMarket",
+    "privacyPolicyURL": "https://git.playones.com/arechen/EapilSkillMarket",
+    "termsOfServiceURL": "https://git.playones.com/arechen/EapilSkillMarket",
+    "brandColor": "#2563EB",
+    "screenshots": []
+  }
+}
@@ -0,0 +1,30 @@
+© 2025 Anthropic, PBC. All rights reserved.
+
+LICENSE: Use of these materials (including all code, prompts, assets, files,
+and other components of this Skill) is governed by your agreement with
+Anthropic regarding use of Anthropic's services. If no separate agreement
+exists, use is governed by Anthropic's Consumer Terms of Service or
+Commercial Terms of Service, as applicable:
+https://www.anthropic.com/legal/consumer-terms
+https://www.anthropic.com/legal/commercial-terms
+Your applicable agreement is referred to as the "Agreement." "Services" are
+as defined in the Agreement.
+
+ADDITIONAL RESTRICTIONS: Notwithstanding anything in the Agreement to the
+contrary, users may not:
+
+- Extract these materials from the Services or retain copies of these
+  materials outside the Services
+- Reproduce or copy these materials, except for temporary copies created
+  automatically during authorized use of the Services
+- Create derivative works based on these materials
+- Distribute, sublicense, or transfer these materials to any third party
+- Make, offer to sell, sell, or import any inventions embodied in these
+  materials
+- Reverse engineer, decompile, or disassemble these materials
+
+The receipt, viewing, or possession of these materials does not convey or
+imply any license or right beyond those expressly granted above.
+
+Anthropic retains all right, title, and interest in these materials,
+including all copyrights, patents, and other intellectual property rights.
@@ -0,0 +1,390 @@
+---
+name: xlsx
+description: "Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Use when Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc.), especially on Windows and for Chinese/non-English datasets."
+license: Proprietary. LICENSE.txt has complete terms
+---
+
+# Requirements for Outputs
+
+## All Excel files
+
+### Zero Formula Errors
+- Every Excel model MUST be delivered with ZERO formula errors (#REF!, #DIV/0!, #VALUE!, #N/A, #NAME?)
+
+### Preserve Existing Templates (when updating templates)
+- Study and EXACTLY match existing format, style, and conventions when modifying files
+- Never impose standardized formatting on files with established patterns
+- Existing template conventions ALWAYS override these guidelines
+
+## Financial models
+
+### Color Coding Standards
+Unless otherwise stated by the user or existing template
+
+#### Industry-Standard Color Conventions
+- **Blue text (RGB: 0,0,255)**: Hardcoded inputs, and numbers users will change for scenarios
+- **Black text (RGB: 0,0,0)**: ALL formulas and calculations
+- **Green text (RGB: 0,128,0)**: Links pulling from other worksheets within same workbook
+- **Red text (RGB: 255,0,0)**: External links to other files
+- **Yellow background (RGB: 255,255,0)**: Key assumptions needing attention or cells that need to be updated
+
+### Number Formatting Standards
+
+#### Required Format Rules
+- **Years**: Format as text strings (e.g., "2024" not "2,024")
+- **Currency**: Use $#,##0 format; ALWAYS specify units in headers ("Revenue ($mm)")
+- **Zeros**: Use number formatting to make all zeros "-", including percentages (e.g., "$#,##0;($#,##0);-")
+- **Percentages**: Default to 0.0% format (one decimal)
+- **Multiples**: Format as 0.0x for valuation multiples (EV/EBITDA, P/E)
+- **Negative numbers**: Use parentheses (123) not minus -123
+
+### Formula Construction Rules
+
+#### Assumptions Placement
+- Place ALL assumptions (growth rates, margins, multiples, etc.) in separate assumption cells
+- Use cell references instead of hardcoded values in formulas
+- Example: Use =B5*(1+$B$6) instead of =B5*1.05
+
+#### Formula Error Prevention
+- Verify all cell references are correct
+- Check for off-by-one errors in ranges
+- Ensure consistent formulas across all projection periods
+- Test with edge cases (zero values, negative numbers)
+- Verify no unintended circular references
+
+#### Documentation Requirements for Hardcodes
+- Comment or in cells beside (if end of table). Format: "Source: [System/Document], [Date], [Specific Reference], [URL if applicable]"
+- Examples:
+  - "Source: Company 10-K, FY2024, Page 45, Revenue Note, [SEC EDGAR URL]"
+  - "Source: Company 10-Q, Q2 2025, Exhibit 99.1, [SEC EDGAR URL]"
+  - "Source: Bloomberg Terminal, 8/15/2025, AAPL US Equity"
+  - "Source: FactSet, 8/20/2025, Consensus Estimates Screen"
+
+# XLSX creation, editing, and analysis
+
+## Overview
+
+A user may ask you to create, edit, or analyze the contents of an .xlsx file. You have different tools and workflows available for different tasks.
+
+## Important Requirements
+
+**LibreOffice Required for Formula Recalculation**: You can assume LibreOffice is installed for recalculating formula values using the `recalc.py` script. The script automatically configures LibreOffice on first run.
+
+## Windows and Chinese-language defaults
+
+- Prefer `py -3` on Windows if `python` does not resolve to Python 3
+- Always quote file paths in commands: `"C:\data\Q4 report.xlsx"`
+- Before running pandas/openpyxl scripts on Windows PowerShell, set UTF-8 mode: `$env:PYTHONUTF8='1'`
+- For CSV round-trips with Chinese text, prefer UTF-8 with BOM: `encoding='utf-8-sig'`
+- For output workbooks containing Chinese text, set explicit fonts (`Microsoft YaHei`, `SimSun`) where formatting is required
+
+## Reading and analyzing data
+
+### Data analysis with pandas
+For data analysis, visualization, and basic operations, use **pandas** which provides powerful data manipulation capabilities:
+
+```python
+import pandas as pd
+
+# Read Excel
+df = pd.read_excel('file.xlsx')  # Default: first sheet
+all_sheets = pd.read_excel('file.xlsx', sheet_name=None)  # All sheets as dict
+
+# Analyze
+df.head()      # Preview data
+df.info()      # Column info
+df.describe()  # Statistics
+
+# Write Excel
+df.to_excel('output.xlsx', index=False)
+```
+
+### Handling non-English column names
+When Excel files contain non-ASCII characters (Chinese, Japanese, etc.), column names may display as garbled text in terminal output on Windows due to encoding issues. This does NOT affect data reading - pandas reads the data correctly.
+
+**Solutions:**
+
+```python
+# Option 1: Use openpyxl to read headers directly
+from openpyxl import load_workbook
+wb = load_workbook('file.xlsx')
+sheet = wb.active
+headers = [cell.value for cell in sheet[1]]
+
+# Option 2: Rename columns by position (recommended for analysis)
+df = pd.read_excel('file.xlsx')
+df.columns = ['user', 'timestamp', 'model', 'latency', 'prompt_tokens', 'completion_tokens']
+
+# Option 3: Access columns by position
+df.iloc[:, 0]  # First column
+df.iloc[:, [0, 2, 3]]  # Multiple columns by index
+```
+
+**Note for Windows users:** Terminal print output (print statements) may show encoding errors with non-ASCII characters. This is usually a console encoding issue, not a data issue. Either avoid printing non-ASCII text, use position-based column renaming, or write verification output to UTF-8 files.
+
+## Excel File Workflows
+
+## CRITICAL: Use Formulas, Not Hardcoded Values
+
+**Always use Excel formulas instead of calculating values in Python and hardcoding them.** This ensures the spreadsheet remains dynamic and updateable.
+
+### ❌ WRONG - Hardcoding Calculated Values
+```python
+# Bad: Calculating in Python and hardcoding result
+total = df['Sales'].sum()
+sheet['B10'] = total  # Hardcodes 5000
+
+# Bad: Computing growth rate in Python
+growth = (df.iloc[-1]['Revenue'] - df.iloc[0]['Revenue']) / df.iloc[0]['Revenue']
+sheet['C5'] = growth  # Hardcodes 0.15
+
+# Bad: Python calculation for average
+avg = sum(values) / len(values)
+sheet['D20'] = avg  # Hardcodes 42.5
+```
+
+### ✅ CORRECT - Using Excel Formulas
+```python
+# Good: Let Excel calculate the sum
+sheet['B10'] = '=SUM(B2:B9)'
+
+# Good: Growth rate as Excel formula
+sheet['C5'] = '=(C4-C2)/C2'
+
+# Good: Average using Excel function
+sheet['D20'] = '=AVERAGE(D2:D19)'
+```
+
+This applies to ALL calculations - totals, percentages, ratios, differences, etc. The spreadsheet should be able to recalculate when source data changes.
+
+**Locale-safe formula rule:** When writing formulas with openpyxl, use English function names and comma-separated arguments (e.g., `=SUM(A1:A10)`). Excel may display localized names in UI, but the stored formula should remain in standard Excel syntax.
+
+## Common Workflow
+1. **Choose tool**: pandas for data, openpyxl for formulas/formatting
+2. **Create/Load**: Create new workbook or load existing file
+3. **Modify**: Add/edit data, formulas, and formatting
+4. **Save**: Write to file
+5. **Recalculate formulas (MANDATORY IF USING FORMULAS)**: Use the recalc.py script
+   ```bash
+   python recalc.py output.xlsx
+   ```
+   Windows PowerShell example:
+   ```powershell
+   py -3 .\recalc.py "C:\models\finance-model.xlsx"
+   ```
+6. **Verify and fix any errors**: 
+   - The script returns JSON with error details
+   - If `status` is `errors_found`, check `error_summary` for specific error types and locations
+   - Fix the identified errors and recalculate again
+   - Common errors to fix:
+     - `#REF!`: Invalid cell references
+     - `#DIV/0!`: Division by zero
+     - `#VALUE!`: Wrong data type in formula
+     - `#NAME?`: Unrecognized formula name
+
+### Creating new Excel files
+
+```python
+# Using openpyxl for formulas and formatting
+from openpyxl import Workbook
+from openpyxl.styles import Font, PatternFill, Alignment
+
+wb = Workbook()
+sheet = wb.active
+
+# Add data
+sheet['A1'] = 'Hello'
+sheet['B1'] = 'World'
+sheet.append(['Row', 'of', 'data'])
+
+# Add formula
+sheet['B2'] = '=SUM(A1:A10)'
+
+# Formatting
+sheet['A1'].font = Font(name='Microsoft YaHei', bold=True, color='FF0000')
+sheet['A1'].fill = PatternFill('solid', start_color='FFFF00')
+sheet['A1'].alignment = Alignment(horizontal='center')
+
+# Column width
+sheet.column_dimensions['A'].width = 20
+
+wb.save('output.xlsx')
+```
+
+### Editing existing Excel files
+
+```python
+# Using openpyxl to preserve formulas and formatting
+from openpyxl import load_workbook
+
+# Load existing file
+wb = load_workbook('existing.xlsx')
+sheet = wb.active  # or wb['SheetName'] for specific sheet
+
+# Working with multiple sheets
+for sheet_name in wb.sheetnames:
+    sheet = wb[sheet_name]
+    print(f"Sheet: {sheet_name}")
+
+# Modify cells
+sheet['A1'] = 'New Value'
+sheet.insert_rows(2)  # Insert row at position 2
+sheet.delete_cols(3)  # Delete column 3
+
+# Add new sheet
+new_sheet = wb.create_sheet('NewSheet')
+new_sheet['A1'] = 'Data'
+
+wb.save('modified.xlsx')
+```
+
+### Reading multiple sheets
+
+```python
+# Using pandas - all sheets as dict
+all_sheets = pd.read_excel('file.xlsx', sheet_name=None)
+df1 = all_sheets['Sheet1']
+df2 = all_sheets['Sheet2']
+
+# Using pandas - specific sheets
+df = pd.read_excel('file.xlsx', sheet_name='Sheet1')
+multiple = pd.read_excel('file.xlsx', sheet_name=['Sheet1', 'Sheet2'])
+
+# Using openpyxl - iterate sheets
+wb = load_workbook('file.xlsx')
+for sheet_name in wb.sheetnames:
+    sheet = wb[sheet_name]
+    # Process each sheet
+```
+
+## Recalculating formulas
+
+Excel files created or modified by openpyxl contain formulas as strings but not calculated values. Use the provided `recalc.py` script to recalculate formulas:
+
+```bash
+python recalc.py <excel_file> [timeout_seconds]
+```
+
+Example:
+```bash
+python recalc.py output.xlsx 30
+```
+
+The script:
+- Automatically sets up LibreOffice macro on first run
+- Recalculates all formulas in all sheets
+- Scans ALL cells for Excel errors (#REF!, #DIV/0!, etc.)
+- Returns JSON with detailed error locations and counts
+- Works on Windows, Linux, and macOS
+
+## Formula Verification Checklist
+
+Quick checks to ensure formulas work correctly:
+
+### Essential Verification
+- [ ] **Test 2-3 sample references**: Verify they pull correct values before building full model
+- [ ] **Column mapping**: Confirm Excel columns match (e.g., column 64 = BL, not BK)
+- [ ] **Row offset**: Remember Excel rows are 1-indexed (DataFrame row 5 = Excel row 6)
+
+### Common Pitfalls
+- [ ] **NaN handling**: Check for null values with `pd.notna()`
+- [ ] **Far-right columns**: FY data often in columns 50+ 
+- [ ] **Multiple matches**: Search all occurrences, not just first
+- [ ] **Division by zero**: Check denominators before using `/` in formulas (#DIV/0!)
+- [ ] **Wrong references**: Verify all cell references point to intended cells (#REF!)
+- [ ] **Cross-sheet references**: Use correct format (Sheet1!A1) for linking sheets
+
+### Formula Testing Strategy
+- [ ] **Start small**: Test formulas on 2-3 cells before applying broadly
+- [ ] **Verify dependencies**: Check all cells referenced in formulas exist
+- [ ] **Test edge cases**: Include zero, negative, and very large values
+
+### Interpreting recalc.py Output
+The script returns JSON with error details:
+```json
+{
+  "status": "success",           // or "errors_found"
+  "total_errors": 0,              // Total error count
+  "total_formulas": 42,           // Number of formulas in file
+  "error_summary": {              // Only present if errors found
+    "#REF!": {
+      "count": 2,
+      "locations": ["Sheet1!B5", "Sheet1!C10"]
+    }
+  }
+}
+```
+
+## Best Practices
+
+### Library Selection
+- **pandas**: Best for data analysis, bulk operations, and simple data export
+- **openpyxl**: Best for complex formatting, formulas, and Excel-specific features
+
+### Working with openpyxl
+- Cell indices are 1-based (row=1, column=1 refers to cell A1)
+- Use `data_only=True` to read calculated values: `load_workbook('file.xlsx', data_only=True)`
+- **Warning**: If opened with `data_only=True` and saved, formulas are replaced with values and permanently lost
+- For large files: Use `read_only=True` for reading or `write_only=True` for writing
+- Formulas are preserved but not evaluated - use recalc.py to update values
+
+### Working with pandas
+- Specify data types to avoid inference issues: `pd.read_excel('file.xlsx', dtype={'id': str})`
+- For large files, read specific columns: `pd.read_excel('file.xlsx', usecols=['A', 'C', 'E'])`
+- Handle dates properly: `pd.read_excel('file.xlsx', parse_dates=['date_column'])`
+
+### Data visualization and reporting workflow
+When analyzing Excel data and generating reports (HTML, dashboards, etc.):
+
+```python
+import pandas as pd
+import json
+
+# 1. Read and prepare data
+df = pd.read_excel('data.xlsx')
+df.columns = ['col1', 'col2', 'col3']  # Rename if needed
+df['date'] = pd.to_datetime(df['date'])
+
+# 2. Aggregate and analyze
+daily_stats = df.groupby('date').agg({'value': ['sum', 'mean']})
+summary = {
+    'total': len(df),
+    'avg': df['value'].mean(),
+}
+
+# 3. Generate output with f-strings (avoids template formatting conflicts)
+html = f'''<!DOCTYPE html>
+<html>
+<head>
+    <title>Report</title>
+    <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
+</head>
+<body>
+    <h1>Total: {summary['total']:,}</h1>
+    <script>
+        const data = {json.dumps(summary)};
+        // Chart.js code here
+    </script>
+</body>
+</html>'''
+
+with open('report.html', 'w', encoding='utf-8') as f:
+    f.write(html)
+```
+
+**Key points:**
+- Use f-strings for HTML templates to avoid format string conflicts
+- Double braces `{{` in JavaScript/CSS to escape them in f-strings
+- Use `encoding='utf-8'` when writing HTML files
+- Convert data to JSON with `json.dumps()` for embedding in JavaScript
+
+## Code Style Guidelines
+**IMPORTANT**: When generating Python code for Excel operations:
+- Write minimal, concise Python code without unnecessary comments
+- Avoid verbose variable names and redundant operations
+- Avoid unnecessary print statements
+
+**For Excel files themselves**:
+- Add comments to cells with complex formulas or important assumptions
+- Document data sources for hardcoded values
+- Include notes for key calculations and model sections
@@ -0,0 +1,227 @@
+#!/usr/bin/env python3
+"""
+Excel Formula Recalculation Script
+Recalculates all formulas in an Excel file using LibreOffice
+"""
+
+import json
+import os
+import platform
+import shutil
+import subprocess
+import sys
+from pathlib import Path
+
+from openpyxl import load_workbook
+
+
+def resolve_soffice_binary():
+    """Find a working LibreOffice executable."""
+    candidates = ["soffice", "soffice.com", "soffice.exe"]
+    if platform.system() == "Windows":
+        candidates = ["soffice.com", "soffice.exe", "soffice"]
+
+    for name in candidates:
+        binary = shutil.which(name)
+        if binary:
+            return binary
+
+    if platform.system() == "Windows":
+        possible_roots = [
+            os.environ.get("ProgramFiles"),
+            os.environ.get("ProgramFiles(x86)"),
+        ]
+        for root in possible_roots:
+            if not root:
+                continue
+            for rel in [
+                "LibreOffice/program/soffice.com",
+                "LibreOffice/program/soffice.exe",
+            ]:
+                candidate = Path(root) / rel
+                if candidate.exists():
+                    return str(candidate)
+
+    return None
+
+
+def get_macro_dir():
+    """Return the LibreOffice macro directory for the current OS."""
+    system = platform.system()
+    if system == "Darwin":
+        return Path.home() / "Library/Application Support/LibreOffice/4/user/basic/Standard"
+    if system == "Windows":
+        appdata = os.environ.get("APPDATA")
+        if appdata:
+            return Path(appdata) / "LibreOffice/4/user/basic/Standard"
+        return Path.home() / "AppData/Roaming/LibreOffice/4/user/basic/Standard"
+    return Path.home() / ".config/libreoffice/4/user/basic/Standard"
+
+
+def setup_libreoffice_macro(soffice_binary):
+    """Setup LibreOffice macro for recalculation if not already configured."""
+    macro_dir = get_macro_dir()
+    macro_file = macro_dir / "Module1.xba"
+
+    if macro_file.exists():
+        existing = macro_file.read_text(encoding="utf-8", errors="ignore")
+        if "RecalculateAndSave" in existing:
+            return True
+
+    if not macro_dir.exists():
+        try:
+            subprocess.run(
+                [soffice_binary, "--headless", "--terminate_after_init"],
+                capture_output=True,
+                check=False,
+                timeout=20,
+                text=True,
+            )
+        except Exception:
+            pass
+        macro_dir.mkdir(parents=True, exist_ok=True)
+
+    macro_content = """<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE script:module PUBLIC "-//OpenOffice.org//DTD OfficeDocument 1.0//EN" "module.dtd">
+<script:module xmlns:script="http://openoffice.org/2000/script" script:name="Module1" script:language="StarBasic">
+    Sub RecalculateAndSave()
+      ThisComponent.calculateAll()
+      ThisComponent.store()
+      ThisComponent.close(True)
+    End Sub
+</script:module>"""
+
+    try:
+        macro_file.write_text(macro_content, encoding="utf-8")
+        return True
+    except Exception:
+        return False
+
+
+def recalc(filename, timeout=30):
+    """
+    Recalculate formulas in Excel file and report any errors.
+
+    Args:
+        filename: Path to Excel file
+        timeout: Maximum time to wait for recalculation (seconds)
+
+    Returns:
+        dict with error locations and counts
+    """
+    file_path = Path(filename).expanduser()
+    if not file_path.exists():
+        return {"error": f"File {filename} does not exist"}
+
+    soffice_binary = resolve_soffice_binary()
+    if not soffice_binary:
+        return {
+            "error": (
+                "LibreOffice executable not found. Install LibreOffice and ensure "
+                "`soffice` (or `soffice.com` on Windows) is on PATH."
+            )
+        }
+
+    if not setup_libreoffice_macro(soffice_binary):
+        return {"error": "Failed to setup LibreOffice macro"}
+
+    cmd = [
+        soffice_binary,
+        "--headless",
+        "--norestore",
+        "vnd.sun.star.script:Standard.Module1.RecalculateAndSave?language=Basic&location=application",
+        str(file_path.resolve()),
+    ]
+
+    try:
+        run_result = subprocess.run(
+            cmd,
+            capture_output=True,
+            text=True,
+            check=False,
+            timeout=timeout,
+        )
+    except subprocess.TimeoutExpired:
+        return {"error": f"Recalculation timed out after {timeout} seconds"}
+
+    if run_result.returncode != 0:
+        error_msg = (run_result.stderr or run_result.stdout or "Unknown error during recalculation").strip()
+        if "Module1" in error_msg or "RecalculateAndSave" in error_msg or "Basic" in error_msg:
+            return {
+                "error": "LibreOffice macro not configured properly",
+                "details": error_msg,
+            }
+        return {"error": error_msg}
+
+    try:
+        wb_values = load_workbook(file_path, data_only=True)
+
+        excel_errors = ["#VALUE!", "#DIV/0!", "#REF!", "#NAME?", "#NULL!", "#NUM!", "#N/A"]
+        error_details = {err: [] for err in excel_errors}
+        total_errors = 0
+
+        for sheet_name in wb_values.sheetnames:
+            ws = wb_values[sheet_name]
+            for row in ws.iter_rows():
+                for cell in row:
+                    if cell.value is None or not isinstance(cell.value, str):
+                        continue
+                    for err in excel_errors:
+                        if err in cell.value:
+                            error_details[err].append(f"{sheet_name}!{cell.coordinate}")
+                            total_errors += 1
+                            break
+
+        wb_values.close()
+
+        result = {
+            "status": "success" if total_errors == 0 else "errors_found",
+            "total_errors": total_errors,
+            "error_summary": {},
+        }
+
+        for err_type, locations in error_details.items():
+            if locations:
+                result["error_summary"][err_type] = {
+                    "count": len(locations),
+                    "locations": locations[:20],
+                }
+
+        wb_formulas = load_workbook(file_path, data_only=False)
+        formula_count = 0
+        for sheet_name in wb_formulas.sheetnames:
+            ws = wb_formulas[sheet_name]
+            for row in ws.iter_rows():
+                for cell in row:
+                    if isinstance(cell.value, str) and cell.value.startswith("="):
+                        formula_count += 1
+        wb_formulas.close()
+
+        result["total_formulas"] = formula_count
+        return result
+
+    except Exception as exc:
+        return {"error": str(exc)}
+
+
+def main():
+    if len(sys.argv) < 2:
+        print("Usage: python recalc.py <excel_file> [timeout_seconds]")
+        print("\nRecalculates all formulas in an Excel file using LibreOffice")
+        print("\nReturns JSON with error details:")
+        print("  - status: 'success' or 'errors_found'")
+        print("  - total_errors: Total number of Excel errors found")
+        print("  - total_formulas: Number of formulas in the file")
+        print("  - error_summary: Breakdown by error type with locations")
+        print("    - #VALUE!, #DIV/0!, #REF!, #NAME?, #NULL!, #NUM!, #N/A")
+        sys.exit(1)
+
+    filename = sys.argv[1]
+    timeout = int(sys.argv[2]) if len(sys.argv) > 2 else 30
+
+    result = recalc(filename, timeout)
+    print(json.dumps(result, indent=2, ensure_ascii=False))
+
+
+if __name__ == "__main__":
+    main()