cwicr-report-generator — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited cwicr-report-generator (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Generate professional cost reports from CWICR calculations - executive summaries, detailed breakdowns, charts, and export to multiple formats.
import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
import json
@dataclass
class ReportSection:
"""Report section content."""
title: str
content: str
chart_type: Optional[str] = None
chart_data: Optional[Dict] = None
@dataclass
class CostReport:
"""Complete cost report."""
project_name: str
generated_date: datetime
total_cost: float
currency: str
sections: List[ReportSection]
line_items: List[Dict]
summary: Dict[str, Any]
class CWICRReportGenerator:
"""Generate cost estimation reports."""
def __init__(self, project_name: str = "Project",
currency: str = "USD"):
self.project_name = project_name
self.currency = currency
self.sections: List[ReportSection] = []
self.line_items: List[Dict] = []
def add_summary(self, summary_data: Dict[str, float]):
"""Add executive summary section."""
content = f"""
<div class="summary-box">
<h3>Cost Summary</h3>
<table class="summary-table">
<tr><td>Labor</td><td class="amount">${summary_data.get('labor', 0):,.2f}</td></tr>
<tr><td>Materials</td><td class="amount">${summary_data.get('material', 0):,.2f}</td></tr>
<tr><td>Equipment</td><td class="amount">${summary_data.get('equipment', 0):,.2f}</td></tr>
<tr><td>Overhead</td><td class="amount">${summary_data.get('overhead', 0):,.2f}</td></tr>
<tr><td>Profit</td><td class="amount">${summary_data.get('profit', 0):,.2f}</td></tr>
<tr class="total"><td>TOTAL</td><td class="amount">${summary_data.get('total', 0):,.2f}</td></tr>
</table>
</div>
"""
self.sections.append(ReportSection(
title="Executive Summary",
content=content,
chart_type="pie",
chart_data={
'labels': ['Labor', 'Materials', 'Equipment', 'Overhead', 'Profit'],
'values': [
summary_data.get('labor', 0),
summary_data.get('material', 0),
summary_data.get('equipment', 0),
summary_data.get('overhead', 0),
summary_data.get('profit', 0)
]
}
))
def add_breakdown_by_category(self, breakdown: Dict[str, float]):
"""Add breakdown by category section."""
rows = ""
for category, cost in sorted(breakdown.items(), key=lambda x: -x[1]):
rows += f"<tr><td>{category}</td><td class='amount'>${cost:,.2f}</td></tr>"
content = f"""
<table class="detail-table">
<thead><tr><th>Category</th><th>Cost</th></tr></thead>
<tbody>{rows}</tbody>
</table>
"""
self.sections.append(ReportSection(
title="Cost by Category",
content=content,
chart_type="bar",
chart_data={
'labels': list(breakdown.keys()),
'values': list(breakdown.values())
}
))
def add_line_items(self, items: List[Dict]):
"""Add detailed line items."""
self.line_items = items
rows = ""
for item in items[:50]: # Limit for report
rows += f"""
<tr>
<td>{item.get('code', '')}</td>
<td>{item.get('description', '')[:50]}</td>
<td>{item.get('quantity', 0):,.2f}</td>
<td>{item.get('unit', '')}</td>
<td class="amount">${item.get('unit_price', 0):,.2f}</td>
<td class="amount">${item.get('total', 0):,.2f}</td>
</tr>
"""
content = f"""
<table class="line-items">
<thead>
<tr>
<th>Code</th>
<th>Description</th>
<th>Qty</th>
<th>Unit</th>
<th>Unit Price</th>
<th>Total</th>
</tr>
</thead>
<tbody>{rows}</tbody>
</table>
"""
self.sections.append(ReportSection(
title="Line Items",
content=content
))
def generate_html(self) -> str:
"""Generate HTML report."""
sections_html = ""
for section in self.sections:
sections_html += f"""
<section class="report-section">
<h2>{section.title}</h2>
{section.content}
</section>
"""
html = f"""
<!DOCTYPE html>
<html>
<head>
<title>Cost Report - {self.project_name}</title>
<style>
body {{ font-family: 'Segoe UI', Arial, sans-serif; margin: 40px; background: #f5f5f5; }}
.report-container {{ max-width: 1200px; margin: 0 auto; background: white; padding: 40px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); }}
h1 {{ color: #2c3e50; border-bottom: 3px solid #3498db; padding-bottom: 10px; }}
h2 {{ color: #34495e; margin-top: 30px; }}
.summary-box {{ background: #ecf0f1; padding: 20px; border-radius: 8px; }}
table {{ width: 100%; border-collapse: collapse; margin: 20px 0; }}
th, td {{ padding: 12px; text-align: left; border-bottom: 1px solid #ddd; }}
th {{ background: #3498db; color: white; }}
.amount {{ text-align: right; font-family: monospace; }}
.total {{ font-weight: bold; background: #f8f9fa; }}
.line-items td {{ font-size: 0.9em; }}
.meta {{ color: #7f8c8d; font-size: 0.9em; margin-bottom: 20px; }}
</style>
</head>
<body>
<div class="report-container">
<h1>Cost Estimation Report</h1>
<div class="meta">
<p>Project: {self.project_name}</p>
<p>Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}</p>
<p>Currency: {self.currency}</p>
</div>
{sections_html}
<footer style="margin-top: 40px; color: #95a5a6; text-align: center;">
Generated by DDC CWICR | DataDrivenConstruction.io
</footer>
</div>
</body>
</html>
"""
return html
def save_html(self, output_path: str) -> str:
"""Save HTML report to file."""
html = self.generate_html()
with open(output_path, 'w', encoding='utf-8') as f:
f.write(html)
return output_path
def generate_excel(self, output_path: str) -> str:
"""Generate Excel report."""
with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
# Summary sheet
if self.sections:
summary_data = []
for section in self.sections:
if section.chart_data:
for i, label in enumerate(section.chart_data.get('labels', [])):
summary_data.append({
'Category': label,
'Amount': section.chart_data.get('values', [])[i]
})
if summary_data:
pd.DataFrame(summary_data).to_excel(
writer, sheet_name='Summary', index=False)
# Line items sheet
if self.line_items:
pd.DataFrame(self.line_items).to_excel(
writer, sheet_name='Line Items', index=False)
return output_path
def generate_json(self) -> str:
"""Generate JSON report."""
report = {
'project_name': self.project_name,
'generated_date': datetime.now().isoformat(),
'currency': self.currency,
'sections': [
{
'title': s.title,
'chart_data': s.chart_data
} for s in self.sections
],
'line_items': self.line_items
}
return json.dumps(report, indent=2)
class QuickReport:
"""Quick report generation from cost data."""
@staticmethod
def from_dataframe(df: pd.DataFrame,
project_name: str = "Project") -> CWICRReportGenerator:
"""Generate report from cost DataFrame."""
gen = CWICRReportGenerator(project_name)
# Calculate summary
summary = {
'labor': df['labor_cost'].sum() if 'labor_cost' in df.columns else 0,
'material': df['material_cost'].sum() if 'material_cost' in df.columns else 0,
'equipment': df['equipment_cost'].sum() if 'equipment_cost' in df.columns else 0,
'overhead': df['overhead_cost'].sum() if 'overhead_cost' in df.columns else 0,
'profit': df['profit_cost'].sum() if 'profit_cost' in df.columns else 0,
'total': df['total_cost'].sum() if 'total_cost' in df.columns else 0
}
gen.add_summary(summary)
# Category breakdown
if 'category' in df.columns and 'total_cost' in df.columns:
breakdown = df.groupby('category')['total_cost'].sum().to_dict()
gen.add_breakdown_by_category(breakdown)
# Line items
items = df.to_dict('records')
gen.add_line_items(items)
return gen# Create report generator
gen = CWICRReportGenerator("Office Building", currency="EUR")
# Add sections
gen.add_summary({
'labor': 125000,
'material': 350000,
'equipment': 75000,
'overhead': 82500,
'profit': 63250,
'total': 695750
})
# Save reports
gen.save_html("cost_report.html")
gen.generate_excel("cost_report.xlsx")# Quick report from cost DataFrame
report = QuickReport.from_dataframe(cost_df, "My Project")
report.save_html("quick_report.html")~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.