xlsx-construction

xlsx-construction is a skill for Claude Code, Codex from jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction. It costs 30 tokens per session (2,108 once invoked), scanned A, a copy of xlsx-construction, MIT.

Spreadsheet support for construction estimates, schedules, tracking logs, and quantity takeoffs, including formulas, formatting, and analysis.

In plain words
What is it for?
Use it to create and process Excel files for cost estimates, schedules, logs, and quantity measurements.
Why use it?
It reduces manual spreadsheet work and helps organise construction calculations and records.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to create and process Excel files for cost estimates, schedules, logs, and quantity measurements.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/xlsx-construction
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction --skill xlsx-construction
Clone the repo
git clone --depth 1 https://github.com/jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for xlsx-construction

README.md
[![agentmods](https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/xlsx-construction/github.svg)](https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/xlsx-construction)
Your own site
<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/xlsx-construction"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/xlsx-construction/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for xlsx-construction

Your own site · 80×15
<a href="https://agentmods.dev/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/xlsx-construction"><img src="https://agentmods.dev/badge/skills/jdmorag97-rgb/ddc_skills_for_ai_agents_in_construction/xlsx-construction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,108 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.02108
Opus 5 $0.00015 $0.01054
Sonnet 5 $0.00006 $0.00422
Haiku 4.5 $0.00003 $0.00211

Measured 9d ago against content hash b951bf13e2ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

xlsx-construction scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to xlsx-construction — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

4_DDC_Curated/Document-Generation/xlsx-construction/SKILL.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Excel Processing for Construction

Overview

Adapted from Anthropic's XLSX skill for construction spreadsheet workflows.

Construction Use Cases

1. Cost Estimate Template

from openpyxl import Workbook
from openpyxl.styles import Font, Alignment, Border, Side, PatternFill
from openpyxl.utils import get_column_letter

def create_estimate_template(output_path: str, project_name: str):
    """Create construction cost estimate template."""
    wb = Workbook()
    ws = wb.active
    ws.title = "Cost Estimate"

    # Styles
    header_font = Font(bold=True, size=12)
    currency_format = '$#,##0.00'
    thin_border = Border(
        left=Side(style='thin'),
        right=Side(style='thin'),
        top=Side(style='thin'),
        bottom=Side(style='thin')
    )
    header_fill = PatternFill(start_color="4472C4", end_color="4472C4", fill_type="solid")

    # Project header
    ws['A1'] = "CONSTRUCTION COST ESTIMATE"
    ws['A1'].font = Font(bold=True, size=16)
    ws['A2'] = f"Project: {project_name}"
    ws['A3'] = "Date:"
    ws['B3'] = "=TODAY()"

    # Column headers (row 5)
    headers = ['CSI Code', 'Description', 'Quantity', 'Unit', 'Unit Cost',
               'Labor', 'Material', 'Equipment', 'Total']
    for col, header in enumerate(headers, 1):
        cell = ws.cell(row=5, column=col, value=header)
        cell.font = Font(bold=True, color="FFFFFF")
        cell.fill = header_fill
        cell.border = thin_border
        cell.alignment = Alignment(horizontal='center')

    # Set column widths
    widths = [12, 40, 10, 8, 12, 12, 12, 12, 14]
    for i, width in enumerate(widths, 1):
        ws.column_dimensions[get_column_letter(i)].width = width

    # Sample data rows with formulas
    for row in range(6, 26):  # 20 empty rows
        # Total formula: Labor + Material + Equipment
        ws.cell(row=row, column=9,
                value=f"=SUM(F{row}:H{row})")

        # Apply borders
        for col in range(1, 10):
            ws.cell(row=row, column=col).border = thin_border

    # Currency formatting
    for col in [5, 6, 7, 8, 9]:  # Cost columns
        for row in range(6, 26):
            ws.cell(row=row, column=col).number_format = currency_format

    # Subtotals section
    ws['G27'] = "SUBTOTAL"
    ws['I27'] = "=SUM(I6:I25)"
    ws['I27'].number_format = currency_format

    ws['G28'] = "Contingency (10%)"
    ws['I28'] = "=I27*0.10"

    ws['G29'] = "TOTAL"
    ws['I29'] = "=I27+I28"
    ws['I29'].font = Font(bold=True, size=14)

    wb.save(output_path)
    return output_path

Read the full file on GitHub · 266 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 266 lines · 30 tokens per session scan A b951bf13e2ba

Subscribe to this mod's changes

xlsx-construction is a skill published in the GitHub repository jdmorag97-rgb/DDC_Skills_for_AI_Agents_in_Construction (2 stars, last pushed 6mo ago), licensed MIT. It adds 30 tokens to every session and 2,108 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to xlsx-construction, differing in 0 lines, and is treated as a copy.