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.
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill docx-constructiongit clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_ConstructionWrote 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.
[](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-construction)<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-construction"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-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.
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-construction"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-construction.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 3 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.02556 |
| Opus 5.5 | $0.00012 | $0.01022 |
| Sonnet 5.5 | $0.00006 | $0.00511 |
| Haiku 4.5 | $0.00003 | $0.00256 |
Grade A, and why
docx-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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- docx-construction — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 314 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Word Document Generation for Construction
Overview
Create professional Word documents for construction workflows using python-docx. Generate contracts, proposals, reports, and specifications from templates with dynamic data.
Construction Use Cases
1. Contract Generation
Generate construction contracts from templates with project-specific data.
from docx import Document
from docx.shared import Inches, Pt
from docx.enum.text import WD_ALIGN_PARAGRAPH
from datetime import datetime
def generate_subcontract(template_path: str, contract_data: dict, output_path: str) -> str:
"""Generate subcontract from template."""
doc = Document(template_path)
# Replace placeholders
replacements = {
'{{PROJECT_NAME}}': contract_data['project_name'],
'{{CONTRACT_NUMBER}}': contract_data['contract_number'],
'{{SUBCONTRACTOR_NAME}}': contract_data['subcontractor'],
'{{SCOPE_OF_WORK}}': contract_data['scope'],
'{{CONTRACT_VALUE}}': f"${contract_data['value']:,.2f}",
'{{START_DATE}}': contract_data['start_date'],
'{{END_DATE}}': contract_data['end_date'],
'{{RETENTION_PERCENT}}': f"{contract_data['retention']}%",
}
for paragraph in doc.paragraphs:
for key, value in replacements.items():
if key in paragraph.text:
paragraph.text = paragraph.text.replace(key, value)
# Also check tables
for table in doc.tables:
for row in table.rows:
for cell in row.cells:
for key, value in replacements.items():
if key in cell.text:
cell.text = cell.text.replace(key, value)
doc.save(output_path)
return output_path
2. Proposal Document
Create professional project proposals.
def create_proposal(project_info: dict, scope_items: list, pricing: dict) -> Document:
"""Create construction proposal document."""
doc = Document()
# Title
title = doc.add_heading('Project Proposal', 0)
title.alignment = WD_ALIGN_PARAGRAPH.CENTER
# Project Info
doc.add_heading('Project Information', level=1)
doc.add_paragraph(f"Project: {project_info['name']}")
doc.add_paragraph(f"Location: {project_info['location']}")
doc.add_paragraph(f"Client: {project_info['client']}")
doc.add_paragraph(f"Date: {datetime.now().strftime('%B %d, %Y')}")
# Scope of Work
doc.add_heading('Scope of Work', level=1)
for item in scope_items:
doc.add_paragraph(item, style='List Bullet')
# Pricing Table
doc.add_heading('Pricing Summary', level=1)
table = doc.add_table(rows=1, cols=3)
table.style = 'Table Grid'
# Headers
headers = table.rows[0].cells
headers[0].text = 'Description'
headers[1].text = 'Quantity'
headers[2].text = 'Amount'
# Add line items
for item in pricing['line_items']:
row = table.add_row().cells
row[0].text = item['description']
row[1].text = str(item['quantity'])
row[2].text = f"${item['amount']:,.2f}"
# Total row
total_row = table.add_row().cells
total_row[0].text = 'TOTAL'
total_row[2].text = f"${pricing['total']:,.2f}"
# Terms
doc.add_heading('Terms & Conditions', level=1)
doc.add_paragraph(f"Payment Terms: {pricing.get('payment_terms', 'Net 30')}")
doc.add_paragraph(f"Validity: {pricing.get('validity', '30 days')}")
return doc
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.
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.
- 1mo ago First seen · 314 lines · 30 tokens per session scan A 89146f57e1c5
docx-construction is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (374 stars, last pushed 8d ago), licensed MIT. It adds 30 tokens to every session and 2,556 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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