docx-construction

docx-construction is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 30 tokens per session (2,556 once invoked), scanned A, original, MIT.

A tool for generating Word documents from templates and project data. It supports construction documents such as contracts, proposals, reports, specifications, and transmittals.

In plain words
What is it for?
Use it to create project-specific subcontracts, contracts, proposals, reports, specifications, and transmittals.
Why use it?
It removes repetitive copying and formatting when producing similar documents for different projects. Templates help keep required information in a consistent structure.

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 project-specific subcontracts, contracts, proposals, reports, specifications, and transmittals.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-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 datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill docx-construction
Clone the repo
git clone --depth 1 https://github.com/datadrivenconstruction/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 docx-construction

README.md
[![agentmods](https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-construction/github.svg)](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/docx-construction)
Your own site
<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.

agentmods 80×15 button for docx-construction

Your own site · 80×15
<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>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,556 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
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.
How audits are shown
Origin original No closer match found 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 $0.02556
Opus 5 $0.00015 $0.01278
Sonnet 5 $0.00006 $0.00511
Haiku 4.5 $0.00003 $0.00256

Measured 9d ago against content hash 89146f57e1c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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 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

Copies of this mod

1 near-identical copy found in the catalogue:

4_DDC_Curated/Document-Generation/docx-construction/SKILL.md · 314 lines

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

Read the full file on GitHub · 314 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 · 314 lines · 30 tokens per session scan A 89146f57e1c5

Subscribe to this mod's changes

docx-construction is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (312 stars, last pushed 21d ago), licensed MIT. It adds 30 tokens to every session and 2,556 once invoked, about $0.0002 per session on Opus 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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