material-tracker

material-tracker is a skill for Claude Code, Codex from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. It costs 27 tokens per session (2,780 once invoked), scanned A, original, MIT.

A construction-site tracker for material orders, deliveries, and inventory levels.

In plain words
What is it for?
Use it to follow suppliers, quantities, costs, required dates, delivery status, priorities, and available stock.
Why use it?
It helps teams coordinate deliveries and spot late orders or low stock before they interrupt site work.

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 follow suppliers, quantities, costs, required dates, delivery status, priorities, and available stock.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/material-tracker
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 material-tracker
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 material-tracker

README.md
[![agentmods](https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/material-tracker/github.svg)](https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/material-tracker)
Your own site
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/material-tracker"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/material-tracker/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 material-tracker

Your own site · 80×15
<a href="https://agentmods.dev/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/material-tracker"><img src="https://agentmods.dev/badge/skills/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/material-tracker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,780 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 pass 7 Sept 2026
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 $0.00027 $0.02780
Opus 5 $0.00014 $0.01390
Sonnet 5 $0.00005 $0.00556
Haiku 4.5 $0.00003 $0.00278

Measured 9d ago against content hash 4d599fe5bcf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

material-tracker 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:

1_DDC_Toolkit/Procurement/material-tracker/SKILL.md · 434 lines

How it starts

The opening of the file, as written. The whole thing — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Material Tracker

Business Case

Problem Statement

Material management challenges:

  • Tracking multiple orders
  • Coordinating deliveries
  • Avoiding stockouts
  • Managing lead times

Solution

Comprehensive material tracking system to monitor orders, deliveries, inventory, and alert on potential issues.

Technical Implementation

import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import date, timedelta
from enum import Enum


class OrderStatus(Enum):
    DRAFT = "draft"
    SUBMITTED = "submitted"
    CONFIRMED = "confirmed"
    IN_PRODUCTION = "in_production"
    SHIPPED = "shipped"
    DELIVERED = "delivered"
    PARTIAL = "partial"
    CANCELLED = "cancelled"


class PriorityLevel(Enum):
    CRITICAL = "critical"
    HIGH = "high"
    NORMAL = "normal"
    LOW = "low"


@dataclass
class MaterialOrder:
    order_id: str
    material_code: str
    material_name: str
    supplier: str
    quantity: float
    unit: str
    unit_cost: float
    total_cost: float
    order_date: date
    required_date: date
    expected_delivery: date
    actual_delivery: Optional[date]
    status: OrderStatus
    priority: PriorityLevel
    delivered_qty: float = 0
    notes: str = ""


@dataclass
class InventoryItem:
    material_code: str
    material_name: str
    current_stock: float
    unit: str
    min_stock: float
    max_stock: float
    reorder_point: float
    location: str
    last_updated: date


@dataclass
class Delivery:
    delivery_id: str
    order_id: str
    delivery_date: date
    quantity: float
    received_by: str
    condition: str  # good, damaged, partial
    notes: str = ""


class MaterialTracker:
    """Track construction materials."""

    def __init__(self, project_name: str):
        self.project_name = project_name
        self.orders: Dict[str, MaterialOrder] = {}
        self.inventory: Dict[str, InventoryItem] = {}
        self.deliveries: List[Delivery] = []

    def create_order(self,
                     order_id: str,
                     material_code: str,
                     material_name: str,
                     supplier: str,
                     quantity: float,
                     unit: str,
                     unit_cost: float,
                     required_date: date,
                     lead_time_days: int = 14,
                     priority: PriorityLevel = PriorityLevel.NORMAL) -> MaterialOrder:
        """Create new material order."""

        order = MaterialOrder(
            order_id=order_id,
            material_code=material_code,
            material_name=material_name,
            supplier=supplier,
            quantity=quantity,
            unit=unit,
            unit_cost=unit_cost,
            total_cost=round(quantity * unit_cost, 2),
            order_date=date.today(),
            required_date=required_date,
            expected_delivery=date.today() + timedelta(days=lead_time_days),
            actual_delivery=None,
            status=OrderStatus.DRAFT,
            priority=priority
        )

        self.orders[order_id] = order
        return order

    def update_order_status(self, order_id: str, status: OrderStatus):
        """Update order status."""
        if order_id in self.orders:
            self.orders[order_id].status = status

    def record_delivery(self,
                        order_id: str,
                        quantity: float,
                        received_by: str,
                        condition: str = "good",
                        notes: str = "") -> Optional[Delivery]:
        """Record material delivery."""

        if order_id not in self.orders:
            return None

        order = self.orders[order_id]

        delivery = Delivery(
            delivery_id=f"DEL-{len(self.deliveries)+1:04d}",
            order_id=order_id,
            delivery_date=date.today(),
            quantity=quantity,
            received_by=received_by,
            condition=condition,
            notes=notes
        )

        self.deliveries.append(delivery)

        # Update order
        order.delivered_qty += quantity
        order.actual_delivery = date.today()

        if order.delivered_qty >= order.quantity:
            order.status = OrderStatus.DELIVERED
        else:
            order.status = OrderStatus.PARTIAL

        # Update inventory
        if order.material_code in self.inventory:
            self.inventory[order.material_code].current_stock += quantity
            self.inventory[order.material_code].last_updated = date.today()

        return delivery

    def add_inventory_item(self,
                           material_code: str,
                           material_name: str,
                           current_stock: float,
                           unit: str,
                           min_stock: float,
                           max_stock: float,
                           location: str):
        """Add item to inventory tracking."""

        reorder_point = min_stock + (max_stock - min_stock) * 0.3

        self.inventory[material_code] = InventoryItem(
            material_code=material_code,
            material_name=material_name,
            current_stock=current_stock,
            unit=unit,
            min_stock=min_stock,
            max_stock=max_stock,
            reorder_point=reorder_point,
            location=location,
            last_updated=date.today()
        )

    def consume_material(self,
                         material_code: str,
                         quantity: float,
                         activity: str = "") -> bool:
        """Record material consumption."""

        if material_code not in self.inventory:
            return False

        item = self.inventory[material_code]
        if item.current_stock < quantity:
            return False

        item.current_stock -= quantity
        item.last_updated = date.today()
        return True

    def get_pending_orders(self) -> List[MaterialOrder]:
        """Get all pending orders."""
        return [
            o for o in self.orders.values()
            if o.status not in [OrderStatus.DELIVERED, OrderStatus.CANCELLED]
        ]

    def get_late_orders(self) -> List[Dict[str, Any]]:
        """Get orders that are late or at risk."""

        late = []
        today = date.today()

        for order in self.orders.values():
            if order.status in [OrderStatus.DELIVERED, OrderStatus.CANCELLED]:
                continue

            days_late = (today - order.expected_delivery).days

            if days_late > 0 or (order.required_date - today).days < 3:
                late.append({
                    'order_id': order.order_id,
                    'material': order.material_name,
                    'supplier': order.supplier,
                    'required_date': order.required_date,
                    'expected_delivery': order.expected_delivery,
                    'days_late': max(0, days_late),
                    'days_until_required': (order.required_date - today).days,
                    'status': order.status.value,
                    'priority': order.priority.value
                })

        return sorted(late, key=lambda x: x['days_until_required'])

    def get_low_stock_items(self) -> List[Dict[str, Any]]:
        """Get items at or below reorder point."""

        low_stock = []

        for item in self.inventory.values():
            if item.current_stock <= item.reorder_point:
                low_stock.append({
                    'material_code': item.material_code,
                    'material_name': item.material_name,
                    'current_stock': item.current_stock,
                    'reorder_point': item.reorder_point,
                    'min_stock': item.min_stock,
                    'unit': item.unit,
                    'location': item.location,
                    'urgency': 'CRITICAL' if item.current_stock <= item.min_stock else 'REORDER'
                })

        return sorted(low_stock, key=lambda x: x['current_stock'])

    def get_delivery_schedule(self, days_ahead: int = 14) -> pd.DataFrame:
        """Get expected deliveries for coming days."""

        today = date.today()
        end_date = today + timedelta(days=days_ahead)

        scheduled = []

        for order in self.orders.values():
            if order.status in [OrderStatus.DELIVERED, OrderStatus.CANCELLED]:
                continue

            if today <= order.expected_delivery <= end_date:
                scheduled.append({
                    'Date': order.expected_delivery,
                    'Order ID': order.order_id,
                    'Material': order.material_name,
                    'Quantity': order.quantity,
                    'Unit': order.unit,
                    'Supplier': order.supplier,
                    'Priority': order.priority.value
                })

        return pd.DataFrame(scheduled).sort_values('Date') if scheduled else pd.DataFrame()

    def calculate_material_cost_summary(self) -> Dict[str, Any]:
        """Calculate material cost summary."""

        total_ordered = sum(o.total_cost for o in self.orders.values())
        total_delivered = sum(
            o.delivered_qty * o.unit_cost
            for o in self.orders.values()
        )
        total_pending = total_ordered - total_delivered

        by_supplier = {}
        for order in self.orders.values():
            if order.supplier not in by_supplier:
                by_supplier[order.supplier] = 0
            by_supplier[order.supplier] += order.total_cost

        return {
            'total_ordered': round(total_ordered, 2),
            'total_delivered': round(total_delivered, 2),
            'total_pending': round(total_pending, 2),
            'order_count': len(self.orders),
            'by_supplier': by_supplier
        }

    def export_to_excel(self, output_path: str) -> str:
        """Export material tracking to Excel."""

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Orders
            orders_df = pd.DataFrame([
                {
                    'Order ID': o.order_id,
                    'Material': o.material_name,
                    'Supplier': o.supplier,
                    'Quantity': o.quantity,
                    'Unit': o.unit,
                    'Unit Cost': o.unit_cost,
                    'Total Cost': o.total_cost,
                    'Order Date': o.order_date,
                    'Required': o.required_date,
                    'Expected': o.expected_delivery,
                    'Status': o.status.value,
                    'Delivered': o.delivered_qty
                }
                for o in self.orders.values()
            ])
            orders_df.to_excel(writer, sheet_name='Orders', index=False)

            # Inventory
            if self.inventory:
                inv_df = pd.DataFrame([
                    {
                        'Code': i.material_code,
                        'Name': i.material_name,
                        'Stock': i.current_stock,
                        'Unit': i.unit,
                        'Min': i.min_stock,
                        'Max': i.max_stock,
                        'Reorder Point': i.reorder_point,
                        'Location': i.location
                    }
                    for i in self.inventory.values()
                ])
                inv_df.to_excel(writer, sheet_name='Inventory', index=False)

            # Late orders
            late = self.get_late_orders()
            if late:
                late_df = pd.DataFrame(late)
                late_df.to_excel(writer, sheet_name='Late Orders', index=False)

            # Low stock
            low = self.get_low_stock_items()
            if low:
                low_df = pd.DataFrame(low)
                low_df.to_excel(writer, sheet_name='Low Stock', index=False)

        return output_path

Read the full file on GitHub · 434 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 · 434 lines · 27 tokens per session scan A 4d599fe5bcf6

Subscribe to this mod's changes

material-tracker is a skill published in the GitHub repository datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction (310 stars, last pushed 21d ago), licensed MIT. It adds 27 tokens to every session and 2,780 once invoked, about $0.0001 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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