Cost Estimation Resource
Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.
Rank
62
Safety
84
Downloads
1.0k
Updated
Oct 11, 2026
Version
2.1.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1K downloads reported by the source. Last updated 10/11/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 11, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 11, 2026
- Adoption signal
- 1K downloadsadoption · observed Oct 11, 2026
- Latest release
- 2.1.0release · observed Feb 13, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s1774mv3t1cm8r1kgs9hccdnmn8852nb:cost-estimation-resource- Install using `clawhub skill install s1774mv3t1cm8r1kgs9hccdnmn8852nb:cost-estimation-resource` in an isolated environment before connecting it to live workloads.
- No published capability contract is available yet, so validate auth and request/response behavior manually.
- Review the upstream CLAWHUB listing at https://clawhub.ai/datadrivenconstruction/cost-estimation-resource before using production credentials.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-datadrivenconstruction-cost-estimation-resource/snapshot"
Run-check
$0.02 USD1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.
Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.
Documentation
CLAWHUB
44,844 characters of source documentation, loaded on request.
Extracted files
4 files captured from the source.
SKILL.md
---
name: "cost-estimation-resource"
description: "Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices."
homepage: "https://datadrivenconstruction.io"
metadata: {"openclaw":{"emoji":"🧮","os":["darwin","linux","win32"],"homepage":"https://datadrivenconstruction.io","requires":{"bins":["python3"]}}}
---
# Cost Estimation - Resource Method
## Business Case
### Problem Statement
Traditional costing challenges:
- Fixed unit prices become outdated
- No visibility into cost components
- Difficult to adjust for conditions
- Limited cost analysis capability
### Solution
Resource-based costing separates physical resource consumption (norms) from prices, enabling accurate, adjustable, and transparent cost estimation.
## Technical Implementation
```python
import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from enum import Enum
class ResourceType(Enum):
LABOR = "labor"
MATERIAL = "material"
EQUIPMENT = "equipment"
SUBCONTRACTOR = "subcontractor"
@dataclass
class Resource:
code: str
name: str
resource_type: ResourceType
unit: str
unit_price: float
currency: str = "USD"
@dataclass
class ResourceNorm:
resource_code: str
consumption: float # Units per work item unit
waste_factor: float = 1.0 # 1.1 = 10% waste
@dataclass
class WorkItem:
code: str
name: str
unit: str
resources: List[ResourceNorm] = field(default_factory=list)
@dataclass
class CostLineItem:
work_item_code: str
work_item_name: str
quantity: float
unit: str
labor_cost: float
material_cost: float
equipment_cost: float
subcontractor_cost: float
total_cost: float
class ResourceBasedEstimator:
"""Calculate costs using resource-based method."""
def __init__(self):
self.resources: Dict[str, Resource] = {}
self.work_items: Dict[str, WorkItem] = {}
self.overhead_rate: float = 0.15
self.profit_rate: float = 0.10
def add_resource(self, resource: Resource):
"""Add resource to database."""
self.resources[resource.code] = resource
def add_work_item(self, work_item: WorkItem):
"""Add work item with resource norms."""
self.work_items[work_item.code] = work_item
def load_resources_from_df(self, df: pd.DataFrame):
"""Load resources from DataFrame."""
for _, row in df.iterrows():
resource = Resource(
code=row['code'],
name=row['name'],
resource_type=ResourceType(row['type'].lower()),
unit=row['unit'],
unit_price=float(row['unit_price']),
currency=row.get('currency', 'USD')
)
self.add_resource(resource)
def load_w_meta.json
{
"ownerId": "kn75fhjxn1jz5xbgd9ggj0nrtd80q1dz",
"slug": "cost-estimation-resource",
"version": "2.1.0",
"publishedAt": 1771016268147
}instructions.md
You are a construction cost estimation assistant specializing in resource-based costing. You separate physical resource consumption (norms) from prices, enabling accurate, adjustable, and transparent cost estimation. When the user asks to estimate costs using resources: 1. Gather work item descriptions and quantities 2. Define resources: labor (man-hours), materials (units), equipment (hours) 3. Apply consumption norms (how much of each resource per unit of work) 4. Include waste factors where applicable (e.g., 5% concrete waste) 5. Calculate costs: quantity x consumption norm x waste factor x unit price 6. Apply overhead and profit markups 7. Present detailed breakdown by resource type When the user asks to adjust or compare estimates: 1. Apply regional cost factors to all or specific resource types 2. Adjust labor, material, or equipment prices independently 3. Show before/after comparison ## Input Format - Work items with quantities and units - Resource database: code, name, type (labor/material/equipment), unit, unit price - Resource norms: consumption per work item unit, waste factor ## Output Format - Cost breakdown: labor, material, equipment, subcontractor - Percentage split by category - Overhead, profit, and grand total - Detailed resource breakdown per work item on request ## Key Classes (from SKILL.md) - `ResourceBasedEstimator`: Main estimator engine - `Resource`: Individual resource (labor, material, equipment) - `ResourceNorm`: Consumption rate per work item unit - `WorkItem`: Work activity with associated resource norms ## Constraints - Default overhead: 15%, profit: 10% - Always show resource type breakdown (labor vs material vs equipment %) - Waste factors default to 1.0 (no waste) unless specified - Round costs to 2 decimal places
claw.json
{
"name": "cost-estimation-resource",
"version": "2.0.0",
"description": "Calculate construction costs using resource-based method. Estimate project costs from work items, physical resource norms, and current prices.",
"author": "datadrivenconstruction",
"license": "MIT",
"permissions": ["filesystem"],
"entry": "instructions.md",
"tags": ["construction", "estimation", "resource-method", "cost-management", "norms"],
"models": ["claude-*", "gpt-*"],
"minOpenClawVersion": "0.8.0"
}AionUi
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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