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Agent Skill · 开发

estimate-builder(估算生成器)

estimate-builder 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

estimate-builder 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 908。

总安装 51,013周安装 2,147GitHub Stars 公开资料未说明下载 17,863核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.1.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:estimate-builder(估算生成器)
来源仓库:https://github.com/datadrivenconstruction/estimate-builder
安装命令:
openclaw skills install estimate-builder
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install estimate-builder

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

建立建设项目估算。生成包含劳动力、材料、设备和间接费用的详细成本明细。专注于建筑项目成本计算与预算编制。通过 clawhub 安装,适用于 OpenClaw 宿主环境。适用于工程、建筑、项目管理等开发类任务。estimate-builder 属于开发类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install estimate-builder;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

estimate-builder 怎么安装?

在终端执行 openclaw skills install estimate-builder。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

estimate-builder 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

estimate-builder 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

estimate-builder 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

estimate-builder 用的人多吗?

公开数据是累计安装 51,013 次,近一周安装 2,147 次,下载 17,863 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

estimate-builder 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
estimate-builder

估算生成器 · 本页

51,013—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
estimate-builder
description
Build construction project estimates. Generate detailed cost breakdowns with labor, materials, equipment, and overhead.
homepage
https://datadrivenconstruction.io
metadata
{"openclaw":{"emoji":"📊","os":["darwin","linux","win32"],"homepage":"https://datadrivenconstruction.io","requires":{"bins":["python3"]}}}

Estimate Builder

Business Case

Problem Statement

Estimate creation challenges:

  • Complex cost structures
  • Multiple cost categories
  • Markup calculations
  • Format requirements vary

Solution

Structured estimate builder that creates professional construction estimates with proper cost categorization, markups, and export capabilities.

Technical Implementation

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


class CostCategory(Enum):
    LABOR = "labor"
    MATERIAL = "material"
    EQUIPMENT = "equipment"
    SUBCONTRACTOR = "subcontractor"
    OTHER = "other"


@dataclass
class EstimateLineItem:
    line_number: int
    wbs_code: str
    description: str
    quantity: float
    unit: str
    unit_cost: float
    category: CostCategory
    notes: str = ""

    @property
    def total_cost(self) -> float:
        return round(self.quantity * self.unit_cost, 2)


@dataclass
class CostSummary:
    labor: float = 0
    material: float = 0
    equipment: float = 0
    subcontractor: float = 0
    other: float = 0

    @property
    def direct_cost(self) -> float:
        return self.labor + self.material + self.equipment + self.subcontractor + self.other


@dataclass
class Markup:
    name: str
    rate: float  # As decimal (0.10 = 10%)
    base: str = "direct"  # "direct" or "subtotal"


class EstimateBuilder:
    """Build construction project estimates."""

    def __init__(self, project_name: str, project_number: str = ""):
        self.project_name = project_name
        self.project_number = project_number
        self.estimate_date = date.today()
        self.items: List[EstimateLineItem] = []
        self.markups: List[Markup] = []
        self._next_line = 1

    def add_item(self,
                 wbs_code: str,
                 description: str,
                 quantity: float,
                 unit: str,
                 unit_cost: float,
                 category: CostCategory = CostCategory.OTHER,
                 notes: str = "") -> EstimateLineItem:
        """Add line item to estimate."""

        item = EstimateLineItem(
            line_number=self._next_line,
            wbs_code=wbs_code,
            description=description,
            quantity=quantity,
            unit=unit,
            unit_cost=unit_cost,
            category=category,
            notes=notes
        )
        self.items.append(item)
        self._next_line += 1
        return item

    def add_markup(self, name: str, rate: float, base: str = "direct"):
        """Add markup (overhead, profit, contingency, etc.)."""
        self.markups.append(Markup(name=name, rate=rate, base=base))

    def set_standard_markups(self,
                             overhead: float = 0.15,
                             profit: float = 0.10,
                             contingency: float = 0.05):
        """Set standard construction markups."""

        self.markups = [
            Markup("General Conditions / Overhead", overhead, "direct"),
            Markup("Profit", profit, "subtotal"),
            Markup("Contingency", contingency, "subtotal")
        ]

    def get_cost_summary(self) -> CostSummary:
        """Get cost summary by category."""

        summary = CostSummary()
        for item in self.items:
            cost = item.total_cost
            if item.category == CostCategory.LABOR:
                summary.labor += cost
            elif item.category == CostCategory.MATERIAL:
                summary.material += cost
            elif item.category == CostCategory.EQUIPMENT:
                summary.equipment += cost
            elif item.category == CostCategory.SUBCONTRACTOR:
                summary.subcontractor += cost
            else:
                summary.other += cost
        return summary

    def calculate_total(self) -> Dict[str, Any]:
        """Calculate total estimate with markups."""

        summary = self.get_cost_summary()
        direct_cost = summary.direct_cost

        markups_detail = []
        subtotal = direct_cost

        for markup in self.markups:
            if markup.base == "direct":
                amount = direct_cost * markup.rate
            else:
                amount = subtotal * markup.rate

            markups_detail.append({
                'name': markup.name,
                'rate': f"{markup.rate * 100:.1f}%",
                'amount': round(amount, 2)
            })
            subtotal += amount

        return {
            'cost_summary': {
                'labor': round(summary.labor, 2),
                'material': round(summary.material, 2),
                'equipment': round(summary.equipment, 2),
                'subcontractor': round(summary.subcontractor, 2),
                'other': round(summary.other, 2),
                'direct_cost': round(direct_cost, 2)
            },
            'markups': markups_detail,
            'total_markups': round(subtotal - direct_cost, 2),
            'grand_total': round(subtotal, 2)
        }

    def get_items_by_wbs(self) -> Dict[str, List[EstimateLineItem]]:
        """Group items by WBS code prefix."""

        by_wbs = {}
        for item in self.items:
            prefix = item.wbs_code.split('.')[0] if '.' in item.wbs_code else item.wbs_code
            if prefix not in by_wbs:
                by_wbs[prefix] = []
            by_wbs[prefix].append(item)
        return by_wbs

    def import_from_df(self, df: pd.DataFrame):
        """Import line items from DataFrame."""

        for _, row in df.iterrows():
            self.add_item(
                wbs_code=str(row.get('wbs_code', '')),
                description=row['description'],
                quantity=float(row['quantity']),
                unit=row['unit'],
                unit_cost=float(row['unit_cost']),
                category=CostCategory(row.get('category', 'other').lower()),
                notes=row.get('notes', '')
            )

    def export_to_df(self) -> pd.DataFrame:
        """Export estimate to DataFrame."""

        data = []
        for item in self.items:
            data.append({
                'Line': item.line_number,
                'WBS': item.wbs_code,
                'Description': item.description,
                'Qty': item.quantity,
                'Unit': item.unit,
                'Unit Cost': item.unit_cost,
                'Total': item.total_cost,
                'Category': item.category.value,
                'Notes': item.notes
            })
        return pd.DataFrame(data)

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

        totals = self.calculate_total()

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Cover sheet
            cover_df = pd.DataFrame([{
                'Project Name': self.project_name,
                'Project Number': self.project_number,
                'Estimate Date': self.estimate_date,
                'Total Items': len(self.items),
                'Direct Cost': totals['cost_summary']['direct_cost'],
                'Grand Total': totals['grand_total']
            }])
            cover_df.to_excel(writer, sheet_name='Summary', index=False)

            # Line items
            items_df = self.export_to_df()
            items_df.to_excel(writer, sheet_name='Line Items', index=False)

            # Cost breakdown
            breakdown_df = pd.DataFrame([totals['cost_summary']])
            breakdown_df.to_excel(writer, sheet_name='Cost Breakdown', index=False)

            # Markups
            if totals['markups']:
                markups_df = pd.DataFrame(totals['markups'])
                markups_df.to_excel(writer, sheet_name='Markups', index=False)

        return output_path

    def validate(self) -> List[str]:
        """Validate estimate for common issues."""

        issues = []

        if not self.items:
            issues.append("Estimate has no line items")

        for item in self.items:
            if item.quantity <= 0:
                issues.append(f"Line {item.line_number}: Invalid quantity")
            if item.unit_cost < 0:
                issues.append(f"Line {item.line_number}: Negative unit cost")
            if not item.description:
                issues.append(f"Line {item.line_number}: Missing description")

        if not self.markups:
            issues.append("No markups defined (overhead, profit)")

        return issues

Quick Start

# Create estimate
estimate = EstimateBuilder("Office Building A", "PRJ-2024-001")

# Add line items
estimate.add_item("01.01", "Site Preparation", 5000, "SF", 2.50, CostCategory.OTHER)
estimate.add_item("03.01", "Concrete Foundation", 200, "CY", 350, CostCategory.MATERIAL)
estimate.add_item("03.02", "Foundation Formwork", 1500, "SF", 8.50, CostCategory.LABOR)
estimate.add_item("05.01", "Structural Steel", 50, "TON", 4500, CostCategory.SUBCONTRACTOR)

# Set markups
estimate.set_standard_markups(overhead=0.15, profit=0.10, contingency=0.05)

# Calculate total
result = estimate.calculate_total()
print(f"Direct Cost: ${result['cost_summary']['direct_cost']:,.2f}")
print(f"Grand Total: ${result['grand_total']:,.2f}")

Common Use Cases

1. Cost by Category

summary = estimate.get_cost_summary()
print(f"Labor: ${summary.labor:,.2f}")
print(f"Material: ${summary.material:,.2f}")

2. Export to Excel

estimate.export_to_excel("estimate_output.xlsx")

3. Validate Estimate

issues = estimate.validate()
for issue in issues:
    print(f"Warning: {issue}")

Resources

  • DDC Book: Chapter 3.1 - Cost Calculations and Estimates
  • Website: https://datadrivenconstruction.io

平台分布

OpenClaw

95.27%
按下载量换算17,018

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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