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Agent Skill · 开发

cwicr-overhead-markup(CWICR 开销标记)

cwicr-overhead-markup 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

cwicr-overhead-markup 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为权限未标注;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 17,643。

总安装 392周安装 16GitHub Stars 111下载 127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
unknown

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:cwicr-overhead-markup(CWICR 开销标记)
来源仓库:https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction
仓库路径:skills/cwicr-overhead-markup
安装命令:
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill cwicr-overhead-markup
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction --skill cwicr-overhead-markup

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。

CWICR 开销标记工具系统化添加管理费、利润与保险等间接成本。适用于完整报价构成分析与客户类型差异化费率设置。支持透明化展示各层级加价明细,增强报价可信度。应根据项目规模与合同要求选择合适费率,避免重复计取。cwicr-overhead-markup 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/cwicr-overhead-markup

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agent…;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

    权限没有明确标注,第一次使用时只给一个无关紧要的任务,观察它到底读了哪些文件和网络。

常见问题

6 条

cwicr-overhead-markup 怎么安装?

在终端执行 npx skills add https://github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_const…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cwicr-overhead-markup 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

cwicr-overhead-markup 需要什么权限?

权限级别没有明确标注。第一次使用时建议只给无关紧要的任务,观察它实际读写了哪些内容。

cwicr-overhead-markup 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cwicr-overhead-markup 用的人多吗?

公开数据是累计安装 392 次,近一周安装 16 次,下载 127 次,GitHub 111 星。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。

cwicr-overhead-markup 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

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 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

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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 Codex,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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
cwicr-overhead-markup

CWICR 开销标记 · 本页

392111权限未标注未明确通过

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

CWICR Overhead & Markup Calculator

Business Case

Problem Statement

Direct costs need additional markups:

  • General overhead (office, insurance)
  • Project overhead (site costs)
  • Profit margins
  • Bonds and insurance

Solution

Systematic markup application to CWICR direct costs with configurable rates for overhead, profit, bonds, and other indirect costs.

Business Value

  • Complete pricing - From cost to selling price
  • Configurable rates - By project/client type
  • Transparency - Clear markup breakdown
  • Consistency - Standard markup application

Technical Implementation

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

class MarkupType(Enum):
    """Types of markup."""
    OVERHEAD = "overhead"
    PROFIT = "profit"
    BOND = "bond"
    INSURANCE = "insurance"
    CONTINGENCY = "contingency"
    TAX = "tax"
    ESCALATION = "escalation"
    CUSTOM = "custom"

class MarkupMethod(Enum):
    """Markup calculation methods."""
    ON_COST = "on_cost"              # Markup on direct cost
    ON_COST_PLUS = "on_cost_plus"    # Markup on cost + previous markups
    FIXED = "fixed"                   # Fixed amount

@dataclass
class MarkupItem:
    """Single markup item."""
    name: str
    markup_type: MarkupType
    rate: float
    method: MarkupMethod
    base_amount: float
    markup_amount: float

@dataclass
class MarkupSchedule:
    """Complete markup schedule."""
    name: str
    markups: List[MarkupItem]

    def get_total_rate(self) -> float:
        """Get combined markup rate."""
        return sum(m.rate for m in self.markups)

@dataclass
class PricingResult:
    """Complete pricing with all markups."""
    direct_cost: float
    labor_cost: float
    material_cost: float
    equipment_cost: float
    subcontractor_cost: float
    markups: List[MarkupItem]
    total_markup: float
    total_price: float
    markup_percentage: float

# Standard markup templates
MARKUP_TEMPLATES = {
    'residential': {
        'overhead': 0.10,
        'profit': 0.10,
        'contingency': 0.05
    },
    'commercial': {
        'overhead': 0.12,
        'profit': 0.08,
        'bond': 0.015,
        'insurance': 0.02,
        'contingency': 0.05
    },
    'industrial': {
        'overhead': 0.15,
        'profit': 0.08,
        'bond': 0.02,
        'insurance': 0.025,
        'contingency': 0.08
    },
    'government': {
        'overhead': 0.12,
        'profit': 0.06,
        'bond': 0.025,
        'contingency': 0.05
    },
    'subcontractor': {
        'overhead': 0.08,
        'profit': 0.10
    }
}

class CWICROverheadMarkup:
    """Apply overhead and markup to CWICR estimates."""

    def __init__(self, cwicr_data: pd.DataFrame = None):
        self.cost_data = cwicr_data
        if cwicr_data is not None:
            self._index_data()

    def _index_data(self):
        """Index cost data."""
        if 'work_item_code' in self.cost_data.columns:
            self._code_index = self.cost_data.set_index('work_item_code')
        else:
            self._code_index = None

    def get_template(self, template_name: str) -> Dict[str, float]:
        """Get markup template."""
        return MARKUP_TEMPLATES.get(template_name, MARKUP_TEMPLATES['commercial'])

    def create_markup_schedule(self,
                                name: str,
                                markups: Dict[str, float],
                                method: MarkupMethod = MarkupMethod.ON_COST) -> MarkupSchedule:
        """Create markup schedule from rates."""

        items = []
        for markup_name, rate in markups.items():
            markup_type = MarkupType.CUSTOM
            for mt in MarkupType:
                if mt.value in markup_name.lower():
                    markup_type = mt
                    break

            items.append(MarkupItem(
                name=markup_name,
                markup_type=markup_type,
                rate=rate,
                method=method,
                base_amount=0,
                markup_amount=0
            ))

        return MarkupSchedule(name=name, markups=items)

    def apply_markups(self,
                      direct_cost: float,
                      schedule: MarkupSchedule,
                      cost_breakdown: Dict[str, float] = None) -> PricingResult:
        """Apply markup schedule to direct cost."""

        if cost_breakdown is None:
            cost_breakdown = {
                'labor': direct_cost * 0.40,
                'material': direct_cost * 0.45,
                'equipment': direct_cost * 0.10,
                'subcontractor': direct_cost * 0.05
            }

        markup_items = []
        running_total = direct_cost

        for markup in schedule.markups:
            if markup.method == MarkupMethod.ON_COST:
                base = direct_cost
            elif markup.method == MarkupMethod.ON_COST_PLUS:
                base = running_total
            else:  # FIXED
                base = 1

            amount = base * markup.rate

            markup_items.append(MarkupItem(
                name=markup.name,
                markup_type=markup.markup_type,
                rate=markup.rate,
                method=markup.method,
                base_amount=round(base, 2),
                markup_amount=round(amount, 2)
            ))

            running_total += amount

        total_markup = running_total - direct_cost
        markup_pct = (total_markup / direct_cost * 100) if direct_cost > 0 else 0

        return PricingResult(
            direct_cost=round(direct_cost, 2),
            labor_cost=round(cost_breakdown.get('labor', 0), 2),
            material_cost=round(cost_breakdown.get('material', 0), 2),
            equipment_cost=round(cost_breakdown.get('equipment', 0), 2),
            subcontractor_cost=round(cost_breakdown.get('subcontractor', 0), 2),
            markups=markup_items,
            total_markup=round(total_markup, 2),
            total_price=round(running_total, 2),
            markup_percentage=round(markup_pct, 1)
        )

    def price_estimate(self,
                       items: List[Dict[str, Any]],
                       template: str = 'commercial') -> PricingResult:
        """Price complete estimate with markups."""

        # Calculate direct costs
        labor = 0
        material = 0
        equipment = 0
        subcontractor = 0

        for item in items:
            code = item.get('work_item_code', item.get('code'))
            qty = item.get('quantity', 0)

            if self._code_index is not None and code in self._code_index.index:
                wi = self._code_index.loc[code]
                labor += float(wi.get('labor_cost', 0) or 0) * qty
                material += float(wi.get('material_cost', 0) or 0) * qty
                equipment += float(wi.get('equipment_cost', 0) or 0) * qty

            subcontractor += item.get('subcontractor_cost', 0)

        direct_cost = labor + material + equipment + subcontractor
        cost_breakdown = {
            'labor': labor,
            'material': material,
            'equipment': equipment,
            'subcontractor': subcontractor
        }

        # Get template and create schedule
        rates = self.get_template(template)
        schedule = self.create_markup_schedule(template, rates)

        return self.apply_markups(direct_cost, schedule, cost_breakdown)

    def calculate_bid_price(self,
                            direct_cost: float,
                            overhead_rate: float = 0.12,
                            profit_rate: float = 0.08,
                            bond_rate: float = 0.015,
                            contingency_rate: float = 0.05) -> Dict[str, Any]:
        """Calculate bid price with standard markups."""

        overhead = direct_cost * overhead_rate
        subtotal1 = direct_cost + overhead

        profit = subtotal1 * profit_rate
        subtotal2 = subtotal1 + profit

        bond = subtotal2 * bond_rate
        subtotal3 = subtotal2 + bond

        contingency = direct_cost * contingency_rate

        total = subtotal3 + contingency

        return {
            'direct_cost': round(direct_cost, 2),
            'overhead': round(overhead, 2),
            'overhead_rate': f"{overhead_rate:.1%}",
            'profit': round(profit, 2),
            'profit_rate': f"{profit_rate:.1%}",
            'bond': round(bond, 2),
            'bond_rate': f"{bond_rate:.1%}",
            'contingency': round(contingency, 2),
            'contingency_rate': f"{contingency_rate:.1%}",
            'bid_price': round(total, 2),
            'total_markup': round(total - direct_cost, 2),
            'total_markup_pct': round((total - direct_cost) / direct_cost * 100, 1)
        }

    def compare_markup_scenarios(self,
                                  direct_cost: float,
                                  scenarios: Dict[str, Dict[str, float]]) -> pd.DataFrame:
        """Compare different markup scenarios."""

        results = []

        for name, rates in scenarios.items():
            schedule = self.create_markup_schedule(name, rates)
            pricing = self.apply_markups(direct_cost, schedule)

            results.append({
                'Scenario': name,
                'Direct Cost': pricing.direct_cost,
                'Total Markup': pricing.total_markup,
                'Markup %': pricing.markup_percentage,
                'Total Price': pricing.total_price
            })

        return pd.DataFrame(results)

    def export_pricing(self,
                        result: PricingResult,
                        output_path: str) -> str:
        """Export pricing breakdown to Excel."""

        with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
            # Summary
            summary_df = pd.DataFrame([{
                'Direct Cost': result.direct_cost,
                'Labor': result.labor_cost,
                'Material': result.material_cost,
                'Equipment': result.equipment_cost,
                'Subcontractor': result.subcontractor_cost,
                'Total Markup': result.total_markup,
                'Markup %': result.markup_percentage,
                'Total Price': result.total_price
            }])
            summary_df.to_excel(writer, sheet_name='Summary', index=False)

            # Markup Details
            markup_df = pd.DataFrame([
                {
                    'Markup': m.name,
                    'Type': m.markup_type.value,
                    'Rate': f"{m.rate:.1%}",
                    'Base': m.base_amount,
                    'Amount': m.markup_amount
                }
                for m in result.markups
            ])
            markup_df.to_excel(writer, sheet_name='Markups', index=False)

        return output_path

Quick Start

# Initialize markup calculator
markup = CWICROverheadMarkup()

# Calculate bid price
bid = markup.calculate_bid_price(
    direct_cost=1000000,
    overhead_rate=0.12,
    profit_rate=0.08
)

print(f"Direct Cost: ${bid['direct_cost']:,.2f}")
print(f"Bid Price: ${bid['bid_price']:,.2f}")
print(f"Total Markup: {bid['total_markup_pct']}%")

Common Use Cases

1. Template-Based Pricing

cwicr = pd.read_parquet("ddc_cwicr_en.parquet")
markup = CWICROverheadMarkup(cwicr)

items = [
    {'work_item_code': 'CONC-001', 'quantity': 150},
    {'work_item_code': 'STRL-002', 'quantity': 25}
]

pricing = markup.price_estimate(items, template='commercial')
print(f"Total Price: ${pricing.total_price:,.2f}")

2. Compare Scenarios

scenarios = {
    'Aggressive': {'overhead': 0.08, 'profit': 0.05},
    'Standard': {'overhead': 0.12, 'profit': 0.08},
    'Premium': {'overhead': 0.15, 'profit': 0.12}
}

comparison = markup.compare_markup_scenarios(1000000, scenarios)
print(comparison)

3. Custom Markup Schedule

schedule = markup.create_markup_schedule('Custom', {
    'overhead': 0.10,
    'profit': 0.08,
    'bond': 0.02,
    'insurance': 0.015
})

pricing = markup.apply_markups(500000, schedule)

Resources

平台分布

Codex

34.21%
按下载量换算43

Claude

30.73%
按下载量换算39

Cursor

19.02%
按下载量换算24

Gemini CLI

9.65%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限未标注

当前来源未能明确判断权限范围,默认进入异常复核队列。

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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