co2-carbon-footprint

Tinjau · 63
Diindeks di Registry

Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.

Verified installs0
Star282
Versi1.0.0
Kualitas71/100 · Kuat
Kepercayaan63/100 · Hanya sandbox
Audit79/100 · Perlu ditinjau

Profil aset

Desain dan produksi kreatif

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Lihat kategori

Skenario

Desain dan kreatif

I need my agent to produce design assets, UI directions, presentations, or creative media workflows.

Kecocokan Agent

Claude Code + CLI + Codex

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint

Pemeliharaan

Terkini

1 hari sejak push

Risiko

Perlu ditinjau

SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.

Kualitas GitHub

282

71/100 Kualitas · 71/100 Kepercayaan

Tag cakupan

DesainDesain dan kreatifDesain dan kreatifagent-skill

Catatan ulasan

SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation. · instructions.md is generic and not tailored to this specific skill, missing concrete steps for invoking the carbon calculation workflow.

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Kuat
71

Solid option that is likely worth shortlisting for production workflows.

Kepercayaan

Hanya sandbox
63

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
79

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

282 star GitHub

Aktivitas repositori

282 star dan 74 fork

Pemeliharaan

1 hari sejak push

Lisensi

MIT

Pasang

npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

Akses database

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Usable metadata, review docs

Ringkasan risiko

Tinjau sebelum produksi

  • SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
  • Quality score needs review

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

Buka JSON

Tugas yang sesuai

  • Alur kerja Agent riset
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Sumber pencarian

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
63/100
Audit
79/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
  • No OpenAgentSkill engagement data yet
  • instructions.md is generic and not tailored to this specific skill, missing concrete steps for invoking the carbon calculation workflow.

Keamanan Agent v2

63/100 · Tinjau sebelum memasang

Ditinjau dengan catatan izinTinjau

Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.

Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.

Selesaikan via API

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses database

Skill dapat memeriksa skema, mengkueri database, atau bekerja dengan penyimpanan persisten.

  • SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.

Target pemasangan

Pasang skill ini di alur Agent Anda

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install datadrivenconstruction-co2-carbon-footprint

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Salin prompt

Task: Use co2-carbon-footprint in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20co2-carbon-footprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/datadrivenconstruction-co2-carbon-footprint/install
Install command: npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

Use co2-carbon-footprint for this task. Review https://www.openagentskill.com/api/skills/datadrivenconstruction-co2-carbon-footprint/install, then install with: npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

70/100

Agent riset

Platform

Claude Code

Laporan audit

Perlu ditinjau · 79/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for Research agents

Prototype with this skill first; keep a fallback candidate ready.

70
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

Agent riset

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • Alur kerja Agent riset
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 71/100

tinjau dulu

  • SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
  • No OpenAgentSkill engagement data yet

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Agent riset dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

63
Trust Score OpenAgentSkill

Adopsi GitHub

Info

282 star GitHub

Aktivitas star/fork

Info

282 star dan 74 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

1 hari sejak push

Kejelasan lisensi

Lulus

MIT

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
  • Quality score needs review
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Kuat kandidat untuk alur kerja Agent

Solid option that is likely worth shortlisting for production workflows.

71
Star GitHub
282
Keterkinian
1 hari lalu
Siap dipasang
Ya
Lisensi
MIT
Tinjau sebelum memasang: SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- name: "co2-carbon-footprint" description: "Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system." homepage: "https://datadrivenconstruction.io" metadata: {"openclaw": {"emoji": "🔍", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}} --- # CO2 Carbon Footprint Calculator

## Business Case

### Problem Statement Sustainability requirements demand carbon tracking: - Need to quantify embodied carbon - Material selection impact unclear - Reporting requirements increasing - No integration with BIM workflow

### Solution Calculate CO2 emissions from BIM quantities using EPD (Environmental Product Declaration) data and carbon coefficients.

### Business Value - **Sustainability** - Meet green building requirements - **Design optimization** - Identify high-carbon elements - **Reporting** - Automated carbon reports - **Decision support** - Compare material alternatives

## Technical Implementation

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

class LifeCycleStage(Enum): """EN 15978 Life Cycle Stages.""" A1_A3 = "a1_a3" # Product stage A4 = "a4" # Transport to site A5 = "a5" # Construction B1_B7 = "b1_b7" # Use stage C1_C4 = "c1_c4" # End of life D = "d" # Beyond system boundary

class MaterialCategory(Enum): """Material categories for carbon calculation.""" CONCRETE = "concrete" STEEL = "steel" TIMBER = "timber" ALUMINUM = "aluminum" GLASS = "glass" BRICK = "brick" INSULATION = "insulation" GYPSUM = "gypsum" OTHER = "other"

@dataclass class CarbonCoefficient: """Carbon emission coefficient for a material.""" material: str category: MaterialCategory kgco2_per_unit: float # kg CO2e per unit unit: str # kg, m3, m2, etc. stage: LifeCycleStage source: str # EPD reference uncertainty: float = 0.1 # 10% default uncertainty

@dataclass class CarbonResult: """Carbon calculation result for an element.""" element_id: str element_name: str material: str category: MaterialCategory quantity: float unit: str kgco2_per_unit: float total_kgco2: float stage: LifeCycleStage level: str = "" notes: str = ""

@dataclass class CarbonSummary: """Carbon footprint summary.""" total_kgco2: float total_tonco2: float by_material: Dict[str, float] by_category: Dict[str, float] by_stage: Dict[str, float] by_level: Dict[str, float] element_count: int gfa: float # Gross Floor Area kgco2_per_m2: float

class CarbonCoefficientDatabase: """Database of carbon emission coefficients."""

def __init__(self): self.coefficients: List[CarbonCoefficient] = [] self._load_default_coefficients()

def _load_default_coefficients(self): """Load standard carbon coefficients (EPD-based).""" # Concrete products self.add_coefficient(CarbonCoefficient( material="Concrete C30/37", category=MaterialCategory.CONCRETE, kgco2_per_unit=250, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - Concrete" )) self.add_coefficient(CarbonCoefficient( material="Concrete C40/50", category=MaterialCategory.CONCRETE, kgco2_per_unit=300, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - High Strength Concrete" )) self.add_coefficient(CarbonCoefficient( material="Reinforcement Steel", category=MaterialCategory.STEEL, kgco2_per_unit=1.99, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Rebar" ))

# Steel products self.add_coefficient(CarbonCoefficient( material="Structural Steel", category=MaterialCategory.STEEL, kgco2_per_unit=2.5, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Structural Steel" )) self.add_coefficient(CarbonCoefficient( material="Steel Sheet", category=MaterialCategory.STEEL, kgco2_per_unit=2.3, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Sheet Metal" ))

# Timber products self.add_coefficient(CarbonCoefficient( material="Softwood Timber", category=MaterialCategory.TIMBER, kgco2_per_unit=-500, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - CLT (carbon sequestration)" )) self.add_coefficient(CarbonCoefficient( material="Glulam", category=MaterialCategory.TIMBER, kgco2_per_unit=-350, unit="m3", stage=LifeCycleStage.A1_A3, source="Generic EPD - Glued Laminated Timber" ))

# Aluminum self.add_coefficient(CarbonCoefficient( material="Aluminum Profile", category=MaterialCategory.ALUMINUM, kgco2_per_unit=8.0, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Aluminum" ))

# Glass self.add_coefficient(CarbonCoefficient( material="Float Glass", category=MaterialCategory.GLASS, kgco2_per_unit=15.0, unit="m2", stage=LifeCycleStage.A1_A3, source="Generic EPD - Float Glass" )) self.add_coefficient(CarbonCoefficient( material="Double Glazing Unit", category=MaterialCategory.GLASS, kgco2_per_unit=35.0, unit="m2", stage=LifeCycleStage.A1_A3, source="Generic EPD - IGU" ))

# Masonry self.add_coefficient(CarbonCoefficient( material="Clay Brick", category=MaterialCategory.BRICK, kgco2_per_unit=0.24, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Clay Brick" ))

# Insulation self.add_coefficient(CarbonCoefficient( material="Mineral Wool", category=MaterialCategory.INSULATION, kgco2_per_unit=1.2, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - Mineral Wool" )) self.add_coefficient(CarbonCoefficient( material="EPS Insulation", category=MaterialCategory.INSULATION, kgco2_per_unit=3.5, unit="kg", stage=LifeCycleStage.A1_A3, source="Generic EPD - EPS" ))

# Gypsum self.add_coefficient(CarbonCoefficient( material="Gypsum Board", category=MaterialCategory.GYPSUM, kgco2_per_unit=2.8, unit="m2", stage=LifeCycleStage.A1_A3, source="Generic EPD - Plasterboard" ))

def add_coefficient(self, coefficient: CarbonCoefficient): """Add carbon coefficient to database.""" self.coefficients.append(coefficient)

def find_coefficient(self, material_name: str, stage: LifeCycleStage = LifeCycleStage.A1_A3) -> Optional[CarbonCoefficient]: """Find matching coefficient for material.""" material_lower = material_name.lower()

# Direct match for coef in self.coefficients: if coef.material.lower() == material_lower and coef.stage == stage: return coef

# Partial match for coef in self.coefficients: if material_lower in coef.material.lower() or coef.material.lower() in material_lower: if coef.stage == stage: return coef

# Category match category = self._guess_category(material_name) for coef in self.coefficients: if coef.category == category and coef.stage == stage: return coef

return None

def _guess_category(self, material_name: str) -> MaterialCategory: """Guess material category from name.""" name_lower = material_name.lower()

if any(w in name_lower for w in ['concrete', 'cement', 'mortar']): return MaterialCategory.CONCRETE if any(w in name_lower for w in ['steel', 'iron', 'metal']): return MaterialCategory.STEEL if any(w in name_lower for w in ['wood', 'timber', 'lumber', 'plywood', 'clt']): return MaterialCategory.TIMBER if any(w in name_lower for w in ['aluminum', 'aluminium']): return MaterialCategory.ALUMINUM if any(w in name_lower for w in ['glass', 'glazing']): return MaterialCategory.GLASS if any(w in name_lower for w in ['brick', 'masonry', 'block']): return MaterialCategory.BRICK if any(w in name_lower for w in ['insulation', 'wool', 'foam', 'eps', 'xps']): return MaterialCategory.INSULATION if any(w in name_lower for w in ['gypsum', 'drywall', 'plaster']): return MaterialCategory.GYPSUM

return MaterialCategory.OTHER

class CO2FootprintCalculator: """Calculate carbon footprint from BIM data."""

def __init__(self, coefficient_db: CarbonCoefficientDatabase = None): self.db = coefficient_db or CarbonCoefficientDatabase() self.results: List[CarbonResult] = [] self.warnings: List[str] = []

def calculate_element(self, element: Dict[str, Any], stage: LifeCycleStage = LifeCycleStage.A1_A3) -> Optional[CarbonResult]: """Calculate carbon for single element.""" material = element.get('material', '') if not material: self.warnings.append(f"Element {element.get('element_id')} has no material") return None

coefficient = self.db.find_coefficient(material, stage) if not coefficient: self.warnings.append(f"No coefficient found for material: {material}") return None

# Get quantity in correct unit quantity = self._get_quantity(element, coefficient.unit) if quantity is None or quantity <= 0: return None

total_kgco2 = quantity * coefficient.kgco2_per_unit

result = CarbonResult( element_id=str(element.get('element_id', '')), element_name=str(element.get('name', '')), material=material, category=coefficient.category, quantity=quantity, unit=coefficient.unit, kgco2_per_unit=coefficient.kgco2_per_unit, total_kgco2=total_kgco2, stage=stage, level=str(element.get('level', '')) )

self.results.append(result) return result

def _get_quantity(self, element: Dict[str, Any], unit: str) -> Optional[float]: """Get quantity in required unit.""" unit_lower = unit.lower()

if unit_lower == 'm3': return float(element.get('volume', 0) or 0) elif unit_lower == 'm2': return float(element.get('area', 0) or 0) elif unit_lower in ['kg', 'kilogram']: # Try weight, then estimate from volume weight = element.get('weight', 0) if weight: return float(weight) # Estimate from volume with density volume = element.get('volume', 0) if volume: density = self._estimate_density(element.get('material', '')) return float(volume) * density elif unit_lower in ['m', 'meter']: return float(element.get('length', 0) or 0)

return None

def _estimate_density(self, material: str) -> float: """Estimate material density in kg/m3.""" material_lower = material.lower()

densities = { 'concrete': 2400, 'steel': 7850, 'timber': 500, 'aluminum': 2700, 'glass': 2500, 'brick': 1800, 'gypsum': 800 }

for key, density in de

Detail teknis

Versi
1.0.0
Lisensi
MIT
Pembaruan terakhir
22 Agu 2026
Diterbitkan
22 Agu 2026

Ringkasan keputusan

Kandidat cadangan

70
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

79
Perlu ditinjau
Keamanan
81/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk co2-carbon-footprint, siap untuk posting manual di X.

Catatan kurator
co2-carbon-footprint: Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by...

282 stars

https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for co2-carbon-footprint:
https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint?ref=x

Install: npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --...
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan datadrivenconstruction, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/datadrivenconstruction-co2-carbon-footprint?metric=listed&label=Listed)](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/datadrivenconstruction-co2-carbon-footprint?metric=trust&label=Trust)](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/datadrivenconstruction-co2-carbon-footprint?metric=audit&label=Audit)](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/datadrivenconstruction-co2-carbon-footprint?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)

Penulis

D

datadrivenconstruction

@datadrivenconstruction

Kecocokan platform

Sinyal kesehatan

Star GitHub
282
Skor kualitas
40/100
Push GitHub terakhir
22 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
0
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

63
  • Adopsi GitHub282 star GitHubInfo
  • Aktivitas star/fork282 star dan 74 fork; aktivitas issue tidak tersedia dalam metadata saat iniInfo
  • Pemeliharaan terbaru1 hari sejak pushLulus
  • Kejelasan lisensiMITLulus
  • Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
  • Risiko dependensi/runtimedatabase surfaceLulus