co2-carbon-footprint
Calculate CO2 emissions and carbon footprint from BIM model data. Analyze embodied carbon by material, element, and building system.
Supply asset profile
Design and creative production
Design assets, images, video, audio, multimodal media, presentation, and creative production skills.
Scenario
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Maintenance
fresh
Pushed today
Risk
Needs review
SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
GitHub quality
282
71/100 Quality · 71/100 Trust
Coverage tags
Review notes
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.
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
282 GitHub stars
Repo activity
282 stars, 74 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
Install safety
standard package or runtime install path
Permission surface
database access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprint
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 63/100
- Audit
- 79/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill co2-carbon-footprintDo not use when
- teams that need a vendor-supported SLA
- 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.
Alternative
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Agent safety v2
63/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Database access
Skill may inspect schemas, query databases, or work with persistent stores.
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
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-footprintAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20co2-carbon-footprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20co2-carbon-footprint%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/datadrivenconstruction-co2-carbon-footprint/install
Agent should check
- 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.
Copy 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.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/datadrivenconstruction-co2-carbon-footprint/install
LLM text format
/api/skills/datadrivenconstruction-co2-carbon-footprint/install?format=text
Find alternatives
/api/skills/search?q=co2-carbon-footprint&limit=3
Agent prompt
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-footprintRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/datadrivenconstruction-co2-carbon-footprint
LLM text
/api/registry/manifest/datadrivenconstruction-co2-carbon-footprint?format=text
Install alias
/api/registry/install/datadrivenconstruction-co2-carbon-footprint
Recommend
/api/registry/recommend?task=Use%20co2-carbon-footprint%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Platforms
Claude Code
Audit report
Needs review · 79/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 71/100 quality profile
review first
- 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
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO282 GitHub stars
Stars/forks activity
INFO282 stars, 74 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- SKILL.md is incomplete; the provided content cuts off mid-code, lacking the full implementation, usage examples, and API documentation.
- Quality score needs review
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Create assets
Design and creative
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Workflow fit
Add it to a complete workflow
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Compare before you install
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Overview
--- 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
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 22, 2026
- Published
- Aug 22, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 81/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for co2-carbon-footprint, ready for a manual X post.
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
Optional reply with install command
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 --...
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- datadrivenconstruction
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to datadrivenconstruction but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint/audit)
[](https://www.openagentskill.com/skills/datadrivenconstruction-co2-carbon-footprint)Author
datadrivenconstruction
@datadrivenconstruction
Tags
Platform fit
Health signals
- GitHub stars
- 282
- Quality score
- 40/100
- Last GitHub push
- Aug 22, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption282 GitHub starsINFO
- Stars/forks activity282 stars, 74 forks; issue activity unavailable in current metadataINFO
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskdatabase surfacePASS
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