carbon-accounting-ghg-protocol

carbon-accounting-ghg-protocol is a skill for Claude Code, Codex from hamzabellouch/agent-skills. It costs 89 tokens per session (1,038 once invoked), scanned A, original, MIT.

A guide to calculating and reporting greenhouse-gas emissions using the GHG Protocol, a widely used emissions-accounting standard. It covers direct emissions, purchased energy, and value-chain emissions.

In plain words
What is it for?
Use it to build carbon-footprint calculators, load emissions factors, calculate Scope 1, 2, and 3 emissions, and prepare sustainability reports with audit trails.
Why use it?
It helps turn fuel, electricity, travel, and purchasing data into traceable emissions figures using recognised reporting categories.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build carbon-footprint calculators, load emissions factors, calculate Scope 1, 2, and 3 emissions, and prepare sustainability reports with audit trails.

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Install with agentmods
npx agentmods add skills/hamzabellouch/agent-skills/carbon-accounting-ghg-protocol
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hamzabellouch/agent-skills --skill carbon-accounting-ghg-protocol
Clone the repo
git clone --depth 1 https://github.com/hamzabellouch/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for carbon-accounting-ghg-protocol

README.md
[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/carbon-accounting-ghg-protocol/github.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/carbon-accounting-ghg-protocol)
Your own site
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/carbon-accounting-ghg-protocol"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/carbon-accounting-ghg-protocol/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for carbon-accounting-ghg-protocol

Your own site · 80×15
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/carbon-accounting-ghg-protocol"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/carbon-accounting-ghg-protocol.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,038 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00089 $0.01038
Opus 5.5 $0.00036 $0.00415
Sonnet 5.5 $0.00018 $0.00208
Haiku 4.5 $0.00009 $0.00104

Measured 18d ago against content hash c65decf3d507, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

carbon-accounting-ghg-protocol scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CleanTech Energy and ESG Tech/carbon-accounting-ghg-protocol/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Carbon Accounting & GHG Protocol Skill Guide

This skill governs mathematical modeling, emission factor ingestion, and audit trail generation for enterprise carbon accounting engines compliant with the GHG Protocol.


1. Greenhouse Gas Scope Architecture

The GHG Protocol categorizes greenhouse gas emissions into three operational scopes:

[ Global Corporate Boundary ]
  |
  |-- SCOPE 1 (Direct Emissions)
  |   |-- Stationary combustion (boilers, natural gas)
  |   +-- Mobile fleet combustion (gasoline/diesel company vehicles)
  |
  |-- SCOPE 2 (Indirect Energy Emissions)
  |   |-- Location-based: Regional grid average factor (eGRID / IEA)
  |   +-- Market-based: Supplier-specific contracts / Renewable Energy Certificates (RECs)
  |
  +-- SCOPE 3 (Value Chain Indirect)
      |-- Category 1: Purchased Goods and Services
      |-- Category 6: Business Travel (flights, hotels)
      +-- Category 7: Employee Commuting & Remote Work

2. Production Code Implementation (Python)

A. Carbon Footprint Calculation Engine

from decimal import Decimal
from typing import Literal
from pydantic import BaseModel


class EmissionFactor(BaseModel):
    activity_unit: str  # e.g. "kWh", "liter_diesel", "passenger_km"
    co2e_factor_kg: Decimal  # kg CO2e per activity unit
    source: str  # e.g. "EPA 2024", "DEFRA 2023"


class ActivityRecord(BaseModel):
    id: str
    facility_id: str
    scope: Literal["SCOPE_1", "SCOPE_2", "SCOPE_3"]
    activity_type: str
    quantity: Decimal
    unit: str


class CarbonLedgerEngine:
    def __init__(self, factors: dict[str, EmissionFactor]):
        self.factors = factors

    def calculate_emission_kg(self, record: ActivityRecord) -> Decimal:
        factor_key = f"{record.activity_type}_{record.unit}"
        factor = self.factors.get(factor_key)

        if not factor:
            raise ValueError(f"No emission factor found for {factor_key}")

        # Total kg CO2e = Activity Quantity * Emission Factor
        co2e_kg = record.quantity * factor.co2e_factor_kg
        return co2e_kg

    def compute_facility_summary(self, records: list[ActivityRecord]) -> dict:
        summary = {
            "scope_1_mt": Decimal("0.0"),
            "scope_2_mt": Decimal("0.0"),
            "scope_3_mt": Decimal("0.0"),
            "total_co2e_metric_tonnes": Decimal("0.0"),
        }

        for r in records:
            kg = self.calculate_emission_kg(r)
            metric_tonnes = kg / Decimal("1000.0")

            if r.scope == "SCOPE_1":
                summary["scope_1_mt"] += metric_tonnes
            elif r.scope == "SCOPE_2":
                summary["scope_2_mt"] += metric_tonnes
            elif r.scope == "SCOPE_3":
                summary["scope_3_mt"] += metric_tonnes

        summary["total_co2e_metric_tonnes"] = (
            summary["scope_1_mt"] + summary["scope_2_mt"] + summary["scope_3_mt"]
        )
        return summary

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 18d ago First seen · 110 lines · 89 tokens per session scan A c65decf3d507

Subscribe to this mod's changes

carbon-accounting-ghg-protocol is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed today), licensed MIT. It adds 89 tokens to every session and 1,038 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-29.

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