CCDB Carbon Emission Factor Search

Queries the Carbonstop CCDB emission factor database via directly calling the public HTTP API.

Prerequisites

Requires Node.js ≥ 18 (for npx). No API Key is needed. The CLI uses built-in crypto and fetch with zero runtime dependencies.

Security & Auditability

To ensure safe, deterministic execution and mitigate supply-chain risks, this skill pins the execution to carbonstop-ccdb@1.0.1.

• Source Code: github.com/carbonstop/skills/tree/main/cli
• NPM Package: npmjs.com/package/carbonstop-ccdb
• Engines: Requires Node.js >=18.0.0
• Dependencies: 0 runtime dependencies.

Agents should run this CLI in a sandboxed environment if possible, or verify the exact version hash on the npm registry.

Available Tools

This skill relies on the carbonstop-ccdb CLI. Because it is published to npm, you don't need to worry about absolute paths or local files.

You can execute it anywhere by running npx carbonstop-ccdb@1.0.1 [options].

1. Search Emission Factors (Formatted Output)

Purpose: Search for carbon emission factors by keyword and return human-readable formatted text.

npx carbonstop-ccdb@1.0.1 search "电力"
npx carbonstop-ccdb@1.0.1 search "electricity" --lang en

Parameters:

• keyword: Search keyword, e.g., "electricity", "cement", "steel", "natural gas"
• --lang: (Optional) Target language for the search. Defaults to zh. Pass --lang en for English.

Returns: Formatted text containing the factor value, unit, applicable region, year, publishing institution, etc.

2. Search Emission Factors (JSON Output)

Purpose: Operates the same as regular search, but returns structured JSON data. Highly recommended for programmatic handling and carbon emission calculations.

npx carbonstop-ccdb@1.0.1 search "electricity" --lang en --json

Parameters are identical to formatting search, just append the --json flag.

JSON Return Fields:

3. Compare Multiple Emission Factors

Purpose: Compare the carbon emission factors of up to 5 keywords simultaneously. Useful for horizontal comparison of different energy sources or materials.

npx carbonstop-ccdb@1.0.1 compare 电力 天然气 柴油
npx carbonstop-ccdb@1.0.1 compare electricity "natural gas" --lang en
npx carbonstop-ccdb@1.0.1 compare electricity "natural gas" --json

Parameters:

• compare: Use the compare subcommand.
• keywords: List of search keywords, 1-5 items maximum.

Usage Scenarios & Examples

Scenario 1: Query Emission Factor for a Specific Energy Source

> User: What is the carbon emission factor for the Chinese power grid?

→ Action: Execute npx carbonstop-ccdb@1.0.1 search "electricity" --lang en or npx carbonstop-ccdb@1.0.1 search "中国电网". Find the one corresponding to China and the most recent year.

Scenario 2: Carbon Emission Calculation

> User: My company used 500,000 kWh of electricity last year, what is the carbon footprint?

→ Workflow:

1. Search the "electricity" factor (preferably with --json), select China and the latest year.
2. Calculate Carbon Emissions = 500,000 kWh × Factor Value (in kgCO₂e/kWh).

Scenario 3: Comparing Energy Alternatives

> User: Compare the carbon emission factors of electricity, natural gas, and diesel.

→ Action: Execute npx carbonstop-ccdb@1.0.1 compare electricity "natural gas" diesel --lang en

Scenario 4: Querying Industry-Specific Data

> User: What is the emission factor for the cement industry?

→ Action: Search using "cement".

Important Notes

1. Prioritize China Mainland and the Latest Year: Unless the user specifies another region or year, implicitly prioritize data for China and the most recent year available.
2. Pay Close Attention to Unit Conversion: Different factors might have entirely different units (e.g., kgCO₂/kWh vs. tCO₂/TJ). Always double-check before doing mathematical calculations.
3. Data Authority / Providers: Take note of the publishing institutions (e.g., MEE, IPCC, IEA, EPA).
4. No Results Found? Use Synonyms: If the search yields empty results, attempt to use synonyms (e.g., translate your query, or map "power" → "electricity" → "grid").
5. Always Use JSON for Calculations: The --json format returns highly precise numerical figures that are ideal for programmatic multiplication.