carbon-data-asset-expert
Turn Carbon Data into Auditable Assets
Carbon data often lacks clear classification, evidence, and a compliant route to use. This skill structures MRV, accounting, credit, finance, and disclosure workflows.
使用我的智慧代理安裝
將此請求複製給你的智慧代理,其中包含權威 Skill 頁面和清單。
Review the Skillstore skill "carbon-data-asset-expert" from https://skillstore.io/skills/dhturing-carbon-data-asset-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-carbon-data-asset-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智慧代理仍應顯示其計畫,並依安全政策請求必要確認。
Agent 可讀資源
當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時,請使用這些連結。
測試它
正在使用「carbon-data-asset-expert」。 We have electricity, fuel, supplier, and product shipment records but no verification report.
預期結果:
Assessment: emissions and product-footprint data are available, but MRV is incomplete. Priorities are boundaries, factor sources, controls, traceability, and independent verification.
正在使用「carbon-data-asset-expert」。 Can our forestry project sell credits immediately?
預期結果:
Conclusion: not yet. Confirm an approved methodology, ownership, additionality, monitoring, validation, registration, verification, issuance, trading eligibility, and retirement rules.
正在使用「carbon-data-asset-expert」。 Prepare a carbon section for our ESG report.
預期結果:
Deliverable: a disclosure outline with boundaries, Scope 1 to 3 totals, methods, factor sources, assurance status, limitations, targets, and evidence references.
安全審計
中風險All 18 static findings are false positives caused by documentation paths, Markdown formatting, ordinary website links, or Chinese plain text. A separate medium-risk concern remains because the guidance promotes a named commercial carbon-token product without independent due diligence or conflict disclosure.
已確認的安全問題 (1)
風險因素
分享與引用此報告
分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據,不判斷該 Skill 是否安全。
複製報告連結
https://skillstore.io/skills/dhturing-carbon-data-asset-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdown 徽章
[](https://skillstore.io/skills/dhturing-carbon-data-asset-expert?utm_source=security_passport_badge)HTML 徽章
<a href="https://skillstore.io/skills/dhturing-carbon-data-asset-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-carbon-data-asset-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>嵌入卡片
<iframe src="https://skillstore.io/embed/skills/dhturing-carbon-data-asset-expert.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>學術引用 (APA · BibTeX · CFF)
APA 引用
图灵数盟. (2026). carbon-data-asset-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-carbon-data-asset-expert/audits/1BibTeX 引用
@techreport{dhturing-carbon-data-asset-expert-2026,
author = {图灵数盟},
title = {carbon-data-asset-expert security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dhturing-carbon-data-asset-expert/audits/1},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "carbon-data-asset-expert security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "图灵数盟"
date-released: "2026-09-27"
url: "https://skillstore.io/skills/dhturing-carbon-data-asset-expert/audits/1"
identifiers:
- type: other
value: "skillstore:dhturing-carbon-data-asset-expert:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore 評分
評分依據 證據置信度: 中你可以打造什麼
Assess Corporate Carbon Data
Classify existing datasets, identify MRV gaps, and produce a prioritized readiness plan.
Evaluate a Carbon Credit Project
Review methodology fit, verification needs, registration steps, trading limits, and retirement planning.
Prepare Verifiable ESG Disclosure
Structure Scope 1, 2, and 3 evidence, controls, assumptions, and anti-greenwashing checks.
試試這些提示
Classify my data as emissions, product footprint, carbon credit, or carbon sink data. Explain the required MRV and next steps.
Review the monitoring records, factors, boundaries, reports, and verification evidence I provide. Create an MRV gap analysis and prioritized improvement plan.
Draft a carbon disclosure plan covering Scope 1, 2, and 3 emissions. Include evidence requirements, assumptions, controls, and greenwashing checks.
Evaluate this project's methodology fit, credit registration route, trading constraints, retirement plan, and finance options. Separate official credits from commercial tokens.
最佳實務
- Provide source records, reporting boundaries, factor references, verification status, and intended use before requesting a recommendation.
- Confirm every regulatory citation, methodology, limit, and market rule against current official sources.
- Keep official carbon credits separate from commercial tokens in analysis, valuation, and external claims.
避免
- Do not treat unverified emissions data as issued or tradable carbon credits.
- Do not use estimates without documenting assumptions, uncertainty, sources, and data-quality controls.
- Do not present commercial carbon tokens as official CCER credits or guaranteed investments.
常見問題
What carbon data can this skill assess?
Can it verify or issue carbon credits?
Which standards does it reference?
Can it prepare an ESG carbon disclosure?
Does it provide investment advice?
What information improves the result?
開發者詳細資訊
作者
图灵数盟授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
50b73f83991cf073cbdf3f5afad2bbac71dd3bae
維護新鮮度
2026/9/30
使用量
0 次下載 · 0 次瀏覽
檔案結構