스킬 power-storage-data-asset-expert

📦

power-storage-data-asset-expert

Name: power-storage-data-asset-expert
Author: 图灵数盟

콘텐츠 리비전 r1 안전 📁 파일 시스템 접근⚙️ 외부 명령어🌐 네트워크 접근

Assess Energy Data Asset Opportunities

Energy data projects often lack clear compliance gates and measurable value. This skill structures classification, cash-flow evidence, accounting coordination, and commercialization options.

지원: Claude Codex Code(CC)

🥉 77 브론즈

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내 에이전트로 설치

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에이전트 요청

Review the Skillstore skill "power-storage-data-asset-expert" from https://skillstore.io/skills/dhturing-power-storage-data-asset-expert.md and its manifest at https://skillstore.io/api/skills/dhturing-power-storage-data-asset-expert/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/dhturing-power-storage-data-asset-expert.md 서명된 manifest GET /api/skills/dhturing-power-storage-data-asset-expert/manifest 서명된 lockfile GET /api/skills/dhturing-power-storage-data-asset-expert/lockfile

테스트해 보기

"power-storage-data-asset-expert" 사용 중입니다. Assess charging records containing user, payment, vehicle, energy, location, and service-fee data.

예상 결과:

Classification: charging operations data with personal information.
Primary control: remove direct identifiers and restrict behavior-level disclosures.
Cash-flow basis: service fees supported by contracts, bills, and system logs.
Conclusion: proceed after privacy, rights, and evidence checks.

"power-storage-data-asset-expert" 사용 중입니다. Can grid topology and dispatch data be sold or transferred abroad?

예상 결과:

Treat the data as potentially important or CII-related. Pause external transfer, confirm authority rules, and assess controlled internal or statistical use.

"power-storage-data-asset-expert" 사용 중입니다. Evaluate storage health data for an accounting and valuation project.

예상 결과:

Link health data to verified maintenance savings or grid-service income. Establish a baseline, document attribution, then engage qualified accounting and valuation reviewers.

보안 감사

안전

v1 • 2026. 9. 27. 버전별 보고서 열기

All 13 static alerts are false positives caused by documentation paths, Markdown code spans, public attribution links, and high-entropy Chinese prose. No executable behavior, obfuscated payload, prompt injection, or malicious intent was found.

스캔된 파일

397

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

📁 파일 시스템 접근 (2)

profile.md:38 profile.md:38

⚙️ 외부 명령어 (3)

SKILL.md:20 SKILL.md:26 SKILL.md:33

🌐 네트워크 접근 (2)

SKILL.md:6 SKILL.md:12

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/dhturing-power-storage-data-asset-expert/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/dhturing-power-storage-data-asset-expert/security.svg)](https://skillstore.io/skills/dhturing-power-storage-data-asset-expert?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/dhturing-power-storage-data-asset-expert?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dhturing-power-storage-data-asset-expert/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/dhturing-power-storage-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>

학술 인용 (APA · BibTeX · CFF)

APA 인용

图灵数盟. (2026). power-storage-data-asset-expert security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dhturing-power-storage-data-asset-expert/audits/1

BibTeX 인용

@techreport{dhturing-power-storage-data-asset-expert-2026,
  author = {图灵数盟},
  title = {power-storage-data-asset-expert security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dhturing-power-storage-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: "power-storage-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-power-storage-data-asset-expert/audits/1"
identifiers:
  - type: other
    value: "skillstore:dhturing-power-storage-data-asset-expert:audit:1"
    description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

Screen a charging portfolio

Classify charging data, identify privacy concerns, and test whether service-fee cash flows support assetization.

Evaluate storage value

Connect storage performance data to maintenance savings, grid services, and evidence-based cash-flow measures.

Review sensitive grid data

Identify important-data and CII concerns before proposing internal optimization, controlled services, or cross-border use.

이 프롬프트를 사용해 보세요

Create a data inventory

List our energy datasets by source, fields, update frequency, owner, users, and business purpose.

Classify data sensitivity

Classify these datasets by sensitivity, personal information, important-data indicators, CII relevance, and required evidence: [datasets].

Test measurable cash flow

Assess this scenario for measurable, sustainable, attributable, and verifiable cash flow. State evidence gaps and a proceed, remediate, or stop conclusion.

Design an integrated pathway

Design a phased pathway for [portfolio], covering compliance gates, revenue rights, privacy controls, valuation inputs, accounting coordination, verification, and approval dependencies.

모범 사례

Complete classification and CII screening before designing commercialization.
Support every cash-flow claim with contracts, bills, logs, and baseline comparisons.
Separate revenue rights from data rights and document each approval.

피하기

Do not treat data volume alone as proof of asset value.
Do not expose identifiable charging behavior or bypass cross-border review.
Do not present preliminary analysis as legal, regulatory, valuation, or accounting approval.

자주 묻는 질문

What energy data does this skill cover?

It covers power operations, charging stations, battery storage, grids, and water operations.

Does it determine whether data is CII or important data?

It provides an initial screen. Final classification requires current authority rules and qualified review.

How does it test assetization feasibility?

It checks whether cash flow is measurable, sustainable, attributable, and verifiable.

Can it provide a formal valuation?

No. It organizes evidence and valuation inputs for review by qualified professionals.

Can it design a charging station RWA?

It can outline revenue-rights separation, privacy controls, evidence needs, and review steps. Implementation requires jurisdiction-specific legal and financial approval.

What information should users provide?

Provide dataset fields, ownership, contracts, bills, logs, processing locations, intended users, transfer plans, and current controls.