技能 power-storage-data-asset-expert

📦

power-storage-data-asset-expert

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

內容修訂 r1 安全 📁 檔案系統存取⚙️ 外部命令🌐 網路存取

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.

支援: Claude Codex Code(CC)

🥉 77 銅級

Maintain this Skill? Claim it 🥉 77 銅級

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。

智能體請求

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.

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。

Markdown 詳情 GET /skills/dhturing-power-storage-data-asset-expert.md 已簽名 manifest GET /api/skills/dhturing-power-storage-data-asset-expert/manifest 已簽名 lockfile GET /api/skills/dhturing-power-storage-data-asset-expert/lockfile

測試它

正在使用「power-storage-data-asset-expert」。 Assess charging records containing user, payment, vehicle, energy, location, and service-fee data.

預期結果:

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.

正在使用「power-storage-data-asset-expert」。 Can grid topology and dispatch data be sold or transferred abroad?

預期結果:

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

正在使用「power-storage-data-asset-expert」。 Evaluate storage health data for an accounting and valuation project.

預期結果:

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

安全審計

安全

v1 • 2026/9/27 開啟版本化報告

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.

已掃描檔案

397

分析行數

複核項目

已忽略的誤報

風險因素

📁 檔案系統存取 (2)

profile.md:38 profile.md:38

⚙️ 外部命令 (3)

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

🌐 網路存取 (2)

SKILL.md:6 SKILL.md:12

最近一次完成的靜態與語意稽核未偵測到已確認的安全發現。這並不能證明該 Skill 沒有副作用。

審計單位: codex

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。

開啟版本化報告

複製報告連結

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

Markdown 徽章

[![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 徽章

<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>

嵌入卡片

<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>

學術引用 (APA · BibTeX · CFF)

APA 引用

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 引用

@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 評分

評分依據證據置信度: 中

架構

可維護性

內容

社群

規範符合度

你可以打造什麼

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.

試試這些提示

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.

最佳實務

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.

避免

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.

常見問題

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.