技能 power-storage-data-asset-expert

📦

power-storage-data-asset-expert

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

内容修订 r1 安全 📁 文件系统访问⚙️ 外部命令🌐 网络访问

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.

支持: Claude Codex Code(CC)

🥉 77 青铜

使用我的智能体安装

将此请求复制给你的智能体，其中包含权威 Skill 页面和清单。

智能体请求

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.

你的智能体仍应展示其计划，并按安全策略请求必要确认。

Agent 可读资源

当 AI Agent、爬虫或脚本需要干净上下文，而不是读取完整页面时，请使用这些链接。

Markdown 详情 GET /skills/dhturing-power-storage-data-asset-expert.md 已签名 manifest GET /api/skills/dhturing-power-storage-data-asset-expert/manifest 已签名 lockfile GET /api/skills/dhturing-power-storage-data-asset-expert/lockfile

测试它

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

预期结果:

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?

预期结果:

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.

预期结果:

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

安全审计

安全

v1 • 2026/9/27 打开版本化报告

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.

已扫描文件

397

分析行数

复核项

已忽略误报

风险因素

📁 文件系统访问 (2)

profile.md:38 profile.md:38

⚙️ 外部命令 (3)

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

🌐 网络访问 (2)

SKILL.md:6 SKILL.md:12

最新一次完成的静态与语义审计未检测到已确认的安全发现。这并不能证明该 Skill 没有副作用。

审计者: codex

分享与引用此报告

分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据，不判断该 Skill 是否安全。

打开版本化报告

复制报告链接

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>

学术引用 (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 评分

评分依据证据置信度: 中

架构

可维护性

内容

社区

规范符合性

你能构建什么

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.

试试这些提示

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.

最佳实践

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.

常见问题

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.