nex-ai-literacy-pack
Draft AI Literacy Policies and Training Plans
Organizations need structured records of AI tools, usage rules, and staff training. This guide helps Claude or Codex draft connected AI literacy documents for review.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "nex-ai-literacy-pack" from https://skillstore.io/skills/nexaiguy-nex-ai-literacy-pack.md and its manifest at https://skillstore.io/api/skills/nexaiguy-nex-ai-literacy-pack/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「nex-ai-literacy-pack」を使用しています。 Draft an inventory and training outline for a marketing agency using ChatGPT and Midjourney.
期待される結果:
- Inventory draft: ChatGPT for copywriting; Midjourney for campaign concepts. Record owners, data inputs, and publication workflows.
- Provisional triage: confirm deployment details before assigning risk categories.
- Training outline: management oversight, staff privacy and hallucination awareness, and technical approval responsibilities.
- Policy draft: do not enter client personal data into unapproved AI tools.
「nex-ai-literacy-pack」を使用しています。 Prepare attendance and oversight records for our internal AI literacy program.
期待される結果:
- Attendance record: participant, role, training track, session date, and completion status.
- Oversight log: system, reviewer, review date, identified issue, decision, and follow-up owner.
- Review cycle: assign a policy owner and record the next inventory and training review dates.
セキュリティ監査
安全All three static findings are false positives: the URLs provide attribution and catalog references, and the footer contains no reconnaissance instructions. No evidence found of executable payloads, data exfiltration, or prompt injection in the reviewed guide. Its legal compliance and update claims require independent verification.
リスク要因
🌐 ネットワークアクセス (2)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/nexaiguy-nex-ai-literacy-pack/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/nexaiguy-nex-ai-literacy-pack?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/nexaiguy-nex-ai-literacy-pack?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/nexaiguy-nex-ai-literacy-pack/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/nexaiguy-nex-ai-literacy-pack.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
nexaiguy. (2026). nex-ai-literacy-pack security audit report (audit version 1) [Author version 1.0]. Skillstore. https://skillstore.io/skills/nexaiguy-nex-ai-literacy-pack/audits/1BibTeX形式の引用
@techreport{nexaiguy-nexaiguy-nex-ai-literacy-pack-2026,
author = {nexaiguy},
title = {nex-ai-literacy-pack security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/nexaiguy-nex-ai-literacy-pack/audits/1},
note = {Author version 1.0}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "nex-ai-literacy-pack security audit report (audit version 1)"
version: "1.0"
type: report
authors:
- name: "nexaiguy"
date-released: "2026-11-02"
url: "https://skillstore.io/skills/nexaiguy-nex-ai-literacy-pack/audits/1"
identifiers:
- type: other
value: "skillstore:nexaiguy-nex-ai-literacy-pack:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Prepare an agency AI register
Draft a tool inventory, client-data policy, and staff training plan for an agency using generative AI.
Organize client compliance drafts
Create coordinated inventory, policy, and training drafts with assumptions and unresolved legal questions for client review.
Plan technical oversight records
Outline technical training and human oversight logs for deployments that require further high-risk assessment.
これらのプロンプトを試す
We are a 50-person marketing agency using ChatGPT and Midjourney. Draft an AI inventory and list missing deployment details before suggesting provisional risk categories.
Use our approved inventory: [inventory]. Draft acceptable-use rules, client-data restrictions, and approval flows. Mark assumptions and decisions needing management approval.
Use this inventory and policy: [documents]. Draft management, general staff, and technical training tracks. Include attendance records, oversight responsibilities, and review cycles.
Use these organizational details: [context]. Assemble inventory, policy, training, attendance, and oversight drafts. Explain provisional triage and flag Annex III questions for counsel. Identify legal timeline claims requiring verification.
ベストプラクティス
- Provide tool purposes, data categories, deployment contexts, and accountable owners before requesting provisional risk triage.
- Keep inventory entries, policy restrictions, and role-based training requirements consistent across generated documents.
- Have qualified counsel verify legal references, implementation timelines, and local consultation requirements before adopting drafts.
回避
- Treating generated documents as official certification or proof that all legal obligations are satisfied.
- Assigning risk categories solely from product names without examining how each system is deployed.
- Assuming the public guide includes executable automation, original templates, or guaranteed regulatory updates.