cold-offer
Draft Cold Offers Around Concrete Findings
Cold outreach often asks for a purchase before showing useful work. This skill structures a finding, a small solution sample, and a first email with local draft checks.
インストール前に停止して確認を求めてください。
計画を確認し、ファイルを変更する前にユーザーの明示的な同意を得てください。
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 "cold-offer" from https://skillstore.io/skills/cmj-hub-cold-offer.md and its manifest at https://skillstore.io/api/skills/cmj-hub-cold-offer/manifest. Verify the artifact. Stop and obtain explicit user consent before installing or changing files.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
「cold-offer」を使用しています。 Draft an offer about a homepage requesting meetings before showing any work.
期待される結果:
- Finding: Your homepage asks for a meeting before showing a work sample.
- Prototype: A one-page sample that presents the finding and a short trial first.
- First email: Your homepage asks for a meeting before showing any work. I prepared a one-page alternative. May I share the full report?
「cold-offer」を使用しています。 Check a complete draft whose first email says: Buy our retainer.
期待される結果:
- Result: Rejected because the first email contains a configured paid-product pitch phrase.
- Revision: Share the specific finding and the prepared sample instead of asking for a purchase.
「cold-offer」を使用しています。 Check a draft with a finding and first email but no prototype.
期待される結果:
- Result: Draft is incomplete.
- Revision: Add a nonempty prototype description before checking again.
セキュリティ監査
高リスクMost static findings are harmless documentation, CSS, encoding markers, or legitimate local tooling. Confirmed risks affect optional asset renderers: unsafe HTML insertion, inline script serialization, CSS interpolation, and unconditional frame directory deletion. No evidence found of prompt injection, credential theft, or malicious exfiltration; the Python scorer performs local validation without network access.
確認済みのセキュリティ上の懸念 (2)
機能レビュー項目 (3)
これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。
リスク要因
🌐 ネットワークアクセス (6)
⚙️ 外部コマンド (18)
📁 ファイルシステムへのアクセス (7)
🔑 環境変数 (2)
⚡ スクリプトを含む (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/cmj-hub-cold-offer/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/cmj-hub-cold-offer?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/cmj-hub-cold-offer?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/cmj-hub-cold-offer/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/cmj-hub-cold-offer.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
cmj-hub. (2026). cold-offer security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/cmj-hub-cold-offer/audits/1BibTeX形式の引用
@techreport{cmj-hub-cmj-hub-cold-offer-2026,
author = {cmj-hub},
title = {cold-offer security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/cmj-hub-cold-offer/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: "cold-offer security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "cmj-hub"
date-released: "2026-10-03"
url: "https://skillstore.io/skills/cmj-hub-cold-offer/audits/1"
identifiers:
- type: other
value: "skillstore:cmj-hub-cold-offer: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
Founder Outreach
Draft a first email that shares a specific public-page observation and a small sample instead of requesting a demo.
Consulting Offer Preparation
Package a verified business finding with a limited solution sample before discussing a larger paid engagement.
Team Draft Review
Check draft completeness and configured pitch phrases before a human reviews the message for sending.
これらのプロンプトを試す
Draft a cold offer from this verified observation: [finding]. Include a finding, a small solution sample, and a first email without a product pitch.
Rewrite this email: [draft]. Lead with [verified finding], name [prepared sample], and remove purchase requests, meeting requests, and demo invitations.
Review my draft at [local path]. Use the local scorer to check required fields and pitch phrases, then suggest revisions without sending anything.
Create three offer variants from [verified finding] and [prepared sample]. Compare clarity, validate each locally, and explain limitations of the phrase checks.
ベストプラクティス
- Use verified public observations and describe only samples you have actually prepared.
- Review scorer results manually because fixed phrase checks can reject harmless text or miss sales pitches.
- Keep the core drafting workflow separate from optional asset renderers until their security issues are fixed.
回避
- Inventing recipient problems or claiming unfinished work is already available.
- Treating a successful scorer result as proof of accuracy, compliance, or effective outreach.
- Passing untrusted specifications to the optional renderers or reusing directories containing important files.