技能 dbs-spread

📦

dbs-spread

Name: dbs-spread
Author: dontbesilent2025

內容修訂 r1 安全 ⚙️ 外部命令🌐 網路存取

Decode Why Content Resonates and Gets Shared

Audience reactions can be difficult to explain from engagement numbers alone. This skill uses textual evidence and communication theories to explain emotional responses and sharing motives.

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 "dbs-spread" from https://skillstore.io/skills/dontbesilent2025-dbs-spread.md and its manifest at https://skillstore.io/api/skills/dontbesilent2025-dbs-spread/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/dontbesilent2025-dbs-spread.md 已簽名 manifest GET /api/skills/dontbesilent2025-dbs-spread/manifest 已簽名 lockfile GET /api/skills/dontbesilent2025-dbs-spread/lockfile

測試它

正在使用「dbs-spread」。 Explain this post for junior employees: 'Asking for a clear deadline is responsible, not disrespectful.'

預期結果:

Core claim: requesting deadline clarity is legitimate professional behavior.
Primary theory: framing. The contrast between responsible and disrespectful redefines the meaning of asking.
Emotional hypothesis: readers who fear appearing difficult may feel relief. Their actual reactions require validation.
Possible sharing motive: communicate a workplace norm to colleagues. Text alone cannot establish whether readers will share.
Discussion question: how can teams make deadline clarification routine?

正在使用「dbs-spread」。 Analyze why students might save this post: 'Before submitting your essay, check the thesis, citations, and conclusion.'

預期結果:

Primary theory: uses and gratifications. The checklist provides practical help during essay submission.
Textual evidence: the three named checks create a reusable review aid.
Likely use hypothesis: students may save the post for later reference. Confidence is moderate without behavioral data.
Interpretation limit: practical usefulness does not establish strong emotion, public agreement, or sharing behavior.
Follow-up topic: which citation mistakes should a submission checklist include?

安全審計

安全

v1 • 2026/10/17 開啟版本化報告

All seven static findings are false positives from Markdown formatting, a bibliographic DOI, and readable Chinese text. The files describe content analysis without executable commands or network requests. No evidence found of prompt injection, credential access, or data exfiltration.

已掃描檔案

218

分析行數

複核項目

已忽略的誤報

風險因素

⚙️ 外部命令 (3)

SKILL.md:162-196 SKILL.md:196-212 SKILL.md:212

🌐 網路存取 (1)

SKILL.md:71

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/dontbesilent2025-dbs-spread/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 徽章

[![Skillstore security assessment](https://skillstore.io/badges/skills/dontbesilent2025-dbs-spread/security.svg)](https://skillstore.io/skills/dontbesilent2025-dbs-spread?utm_source=security_passport_badge)

HTML 徽章

<a href="https://skillstore.io/skills/dontbesilent2025-dbs-spread?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dontbesilent2025-dbs-spread/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

嵌入卡片

<iframe src="https://skillstore.io/embed/skills/dontbesilent2025-dbs-spread.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

dontbesilent2025. (2026). dbs-spread security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1

BibTeX 引用

@techreport{dontbesilent2025-dontbesilent2025-dbs-spread-2026,
  author = {dontbesilent2025},
  title = {dbs-spread security audit report (audit version 1)},
  institution = {Skillstore},
  year = {2026},
  number = {1},
  url = {https://skillstore.io/skills/dontbesilent2025-dbs-spread/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: "dbs-spread security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
  - name: "dontbesilent2025"
date-released: "2026-10-17"
url: "https://skillstore.io/skills/dontbesilent2025-dbs-spread/audits/1"
identifiers:
  - type: other
    value: "skillstore:dontbesilent2025-dbs-spread: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

Understand Responses to an Existing Post

Identify which passages may activate audience identity or emotions, and distinguish possible sharing motives from unverified assumptions.

Plan Evidence-Based Follow-Up Discussions

Analyze an article and propose related discussion questions that preserve its main psychological mechanism without rewriting the entire piece.

Develop Audience Research Hypotheses

Connect textual evidence to a primary communication theory and list audience responses that interviews or behavioral data must verify.

試試這些提示

Explain a Post

Analyze this existing post: [text]. Explain its main audience resonance mechanism using specific passages, and identify what remains uncertain.

Separate Audience Motives

Analyze [content] for [audience]. Distinguish watching, saving, commenting, and sharing motives. Use one primary theory and quote supporting passages.

Develop Follow-Up Topics

Analyze [article] using one primary theory. Add an auxiliary theory only if necessary. Suggest three follow-up topics that preserve the dominant mechanism.

Build Testable Mechanism Hypotheses

Analyze [content] with [audience context] and [observed reactions]. Separate facts, inferences, and validation needs. Explain confidence, theoretical limits, and alternative interpretations.

最佳實務

Provide the original content, intended audience, platform context, and any observed reactions.
Require specific textual evidence and keep one primary theory unless another explains a distinct mechanism.
Validate emotional and behavioral hypotheses with comments, interviews, or engagement data before treating them as facts.

避免

Treating theory-based analysis as a guarantee of reach, revenue, or viral performance.
Stacking theories without textual triggers or a distinct explanatory purpose.
Equating emotional activation with agreement, or agreement with actual sharing.

常見問題

Which AI tools can use this skill?

The skill is listed for Claude, Codex, and Claude Code.

What should I provide for analysis?

Provide existing content and its intended audience. Platform context, comments, interviews, and behavioral data can help validate the resulting hypotheses.

Can it predict whether my content will go viral?

No. It explains possible resonance and sharing mechanisms, not platform metrics or guaranteed outcomes.

Which theories does it use?

Primary options cover social identity, emotional appraisal, framing, uses and gratifications, and emotional activation in sharing. Additional theories require specific triggers.

Will it rewrite my entire article?

No. Its scope is mechanism analysis and discussion directions, not full line-by-line editing or overall commercial evaluation.

Does the skill require external commands or network access?

The supplied files contain instructions and interface metadata. They do not include executable scripts or require network requests.