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Deepfake Awareness Guide

作者 haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install deepfake-awareness-guide
功能描述
Recognize AI-generated media manipulation and protect yourself and your family.
使用说明 (SKILL.md)

Deepfake Awareness Guide

Overview

Deepfake Awareness Guide is an educational resource for understanding AI-generated media manipulation, including deepfakes and synthetic media. It covers how these technologies work conceptually, how to recognize them, the social and personal risks they pose, and how to discuss digital media skepticism with family members — especially teens. This skill promotes healthy skepticism, not paranoia.

This skill does not create or facilitate deepfake creation. Detection guidance is educational, not forensic.

When to Use

Use this skill when the user asks to:

  • Understand what deepfakes are
  • Learn how to spot fake videos
  • Explore AI fake news detection
  • Protect family from fake media
  • Teach kids about AI-generated content

Trigger phrases: "What are deepfakes?", "How to spot fake videos", "AI fake news detection", "Protect family from fake media", "Teaching kids about AI-generated content"

Workflow

Step 1 — Greet and Assess

Acknowledge the user's concern about synthetic media. Ask:

  • What prompted their interest? (a specific incident, general awareness, protecting family)
  • Who are they most concerned about? (themselves, children, elderly relatives, students)
  • What is their current familiarity with AI-generated media?

Step 2 — Explain Deepfakes and Synthetic Media

Provide an accessible conceptual explanation:

  • Deepfakes: AI-generated or manipulated video/audio that makes it appear someone said or did something they didn't
  • Synthetic media: Broader category including AI-generated images, voices, text, and video
  • How it works (conceptually): AI models learn patterns from real media and generate new content that mimics those patterns — not just "copy and paste"
  • Why it's hard to detect: Quality is improving rapidly; what was obviously fake last year may be convincing today

Emphasize: detection is an ongoing challenge. No single technique is foolproof.

Step 3 — Recognizing Synthetic Media

Teach common indicators (educational, not guaranteed):

Video deepfake indicators:

  • Facial inconsistencies: Unnatural blinking, mismatched lip-sync, odd skin texture around face edges
  • Lighting mismatches: Face lighting doesn't match the scene lighting
  • Audio artifacts: Robotic or inconsistent voice quality, mismatched emotional tone
  • Physical anomalies: Strange hair movement, odd reflections in eyes, unnatural head movements
  • Context clues: Does the content align with what you know about the person? Is the source reputable?

Audio deepfake indicators:

  • Unusual pauses or pacing
  • Lack of natural breathing sounds
  • Inconsistent emotional expression
  • Background noise that doesn't match the claimed environment

Image indicators:

  • Refer to AI Image Literacy skill for image-specific detection

Emphasize: these are red flags, not proof. When in doubt, verify through independent trusted sources.

Step 4 — Understand the Risks

Discuss why deepfakes matter:

  • Misinformation: Fake political statements, fabricated events, false narratives spread quickly
  • Personal harm: Non-consensual synthetic media, reputational damage, fraud (e.g., fake voice calls for scams)
  • Erosion of trust: When everything could be fake, people may distrust authentic content too
  • Social polarization: Deepfakes can be used to inflame divisions

Step 5 — Protection and Response

Provide actionable guidance:

For individuals:

  • Verify surprising content through multiple independent sources before sharing
  • Be extra skeptical of emotionally charged content — deepfakes often target strong reactions
  • Check the original source: who created this? Where did it first appear?
  • Use reverse image/video search when possible

For families (especially with teens):

  • Discuss synthetic media openly — don't wait for an incident
  • Teach "pause before sharing" as a family norm
  • Explain that seeing is no longer believing
  • Set expectations about verifying sources for school projects and social sharing
  • Create a family rule: if something seems shocking, verify first

If you encounter a harmful deepfake:

  • Do not share it, even to criticize it (sharing amplifies harm)
  • Report it on the platform where you found it
  • Support the affected person if you know them
  • Document evidence if needed for authorities

Step 6 — Summarize and Exit

Recap key takeaways:

  • Synthetic media technology is real and improving
  • Detection is hard and not guaranteed — source verification is the best defense
  • Healthy skepticism beats both blind trust and paranoia
  • Families benefit from open, ongoing conversations about digital media
  • Suggest related skills: AI Image Literacy for visual media specifics, Digital Information Hygiene for broader information consumption habits

Safety & Compliance

  • Does not create or facilitate deepfake creation
  • Detection guidance is educational, not forensic
  • Does not analyze specific media for authenticity
  • Encourages healthy skepticism, not paranoia
  • Does not target specific individuals or political content
  • Does not provide instructions for generating deceptive synthetic media
  • This is a descriptive prompt-flow skill with zero code execution, zero network calls, and zero credential requirements

Acceptance Criteria

  1. User expresses concern about synthetic media; output includes a conceptual explanation of how deepfakes work
  2. Detection indicators are presented as educational red flags, not guarantees
  3. Risks are discussed without promoting fear or paranoia
  4. Actionable protection guidance is provided for individuals and families
  5. Explicitly refuses to provide instructions for creating deepfakes or deceptive synthetic media

Examples

Example 1: Parent of a Teen

User says: "I heard about deepfakes at my daughter's school. How do I talk to her about this?"

Skill guides: Assess the daughter's age and digital exposure. Explain deepfakes at an age-appropriate level. Teach common video indicators. Provide conversation starters and family norms (pause before sharing, verify sources). Emphasize that the goal is healthy skepticism, not fear. Suggest checking in regularly as the technology evolves.

Example 2: User Who Saw a Suspicious Video

User says: "I saw a video of a politician saying something outrageous. How do I know if it's real?"

Skill guides: Walk through the verification steps: check the source, look for facial and audio indicators, search for coverage from reputable news outlets, check if the person's official channels address it. Emphasize: when in doubt, don't share. Explain that high-quality deepfakes exist and source verification matters more than visual inspection alone.

安全使用建议
This skill appears safe to install as an educational prompt-flow. Treat its detection tips as awareness guidance rather than forensic proof, and verify surprising media through trusted independent sources.
功能分析
Type: OpenClaw Skill Name: deepfake-awareness-guide Version: 1.0.0 The skill is a purely educational, document-based prompt-flow designed to provide information on deepfake awareness and media literacy. It contains no executable code, requests no network or file system access (as specified in skill.json), and includes explicit safety instructions in SKILL.md and ACCEPTANCE.md to refuse requests for creating synthetic media or facilitating deception.
能力标签
cryptocan-make-purchases
能力评估
Purpose & Capability
The stated purpose is deepfake awareness and family media literacy, and the visible SKILL.md workflow stays aligned with explanation, detection red flags, risk awareness, and refusal to help create deepfakes.
Instruction Scope
Instructions are limited to educational conversation flow and safety guidance; there is no evidence of forced tool use, goal override, command execution, or targeted media analysis.
Install Mechanism
There is no install spec, no required binaries, no env vars, and skill.json declares document-only, no code execution, no network, and no credentials.
Credentials
The artifacts do not request local files, account access, APIs, or system permissions. The listed capability signals such as crypto and can-make-purchases are not supported by any visible instruction or code behavior in the supplied files.
Persistence & Privilege
No persistence, background process, memory storage, privilege escalation, or autonomous ongoing activity is described.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install deepfake-awareness-guide
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /deepfake-awareness-guide 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Deepfake Awareness Guide v1.0.0 - Launch of an educational resource to help users understand, recognize, and respond to AI-generated media manipulation. - Provides clear conceptual explanations of deepfakes and synthetic media, emphasizing educational awareness rather than technical forensics. - Offers practical tips and red flags for spotting fake videos and audio, including guidance tailored for families and teens. - Outlines personal and social risks associated with deepfakes, promoting healthy skepticism without encouraging fear. - Includes actionable steps for protection and response, ensuring users know what to do if they encounter potentially harmful synthetic media. - Strictly avoids promoting, enabling, or instructing on deepfake creation.
元数据
Slug deepfake-awareness-guide
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Deepfake Awareness Guide 是什么?

Recognize AI-generated media manipulation and protect yourself and your family. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 30 次。

如何安装 Deepfake Awareness Guide?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install deepfake-awareness-guide」即可一键安装,无需额外配置。

Deepfake Awareness Guide 是免费的吗?

是的,Deepfake Awareness Guide 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Deepfake Awareness Guide 支持哪些平台?

Deepfake Awareness Guide 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Deepfake Awareness Guide?

由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。

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