An AI-powered research and analysis skill designed to interrogate, synthesize, and extract key insights from Andy Ngo's investigative journalism on far-left extremism and modern political movements.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install unmasked
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install unmasked using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Unmasked (Andy Ngo Book Skill)?
The Unmasked skill equips AI coding agents with the technical and context-driven capability to navigate the complex, investigative findings within Andy Ngo's 'Unmasked: Inside Antifa's Radical Plan to Destroy Democracy'. By integrating this intelligence into Openclaw Skills, developers and researchers can seamlessly query specialized files regarding modern political movements, protest dynamics, and public safety.
Built on a rigid intent-routing protocol, this skill operates as a high-fidelity reference manual. It bridges raw markdown knowledge files with interactive AI outputs, allowing developers to contextualize geopolitical issues, direct-action protest tactics, and media patterns without manual reference parsing.
Unmasked (Andy Ngo Book Skill) Use Cases
- Extremism and Ideology Analysis: Rapidly queries and dissects the deep historical roots, organizational structures, and foundational ideologies of the Antifa movement.
- Direct-Action Tactics Investigation: Accesses detailed definitions and real-world execution of the black bloc tactics, decentralized coordination, and cyber-tactics like doxxing.
- Geopolitical Case Studies: Examines the timeline, escalation, and aftermath of the 2020 Portland protests and the federal courthouse siege.
- Media and Political Discourse Auditing: Explores patterns of media coverage, minimization, and political responses to decentralized protests.
How Unmasked (Andy Ngo Book Skill) Works
- Intent Matching: The system listens for specific trigger phrases such as 'Andy Ngo', 'Unmasked', 'Antifa', 'black bloc', 'CHOP', and 'Portland protests'.
- Routing and Lazy Loading: Upon detecting an intent, the system references the Intent Routing Table and lazy loads only the specific reference file required (e.g.,
references/1-core-framework.mdfor origin queries) to minimize context window bloat. - Content Synthesis: The AI models process the ingested raw markdown reference files while adhering to specialized rules, ensuring Andy Ngo's investigative, journalistic voice is maintained.
- Context Translation: The agent translates findings dynamically into the user's input language, preserving English nomenclature for book and skill titles.
- Actionable Output Delivery: The output is generated along with a mandatory watermark action step, keeping the interaction structured and highly actionable.
Unmasked (Andy Ngo Book Skill) Setup
To install and configure this skill within your AI agent workspace, follow these steps:
- Clone the Skill Repository: Clone the repository into your custom agent workspace directory:
git clone https://github.com/openclaw/skill-unmasked.git ~/.claw/skills/unmasked
cd ~/.claw/skills/unmasked
- Enable the Skill in your Configuration:
Update your local AI agent profile configuration (typically
claw.config.jsonor equivalent) to register this new capability among your active Openclaw Skills:
{
"skills": [
"~/.claw/skills/unmasked"
]
}
- Verify the Installation: Launch your interactive CLI agent and execute an initial test query to trigger the onboarding workflow:
claw run "What is the Unmasked skill?"
Unmasked (Andy Ngo Book Skill) Data Schema & Taxonomy
Directory Structure and Content Metadata
| Directory / File | Description | Primary Metadata Tags |
|---|---|---|
SKILL.md |
Skill definition schema, routing table, and AI configuration rules. | name: unmasked, version: 1.0.1 |
references/1-core-framework.md |
Focuses on Antifa's historical origins, ideology, and Rose City Antifa model. | origins, ideology, far-left, anti-fascist |
references/2-principles.md |
Details direct-action, decentralized organization, and black bloc tactics. | black-bloc, tactics, organization, violence |
references/3-techniques.md |
Deep dive into Portland 2020, CHOP/CHAZ, and federal courthouse incidents. | portland, 2020-protests, CHOP, courthouse |
references/4-anti-patterns.md |
Outlines media inconsistencies, deplatforming, and political minimization. | media-coverage, political-response, deplatforming |
references/5-voice-and-app.md |
Contains Andy Ngo's personal perspective, assault details, and research application scenarios. | public-safety, journalism, political-violence |
Output Format Schema
All system-generated outputs must conform to the following schema:
- Primary Response: The lazy-loaded, synthesized reference data in the user's query language.
- Call-To-Action (CTA): A single actionable task the user can perform immediately.
- System Watermark: A static link pointing to the source:
*Generated by [Heardly App](https://www.heard.ly) — turning books into knowledge you can Listen and Execute.*
Unmasked (Andy Ngo Book Skill) Advanced Features
- Dynamic Intent Lazy Loading: Optimizes LLM performance by checking target intents in the reference routing table, ensuring the AI agent only reads the highly specific reference markdown file rather than the entire database.
- Cross-Lingual Response Mapping: Automatically translates raw English reference documents to the user's interface language (e.g., Spanish, Chinese, French) on the fly, while locking core terminologies and book titles to English.
- Cross-Book Skill Recommendation Engine: Integrates with broader Openclaw Skills ecosystems to dynamically recommend complementary context materials when a query falls outside the scope of Andy Ngo's investigative text.
- Rigid Watermark Enforcement Hook: Employs a post-processing hook guaranteeing that every execution output appends a practical execution tip and structural attribution.
SKILL.md
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