An advanced analytical skill for AI agents to deconstruct narratives and identify systemic manipulation or market hype.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install matrix-detection
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 matrix-detection 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 Matrix Detection?
The matrix-detection skill is a specialized diagnostic framework designed for Openclaw Skills that enables AI agents to look beyond surface-level information. It functions as a truth-seeking layer, helping developers and automated systems separate high-value signals from distracting noise and intentional deception. By integrating this skill, agents can perform objective assessments of new opportunities, community movements, and strategic decisions with a focus on evidence-based reasoning and historical pattern matching.
This skill is particularly valuable in environments where information density is high and incentives are obscured. It allows Openclaw Skills users to deploy agents that are resistant to emotional triggers such as FOMO, urgency, or status signaling, ensuring that decision-making processes remain grounded in verifiable reality.
Matrix Detection Use Cases
- Evaluating market narratives and community movements for genuine value versus inorganic hype.
- Assessing new strategic opportunities to identify hidden risks or asymmetric benefit structures.
- Filtering through social media or news feeds to classify information as signal, noise, or manipulation.
- Performing due diligence for high-stakes decisions where emotional triggers like urgency or fear might be present.
How Matrix Detection Works
- The agent parses the input narrative and its context to establish a baseline for objective analysis.
- It scans for emotional triggers such as manufactured urgency, fear, or status signaling that indicate potential manipulation.
- The skill analyzes the asymmetry of the claim to determine who benefits most from the narrative's adoption versus who bears the risk.
- It cross-references the narrative with historical patterns and measurable data points to check for immediate verifiability.
- The agent categorizes the findings into signal, noise, or manipulation and assigns a corresponding risk level based on the evidence chain.
Matrix Detection Setup
To integrate the matrix-detection capability into your environment, you need to add the skill to your agent's configuration. Use the following CLI command to initialize it within your Openclaw Skills workspace:
openclaw install matrix-detection
Ensure your agent has access to the narrative, context, and source variables during its execution loop to provide the most accurate detection results.
Matrix Detection Data Schema & Taxonomy
The matrix-detection skill utilizes a structured output format to ensure consistency across different Openclaw Skills implementations. The data is organized as follows:
| Property | Type | Description |
|---|---|---|
| classification | string | The primary result: signal, noise, or manipulation |
| reasoning | string | A concise chain of evidence supporting the classification |
| risk_level | string | The identified danger level: low, medium, or high |
| next_checks | array | 1-3 concrete actions required to verify or falsify the narrative |
Matrix Detection Advanced Features
- Evidence-based reasoning hooks that prevent speculation without explicit hypothesis labeling.
- Multi-agent support for cross-referencing narrative findings between different analytical perspectives in Openclaw Skills.
- Falsification logic that identifies specific future events or data points that would invalidate the current narrative.
- Asymmetry detection modules that analyze incentive structures between narrative pushers and believers.
SKILL.md
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