Matrix Detection

Identify illusions, hype, false narratives, and systemic manipulation; classify signal vs noise with evidence and risk tags.

SKILL: matrix-detection

Purpose

Identify illusions, hype, false narratives, and systemic manipulation.

When to Use

• New opportunities
• Market narratives
• Community movements
• Strategic decisions

Inputs

• narrative (required): the claim/story being pushed
• context (required): where/when/why this narrative appears
• source (optional): who is pushing it + incentives (if known)

Steps

1. Identify emotional triggers (hype, fear, urgency, status signaling).
2. Detect asymmetry (who benefits vs who believes).
3. Check verifiability (what can be measured/confirmed now).
4. Compare with historical patterns (similar claims → typical outcomes).
5. Classify as:
   • signal
   • noise
   • manipulation
6. Assign risk level (low|medium|high) and list what would falsify the narrative.

Validation

• Evidence-based reasoning.
• If uncertain, label uncertainty explicitly (no implied certainty).
• No speculation without labeling it as hypothesis.

Output

• classification: signal|noise|manipulation
• reasoning: concise evidence chain
• risk_level: low|medium|high
• next_checks: 1–3 concrete verification actions

Safety Rules

• Never assume malicious intent without evidence.
• Do not provide financial guarantees or “sure outcomes”.

Example

Input: “This token will 100x in 2 weeks” Output: manipulation / high / hype-driven / request verifiable catalysts + liquidity + unlock schedule