AI Displacement Monitor

• Outcome: Pass
• Latest audit: May 28, 2026, 7:19 AM
• Version:
  1.0.2

Overview

This skill is a disclosed analytical template for AI labor-displacement risk monitoring and does not show hidden system access, credential use, persistence, or data exfiltration.

This is appropriate to install as a decision-support framework, not as an authoritative financial model. Before relying on its alerts, verify current labor, credit, market, and portfolio data from trusted sources and consider defining stricter numeric thresholds if consistent, repeatable outputs matter.

SkillSpector

By NVIDIA

Vulnerability Patterns

• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Privilege Escalation: Excessive Permissions, Sudo/Root Execution, Credential Access
• Supply Chain: Unpinned Dependencies, External Script Fetching, Obfuscated Code

Findings (4)

Vague Triggers

Medium

• Confidence: 92% confidence
• Finding: This trigger uses qualitative language without a precise numeric definition, which can cause different operators or downstream agents to activate alerts inconsistently. In an early-warning monitoring skill, ambiguous thresholds degrade reliability and can produce false alarms or missed escalation when employment stress is emerging.

Vague Triggers

Medium

• Confidence: 94% confidence
• Finding: The trigger depends on an undefined trend term, so users may interpret the same data differently and reach inconsistent alert states. Because this file is intended to drive practical warning thresholds, undefined terminology weakens reproducibility and could conceal genuine labor-displacement signals or exaggerate them.

Vague Triggers

Low

• Confidence: 88% confidence
• Finding: The persistence requirement is vague, leaving too much room for subjective judgment about what counts as persistent movement. This is lower impact than core escalation rules, but it can still skew structural-stress confirmation and make the monitoring framework less dependable.

Vague Triggers

Low

• Confidence: 90% confidence
• Finding: This branching logic describes different interpretations without explicit decision criteria, so analysts may apply inconsistent downgrade or escalation paths. In a macro-financial risk skill, that ambiguity reduces auditability and can lead to unstable outputs across runs or teams.

VirusTotal

65/65 vendors flagged this skill as clean.