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Security audit

Ntriq X402 Sentiment Batch

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward paid remote sentiment-analysis API wrapper, with a privacy-disclosure gap but no hidden execution, persistence, or destructive behavior.

Before installing, understand that texts submitted for analysis and the x402 payment header are sent to ntriq's remote service. Do not submit secrets, private customer data, regulated content, or confidential business text unless you are comfortable with that provider handling it and have any required authorization.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill instructs users to POST potentially sensitive text inputs to an external HTTPS endpoint but does not clearly warn that submitted data leaves the local agent environment and is processed by a third-party service. Because the description also emphasizes '100% local inference on Mac Mini,' users may incorrectly assume privacy or local-only processing, increasing the risk of accidental disclosure of sensitive or regulated data.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.