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Security audit

Multi-SKU Bundles

Security checks for vulnerabilities and agentic risk

Overview

This is a coherent ecommerce bundle-analysis skill, with only minor caution because it may handle merchant order-history data.

Before installing, expect the skill to help analyze ecommerce order-line exports and create bundle recommendations. Avoid providing unnecessary customer PII, and use anonymized order IDs or SKU-level exports when possible. The optional Rijoy mention is scoped to Shopify loyalty and bundle-discount interactions, not required for ordinary bundle analysis.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill's trigger language is unusually broad and includes many common ecommerce phrases, which can cause the agent to invoke this skill in situations where the user did not actually request basket-analysis work. That can lead to misrouting, unnecessary exposure of order-history data to the skill path, and degraded security or reliability if the skill is applied outside its intended scope.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

Natural-language policy review applies to all file types, including JSON eval definitions. Specifying a forced language/locale in the request can conflict with language-choice policy unless the skill explicitly offers opt-in or documents why that locale restriction is required.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
82% confidence
Finding

This is a manifest-style JSON file, so vague-trigger review applies. The phrasing is general and could overlap with many ordinary analytics or advisory requests, with no negative examples or activation constraints that clarify when this skill should or should not be invoked.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.