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Security audit

Geo Ai Plugin Builder

Security checks for vulnerabilities and agentic risk

Overview

This skill is a coherent strategy and template helper for designing GEO-aware AI plugin specifications, with no evidence of hidden execution, data exfiltration, persistence, or destructive behavior.

Installers should treat this as a planning/template skill. It may encourage broad AI tool descriptions, so review generated plugin schemas for narrow invocation criteria, clear data boundaries, authentication expectations, and privacy constraints before implementing them in a real product.

A.I.G

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

SkillSpector

Vulnerability Patterns
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The manifest description instructs invocation for broad concepts like building, designing, packaging, or standardizing AI plugins/tools, which can overlap with many general product, engineering, or content tasks. In an agentic environment, this can cause the skill to be selected outside its intended GEO/plugin-strategy niche, leading to inappropriate prompt injection of its workflow and guidance into unrelated conversations.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The description examples say to use the tool 'whenever the user asks to compare' and 'when the user provides concrete numbers and wants…', which are broad natural-language triggers that could overlap with many ordinary requests. The file does not provide negative examples or scope limits to clarify when these patterns should not activate a tool.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.