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Security audit

Ai Agent Helper Moss

Security checks for vulnerabilities and agentic risk

Overview

This skill is a simple prompt and agent-design helper with no code execution, credential access, persistence, or hidden behavior.

Before installing, note that this is a lightweight prompt-design aid and may route on broad agent/prompt optimization requests; users who prefer another language may need to ask the agent to respond in that language.

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
  • 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
90% confidence
Finding

The invocation examples are very broad and do not define clear boundaries for when the skill should activate. In an agent environment, this can cause over-triggering or inappropriate routing, leading the assistant to apply prompt-engineering behavior in unintended contexts and potentially interfere with safer or more specific skills.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

The description is written in mixed Chinese and English, and the document consistently presents content in that mixed language style without stating that users may choose their preferred language or locale. This can be a language-policy issue if the organization expects user opt-in before imposing a specific language or dialect.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.