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Security audit

Travel Business Wellness Integrator

Security checks for vulnerabilities and agentic risk

Overview

This skill is a simple business-travel wellness planner that generates informational JSON and does not show hidden execution, network access, persistence, or credential handling.

Installers should treat this as informational wellness planning, not medical or employment advice. The main caveat is scope: it may activate for broad travel-wellness prompts, so users should verify health recommendations with appropriate professionals and official sources.

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
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Findings (8)

Ae1

High
Category
analysis-evasion
Confidence
100% confidence
Finding

Referenced artifact was not completely inspected

Content

Scanner excerpt · SKILL.md (reported line 192)May include surrounding context.

md
- `SKILL.md` - Complete documentation (this file)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The first example scenario is entirely in Chinese and presents the response in Chinese without any indication that language is optional or user-selectable. This can violate language/locale policy expectations because the skill appears to prescribe a specific language style for at least some interactions without documenting opt-in or choice.

Content

No source excerpt is available for this finding.

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
70% confidence
Finding

Without declared permissions the skill's intent is opaque and cannot be validated.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The trigger criteria are broad and include generic travel and wellness phrases, which can cause the skill to activate outside its intended niche. Overbroad activation increases the chance of prompt interception, unintended routing, or the skill influencing unrelated user requests with domain-specific guidance the user did not explicitly request.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The example prompts are phrased broadly enough to overlap with ordinary travel-planning requests, making accidental invocation more likely across unrelated contexts. In agent ecosystems, this can create prompt-squatting behavior where a loosely scoped skill captures traffic intended for more appropriate skills.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
83% confidence
Finding

The manifest metadata declares language: en, and later requirements state "English documentation primary" while the document also contains a Chinese usage scenario. This creates a natural-language policy concern because the skill appears to impose an English-default locale rather than explicitly offering language choice to users.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

The module documentation presents the skill as merely descriptive, which suggests static informational output. In practice, the handler inspects user input for destination, timeframe, budget, business, and routine cues and dynamically constructs recommendations and frameworks based on that analysis.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

The manifest sets the skill language to "en" with no indication that users can opt into another language or that the skill is intentionally limited to English for a stated regional or compliance reason. This is a natural-language policy concern because it imposes a locale choice by default.

Content

No source excerpt is available for this finding.