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Security audit

Taiwan

Security checks for vulnerabilities and agentic risk

Overview

This is a Taiwan travel-planning skill with local preference memory and no code execution, network access, or hidden high-impact behavior found.

Before installing, be comfortable with the skill keeping Taiwan trip preferences such as dates, pace, transport style, food restrictions, and travel history in local memory if you opt in. For live conditions such as weather, closures, prices, schedules, or emergencies, ask the agent to verify current 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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (6)

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · SKILL.md (reported line 111)May include surrounding context.

md
- Depending on one app for every rail layer
- Waiting until station time to install or register
- Using bikes casually without checking local rules or setup requirements

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
75% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · apps.md (reported line 41)May include surrounding context.

md
- Depending on one app for every rail layer
- Waiting until station time to install or register
- Using bikes casually without checking local rules or setup requirements

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
87% confidence
Finding

The activation rule 'Read this when ~/taiwan/ doesn't exist or is empty. Start naturally.' is broad and underspecified, which can cause the skill to trigger in unintended contexts or without an explicit user request. While not directly harmful on its own, ambiguous activation increases the chance of unsolicited behavioral changes and makes it harder to reason about when the skill should govern the assistant's actions.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill instructs the agent to ask whether to keep Taiwan preferences for future trip ideas and then 'Save their answer to main memory,' but it does not clearly warn the user that this data may persist beyond the current session. This can lead to users disclosing travel preferences, constraints, or related personal data without informed consent about retention, creating a privacy risk through unexpected persistence.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The section titled "How to Order or Talk About Tea" presents a single "Best language" approach for user interactions, which imposes a language/communication preference without indicating that the user may choose another language or locale. Under the policy, language constraints should be optional or clearly justified, and no such opt-in or justification is provided here.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
79% confidence
Finding

This natural-language guidance presents Mandarin as the dominant language for travelers without offering user choice or acknowledging multilingual realities such as Taiwanese Hokkien, Hakka, or English support in some contexts. While not a strict forced-language instruction, it can bias users toward a single language expectation without opt-in or justification.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.