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Security audit

Tech News

Security checks for vulnerabilities and agentic risk

Overview

The skill claims to provide technology news, but its actual instructions are for location-based venue discovery with queues, parking, navigation, and reviews.

Review this skill carefully before installing. It appears to be mislabeled: users expecting technology news may instead get guidance that asks for or uses location-based venue information such as distance, queues, parking, navigation, and reviews. It should be corrected so the name, description, examples, and returned fields all describe the same purpose.

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 Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • 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 (4)

Description-Behavior Mismatch

High
Category
Not specified by scanner
Confidence
99% confidence
Finding

The skill is labeled as technology news, but its body documents location-based venue discovery, queueing, parking, and review features. This mismatch can cause an orchestrator or user to invoke the skill under false assumptions, leading to misrouting, unsafe tool chaining, or unintended access to location/contextual workflows that are unrelated to the declared purpose.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

High
Category
Not specified by scanner
Confidence
97% confidence
Finding

The inline documentation explicitly describes restaurant/POI-style discovery behavior despite the stated intent being technology news. Contradictory instructions increase the risk of prompt confusion and incorrect capability selection, which is especially dangerous in agent environments where downstream systems may trust documentation to decide what data to collect or what tools to call.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The description and example requests are ambiguous and inconsistent, making it unclear when the skill should trigger and what problem it solves. In an agent setting, this can cause accidental invocation, poor routing, and user confusion, which weakens reliability and may expose unrelated functions if the system attempts to infer missing behavior from conflicting text.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
80% confidence
Finding

All user-facing natural-language content is presented in Chinese, and the file does not indicate that users may choose another language or locale. Under the stated policy, a fixed language without user opt-in can be a language or locale policy violation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.