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Security audit

北京早安心情助手(天气+穿衣+饮食)

Security checks for vulnerabilities and agentic risk

Overview

This is a simple Beijing weather advice skill; it may activate too easily on morning greetings but shows no hidden, persistent, or credential-seeking behavior.

Installers should understand that this skill is designed for Chinese-language Beijing morning weather briefings and may run on simple morning greetings. Consider narrowing its trigger if you do not want weather lookups from generic greetings.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (4)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill metadata says it should be used for very common greetings like “早安/早上好,” which are broad triggers that can cause the skill to activate when the user is merely greeting rather than requesting weather, clothing, or food advice. This can lead to unintended tool use and irrelevant responses, especially in systems that auto-route based on skill descriptions.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The invocation section explicitly prioritizes this skill for generic morning greetings, again without requiring user intent tied to weather or Beijing-specific advice. In an agent environment, this increases accidental invocation risk, which can override a user's actual request and cause unnecessary external lookups.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

The instruction to always answer in Chinese imposes a fixed language choice without checking the user's language preference, which may conflict with locale or accessibility expectations. While not a classic security bug, it can cause policy and UX failures if the user spoke another language or the host system expects language continuity.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

The example conversations and assistant output are entirely in Chinese, beginning with Chinese-only user greetings and responses. For a general skill example file, this suggests a fixed language expectation without any visible opt-in, alternative locale, or justification that the skill is region-specific.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.