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Security audit

Chinese Interest Rate

Security checks for vulnerabilities and agentic risk

Overview

This skill coherently monitors China interest rates, fetches public rate data, and stores comparison data locally, with no evidence of hidden privilege use or malicious behavior.

Before installing, expect this skill to make outbound requests to public finance/rate websites and update its own local rates.json file when run. Consider narrowing the trigger phrases if accidental activation would be noisy, and verify the data before using it for financial decisions.

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 (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger list includes very broad terms such as '利率', '今天利率', '利息', and '利率查询', which are likely to appear in ordinary financial conversations and can cause the skill to activate unintentionally. In an agent ecosystem, overbroad invocation increases the chance of irrelevant execution, unnecessary data fetching, notification noise, and possible routing away from a more appropriate skill.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

This code file contains natural-language strings and documentation that are primarily Chinese, including the top-level script description and operational instructions. Under the policy rule, forcing a specific language without user opt-in is a locale-policy concern unless the tool clearly documents a justified region-specific constraint or offers a language choice.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The top-level documentation says '抓取失败时使用上次保存的数据(不发送错误通知)', implying an operational fallback to stored rates on fetch failure. In practice, the script loads historical data only for comparison, and if no new rates are obtained it prints a warning and exits at L269-L271 rather than using the saved data as the active fallback dataset.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.