Nas system monitor

• Outcome: Review
• Latest audit: Sep 11, 2026 · 1:04 AM UTC
• Version: 1.0.0

Overview

This skill appears to be a simple local NAS monitor, but it materially overstates remote alerting and monitoring features that the shipped code does not implement.

Review this carefully before installing if you need real unattended NAS alerting: the current artifact does not send Feishu, Discord, or Telegram notifications and does not implement several advertised monitoring checks. It is suitable only as a local, foreground prototype unless those gaps are fixed.

A.I.G

Vulnerability Patterns

• Insecure Skill Coding Practices: Finds exploitable flaws such as hardcoded secrets or command injection
• Skill Instruction Hijacking: Alters the agent's session goals or safety constraints when the skill loads
• Agent Memory Poisoning: Writes attacker-controlled rules into memory that affect later sessions
• Remote Payload Retrieval and Execution: Fetches external code whose behavior can change after review
• Embedded Malicious Code: Ships malicious scripts inside the skill and executes them locally

Findings (3)

T09 · Insecure Skill Coding Practices

Error

• Location: monitor.py:78

Finding

Remote security notifications are silently discarded

Content

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Remediation

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T09 · Insecure Skill Coding Practices

Warning

• Location: monitor.py:52

Finding

CPU temperature monitoring failures are silently suppressed

Content

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Remediation

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T09 · Insecure Skill Coding Practices

Note

• Location: monitor.py:43

Finding

Memory monitoring fails when the monitor is imported as a module

Content

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Remediation

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SkillSpector

Vulnerability Patterns

• Behavioral AST: exec() Call, eval() Call, Dynamic Import
• MCP Least Privilege: Underdeclared Capability, Wildcard Permission, Missing Permission Declaration
• MCP Tool Poisoning: Hidden Instructions, Unicode Deception, Parameter Description Injection
• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration

Findings (6)

Tp4

High

• Category: MCP Tool Poisoning
• Confidence: 90% confidence

Finding

The documented behavior does not match the apparent implementation: key claims such as Feishu/Discord alerting and network monitoring are described as supported while analysis indicates they are incomplete or placeholder-only. This is dangerous because operators may rely on the skill for security-relevant monitoring and alert delivery that does not actually occur, leading to missed incidents or delayed response.

Content

No source excerpt is available for this finding.

Undeclared Tool Scope

Medium

• Category: MCP Least Privilege
• Confidence: 86% confidence

Finding

The skill advertises or implies shell-based operational capability but does not declare any explicit tool scope such as permissions or allowed-tools. This creates a least-privilege and transparency problem: an agent or user may invoke shell-capable behavior without a clearly bounded execution policy, increasing the risk of unintended command execution against the NAS host.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium

• Category: Not specified by scanner
• Confidence: 91% confidence

Finding

The file header and later user-facing strings indicate the skill presents operational output in Chinese, but there is no opt-in, language selection, or justification that the skill is region-specific. This can violate a language/locale policy when users are not given a choice.

Content

No source excerpt is available for this finding.

subprocess module call

Medium

• Category: Dangerous Code Execution
• Confidence: 70% confidence

Finding

subprocess module calls execute external commands. Without careful input validation, this enables command injection.

Content

Scanner excerpt · monitor.py (reported line 26)May include surrounding context.

python

def check_disk_usage(self):
        """检查磁盘使用率"""
        result = subprocess.run(['df', '-h'], capture_output=True, text=True)
        lines = result.stdout.strip().split('\n')[1:]
        
        for line in lines:

Description-Behavior Mismatch

Medium

• Category: Not specified by scanner
• Confidence: 95% confidence

Finding

The skill description says it monitors NAS health and auto-alerts via Feishu/Discord. However, the notification function is a stub with a TODO and no outbound messaging logic, so the code does not actually perform the described alert delivery behavior.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

• Category: Not specified by scanner
• Confidence: 91% confidence

Finding

The main descriptive content begins in Chinese and the feature list continues in that language, with no indication that other languages are supported or that the user can choose a preferred locale. This can violate language/locale policy expectations when a skill forces a specific language without opt-in.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.