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Security audit

MSA分析技能

Security checks for vulnerabilities and agentic risk

Overview

The skill is a coherent MSA analysis guide with no evidence of hidden network access, credential use, persistence, or destructive behavior.

Before installing, verify that any referenced analysis scripts come from a trusted package path because this artifact only includes documentation. Treat uploaded measurement files and generated HTML reports as potentially sensitive, since reports may contain analysis results and embedded charts that should not be shared broadly.

A.I.G

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

SkillSpector

Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • 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
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (4)

Tp2

High
Category
MCP Tool Poisoning
Confidence
85% confidence
Finding

Mixing characters from multiple Unicode scripts in a single identifier is a common technique to create visually ambiguous tool names.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

L015 除了列出较具体的关键词外，还写了“或需要评估测量系统准确性时”，这一条件边界不清，未说明具体上下文、限定词或排除情形。该表述可能覆盖较宽泛的用户意图，增加非预期调用此技能的风险。

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
87% confidence
Finding

The skill describes processing uploaded user data and generating HTML reports, but does not clearly warn users about produced artifacts or where sensitive measurement data may be embedded. This matters because generated HTML with Base64-embedded charts can retain business-sensitive data and may be shared or stored without users realizing the report contains the underlying analysis results.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
92% confidence
Finding

The TRACE assessment claims the skill is a 'pure documentation/script skill' with 'no external dependency risk,' but the document explicitly instructs execution of multiple local Python scripts and relies on several third-party packages. This mismatch can cause reviewers or operators to underestimate the attack surface from script execution, file parsing, and dependency-related issues, leading to unsafe deployment assumptions.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.