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Security audit

二手交易

Security checks for vulnerabilities and agentic risk

Overview

This is a plain guidance skill for planning second-hand trading monetization and does not request system access, credentials, execution, persistence, or hidden authority.

Installing this skill should be low risk. Users should treat it as general business-planning advice for second-hand trading and still verify platform rules, taxes, contracts, and legal requirements before acting on any monetization plan.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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 (1)

Vague Triggers

Low
Category
Not specified by scanner
Confidence
79% confidence
Finding

The description says the skill should be called '当你计划从事或优化二手交易时调用', which covers a wide range of situations without defining specific trigger phrases, scope limits, or exclusion examples. In a manifest/markdown context, this can lead to unintended activation for general discussion about second-hand trading rather than a clear, narrow invocation condition.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.