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Security audit

Pku Alumni Association

Security checks for vulnerabilities and agentic risk

Overview

This skill is a simple offline lookup helper for PKU alumni-association information and does not show hidden access, persistence, or unsafe behavior.

Safe to install for PKU alumni-association lookups. Users should be aware it may trigger on broad PKU-related questions and that contact, event, tax, or donation details are static/example-style content that should be checked against official PKU or foundation sources before acting.

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 (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The trigger description is broad enough to activate on generic mentions of 北京大学/PKU rather than clear alumni-association requests. This can cause the agent to invoke the wrong skill, leading to misrouting, irrelevant responses, and possible disclosure or presentation of alumni-related contact/donation information when the user did not intend to access that domain.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

This code's natural-language interface and output strings are effectively fixed to Chinese, including the program description and all user-facing text. Under the policy, forcing a specific language without user opt-in can be a locale/language policy violation unless the restriction is clearly justified.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.