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Security audit

gaokao-advisor

Security checks for vulnerabilities and agentic risk

Overview

This is a Chinese gaokao admissions-advice skill that uses user-provided scores and public admissions data, with no hidden execution, persistence, or privilege behavior found.

Before installing, understand that this skill may ask for exam scores, province, subject category, preferences, and optional personal-interest details to make recommendations. Share only what is needed, and verify all admissions cutoffs and school data against official provincial exam authority or school sources before making final decisions.

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 (4)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger list is excessively broad and includes very common education-related terms such as '高考', '报考', '专业选择', '选大学', and '大学排名', which can cause the skill to activate in many loosely related conversations. Over-broad activation increases the chance the agent enters this skill inappropriately, leading to irrelevant guidance, unnecessary collection of sensitive student information, and reduced reliability of routing to more suitable skills.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The document is entirely written in Chinese and framed as guidance for AI behavior, but it does not indicate that Chinese is optional or limited to a China-specific user context. Under the language/locale policy rule, forcing a specific language without opt-in is a natural-language policy concern.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
86% confidence
Finding

This markdown file is entirely written in Chinese and presents guidance as a general reference document, but it does not indicate that the skill is China-specific, nor does it offer users a language choice. Under the policy, forcing a specific language without user opt-in can be a natural-language policy violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The file’s instructional content is fully presented in Chinese, and there is no natural-language indication that users may choose another language or that the skill is intentionally restricted to a Chinese-speaking or region-specific audience. Under the stated policy, forcing a specific language without user opt-in can be a locale-policy violation.

Content

No source excerpt is available for this finding.