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Security audit

文献结构逻辑要点提炼

Security checks for vulnerabilities and agentic risk

Overview

This is a simple academic-paper analysis skill with no code execution, persistence, credential use, or hidden data movement.

Install this skill if you want Chinese-language help summarizing the logic of academic papers. Be mindful that it may trigger on broad paper-analysis phrases, and only provide files or paper text you are comfortable having analyzed in the current agent session.

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
93% confidence
Finding

The trigger list includes broad natural-language phrases such as '找出创新点' and '理清论文思路' that can plausibly appear in many ordinary academic conversations, causing the skill to activate when the user did not explicitly request this specialized behavior. Over-broad activation can misroute user requests, override more appropriate skills, and create prompt-injection exposure by increasing the number of contexts in which the skill is invoked.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The skill metadata and content are entirely in Chinese and implicitly constrain interaction/output to Chinese without indicating fallback behavior or honoring user language preference. This can cause incorrect or inaccessible responses for users operating in other languages, and in multi-skill environments it may produce unexpected behavior when selected for non-Chinese requests.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.