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Security audit

LLM 发展趋势报告 (Ray1012)

Security checks for vulnerabilities and agentic risk

Overview

This is a markdown-only skill for generating Chinese LLM trend reports, with web search instructions that fit its stated purpose and no evidence of hidden execution, persistence, credential access, or data exfiltration.

Install this if you want Chinese-language LLM trend reports that use current web research. Be aware that it may activate for broad AI-frontier or model-dynamics requests, and one referenced file, references/papers-trends.md, is mentioned but not included in the package.

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
Vulnerability Patterns
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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 activation text uses very broad trigger phrases such as LLM trends, AI frontier, technical prediction, and model dynamics, which can overlap with many ordinary AI-related user requests. This can cause the skill to activate when the user did not specifically ask for a trend report, leading to unintended tool routing, irrelevant behavior, or overshadowing more appropriate skills.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The skill content is written to produce Chinese-language output by default and does not provide a user language choice. While not directly enabling code execution or data exfiltration, this can violate user expectations, reduce usability, and create routing or response mismatches in multilingual environments.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.