Back to skill

Security audit

B站热门新番推荐

Security checks for vulnerabilities and agentic risk

Overview

This skill is a simple Bilibili anime-ranking helper that uses web search/fetch in a disclosed, purpose-aligned way and does not show hidden persistence, local data access, code execution, or destructive behavior.

Before installing, expect the skill to search the web for current Bilibili anime popularity data and to produce mostly Chinese-formatted Markdown. If you want it to activate only for Bilibili-specific requests or respond in your preferred language, adjust the trigger and language instructions, but no high-risk behavior was found.

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
  • 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 scope includes broad phrases like 'anime recommendations' and general requests about what to watch, which can cause the skill to activate outside its narrow Bilibili seasonal-anime purpose. Over-broad routing can mis-handle user intent, suppress better-matched skills, and lead the agent to perform unnecessary web access based on ambiguous conversational input.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
72% confidence
Finding

The file specifies the skill behavior and output structure primarily in Chinese while also declaring an English trigger phrase, but it does not state whether responses should follow the user's language preference. This can create a locale-policy issue by implicitly steering users into a fixed language experience without opt-in.

Content

No source excerpt is available for this finding.