@_FORAB Tweet Generator

Security checks across malware telemetry and agentic risk

Overview

This is a non-executable writing template for drafting Chinese tweets in a named account’s style, with no hidden access, posting automation, or persistence.

Safe to install as a writing aid. Before publishing, fact-check market, political, and financial claims, and do not imply that @_FORAB authored, endorsed, or is affiliated with the generated content.

SkillSpector

By NVIDIA
Vulnerability Patterns
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (2)

Vague Triggers

Medium
Confidence
88% confidence
Finding
The skill is activated through very broad natural-language phrasing such as '请用 @_FORAB 风格生成…', without clear scoping, disambiguation, or exclusion rules. This can cause accidental invocation or prompt collisions with unrelated user requests, especially in multi-skill environments, leading to unintended content generation and reduced user intent integrity.

Natural-Language Policy Violations

Medium
Confidence
76% confidence
Finding
The description hardcodes Chinese-language output behavior without documenting it as a locale-specific skill or offering a language selection mechanism. In practice this can create user confusion, mismatched outputs, and unreliable behavior when the broader system or user expects another language, which is a policy and safety quality issue rather than a direct exploit primitive.

VirusTotal

65/65 vendors flagged this skill as clean.

View on VirusTotal