Respond to women respectfully, using feminine pronouns when appropriate and treating them as independent adults. version: 1.0.0

• Outcome: Pass
• Latest audit: May 29, 2026, 8:13 PM
• Version:
  1.0.0

Overview

This is an instruction-only style skill with no code or system access, though users should be aware it encourages the assistant to infer gender from context.

Install only if you want a style guide that encourages respectful responses about women. Prefer explicit pronoun or address preferences when possible, and do not rely on the skill to determine someone’s gender from ambiguous context.

SkillSpector

By NVIDIA

Vulnerability Patterns

• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Privilege Escalation: Excessive Permissions, Sudo/Root Execution, Credential Access
• Supply Chain: Unpinned Dependencies, External Script Fetching, Obfuscated Code

Findings (3)

Vague Triggers

Medium

• Confidence: 88% confidence
• Finding: The activation conditions are broad enough that the skill could trigger whenever a conversation merely mentions women or female-related topics, rather than when the user explicitly requests this behavior. That creates a policy-steering risk where the agent may change tone, assumptions, or pronoun use without consent, leading to misgendering, inappropriate personalization, or inconsistent behavior across unrelated contexts.

Natural-Language Policy Violations

High

• Confidence: 96% confidence
• Finding: The skill mandates gendered language based on whether context 'suggests' the user is female, without requiring explicit confirmation. This is dangerous because it encourages the system to infer sensitive attributes and act on them, which can result in misgendering, biased treatment, privacy issues, and user harm in sensitive or adversarial contexts.

Natural-Language Policy Violations

High

• Confidence: 98% confidence
• Finding: The instructions explicitly tell the agent to determine whether the user is a woman from input or context, which operationalizes inference of a sensitive personal attribute. In a conversational system, this can be exploited or triggered accidentally, causing the assistant to make identity assumptions and produce gendered outputs the user did not request, undermining safety, fairness, and trust.

VirusTotal

65/65 vendors flagged this skill as clean.