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Security audit

counterexample-teacher

Security checks for vulnerabilities and agentic risk

Overview

This is a narrow teaching skill that gives counterexamples to claims, with no code execution, data access, persistence, or hidden high-impact behavior.

Install this if you want a Chinese-oriented skill for testing claims by looking for exceptions. Be aware it may answer narrowly with counterexamples for broad questions like whether a statement is reliable, so you may need to ask explicitly if you want a full explanation or another language.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The trigger phrases are broad, generic conversational prompts such as asking for exceptions, boundaries, or whether a claim is reliable. In an agentic environment, this can cause accidental or overly eager invocation on ordinary user questions, leading the skill to override more appropriate skills and produce narrowed 'counterexample-only' outputs that may distort user intent.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The instructional content from the title through the output template and examples is written entirely in Chinese and directs the skill's behavior in Chinese, while not giving the user any language or locale choice. Although bilingual metadata exists, the operative instructions do not state that responses should follow the user's preferred language, which creates a locale policy risk.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
85% confidence
Finding

All user-facing instructions and examples are in Chinese, and the behavior is described without any opt-in or language-selection mechanism. This can amount to forcing a specific language/locale by default, which the policy says to flag unless choice or justification is provided.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.