Security audit

AI Identity Verification (Three-Anchor-One-Vote)

Security checks for vulnerabilities and agentic risk

Overview

This is a methodology-only skill for AI identity/provenance review and does not install code or request hidden access.

Before installing, note that the skill is primarily written in Chinese and asks users to provide evidence such as account, behavior, memory, or provenance details. Share only information you are comfortable using for an identity/provenance assessment, especially in medical, legal, or other sensitive contexts.

A.I.G

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

SkillSpector

Vulnerability Patterns

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
Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep

Findings (1)

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 78% confidence
Finding: The display name is presented only in Chinese, and the document predominantly frames the skill in Chinese-first terms. While English metadata is present elsewhere, there is no explicit statement that users may choose their preferred language, which can conflict with language/locale choice expectations.
Content: No source excerpt is available for this finding.