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Security audit

ai-architecture-harness-zh

Security checks for vulnerabilities and agentic risk

Overview

This skill is a Chinese-language architecture-guidance aid that reads and updates project documentation/tests in ways that match its stated purpose.

Install this if you want Chinese-language guidance for creating architecture guardrails in a codebase. Expect it to ask the agent to read project documentation and, when relevant, create or update repository docs and tests; review those changes like normal code changes.

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
  • 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

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The skill name includes a Chinese locale marker ('-zh') and the visible instructions/content are written in Chinese, but the file does not state that language use is optional or user-selectable. Under the policy, language constraints should offer user opt-in or be clearly justified as region-specific; neither is present here.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.