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Security audit

Yangxiaji Sideproject Generator

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward Chinese AI side-project planning helper that asks simple preference questions and can save a local plan file.

Install if you are comfortable with a Chinese-language planning workflow and a script that saves a generated markdown plan locally. Treat the business recommendations as generic guidance, since not every questionnaire answer affects the generated recommendation.

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
  • 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
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (4)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill prompt explicitly instructs the agent to produce output in Chinese only and does not provide any mechanism to detect or honor the user's language preference. This can exclude users, cause misunderstanding of advice, and create unsafe UX if users cannot clearly understand risk warnings or action steps.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

This markdown file is entirely written as a fixed Chinese-language output and provides no indication that the user can choose another language or locale. The policy requires flagging language or locale constraints when they are imposed without explicit user opt-in or a documented justification.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

This Python file contains user-facing instructions and prompts exclusively in Chinese, including the module docstring and later interactive output. Under the policy rule, forcing a specific language without user opt-in is a natural-language policy violation unless the locale restriction is clearly documented and justified.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

The module docstring presents the script as collecting user background information to generate a customized side-project plan. In practice, only work_status and skill_background affect the recommendation, while other collected inputs such as time_available, ai_interest, and resources are never used in the recommendation or plan generation logic.

Content

No source excerpt is available for this finding.