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Security audit

游戏AI工具免费版

Security checks for vulnerabilities and agentic risk

Overview

This is mostly a game-AI Markdown guide, but it asks for broad exec/write-capable authority and includes loosely scoped deployment and network-diagnostic guidance beyond that purpose.

Review before installing. The content appears to be ordinary game-AI guidance, not malware, but it should be tightened to game-AI tasks only and should not receive exec/write authority unless you explicitly want the agent to run commands or edit project files for this skill.

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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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
Findings (6)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The manifest description uses vague, expansive activation guidance that can match many general-purpose coding requests. In an agent ecosystem, this can lead to inappropriate auto-selection of a skill with read/exec/write access, broadening exposure beyond its intended educational game-AI role.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The manifest description explicitly says the skill supports Chinese interaction, and the document is written to position Chinese interaction as the default behavior, but it does not offer user language choice or explain a necessary region-specific limitation. This may violate language/locale policy if users are steered into a specific language without opt-in.

Content

No source excerpt is available for this finding.

Description-Behavior Mismatch

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The skill is presented as a Markdown-based game AI guide, but it also instructs operational behavior such as deployment-related use and network diagnostics. This expands the trust boundary from documentation into agent action, increasing the chance that an agent will run commands unrelated to the narrow game-AI guidance purpose.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger condition is broad enough to match common software-development tasks such as coding assistance, debugging, testing, and deployment. Overbroad activation can cause this skill to be selected in unrelated contexts, exposing powerful tools and instructions where they are not needed and increasing the chance of unintended command execution or unsafe outputs.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The documented recommendation to execute ping/network diagnostic commands is not justified by a game AI code-template skill. Unnecessary shell-capable guidance can cause the agent to perform environment probing or network activity outside user intent, especially because the manifest enables exec/write tools.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
80% confidence
Finding

The file labels the skill as 'MD (纯 Markdown 指令 + 代码模板)' and says it is driven by natural-language instructions. Elsewhere it includes executable shell examples and security guidance specifically about command execution and HTTPS/network communication, which contradicts the idea that it is only passive Markdown/template content.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.