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Security audit

AI生成文本检测 | 青虎AI

Security checks for vulnerabilities and agentic risk

Overview

The skill has a legitimate AI-text-detection purpose, but it can automatically install or upgrade unpinned external tooling on the user's machine for a simple text-checking task.

Review this skill before installing. It is designed to call a paid external text-detection service and may send the submitted text to that provider. Only allow setup if you are comfortable with npm/qhkit installation, Node installation or upgrade, PATH changes, and use of your Qinghu token; prefer preinstalling and pinning qhkit yourself.

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
  • Rogue AgentSelf-Modification, Session Persistence
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
Findings (6)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The manifest says the skill must trigger when the user says the listed phrases 'or提出同类需求', which expands activation beyond the concrete examples without defining boundaries. This can cause unintended invocation because many ordinary questions about AI-written text may partially match the intent with no exclusion conditions or negative examples.

Content

No source excerpt is available for this finding.

Context-Inappropriate Capability

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill’s core purpose is AI-text detection, but it additionally instructs the agent to install Node.js, install npm packages globally, and bootstrap tooling on the host. That is broader than required for the business task and expands the agent from data processing into system modification, increasing the chance of unsafe changes, privilege issues, and execution of unreviewed external code.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill includes shell commands, package installation, and environment-changing steps without an upfront warning that the local system may be modified. In an agent setting, missing advance disclosure increases the risk of silent or unexpected host changes, especially when the skill is auto-invoked for a seemingly simple content-analysis task.

Content

No source excerpt is available for this finding.

Rp1

Medium
Category
MCP Rug Pull
Confidence
82% confidence
Finding

The skill instructs fallback execution via npx @iqinghu/qhkit without pinning a specific version, which makes behavior non-deterministic and can pull newly published code at execution time. In an agent context, this increases supply-chain risk because the fetched package version could change unexpectedly or become malicious after the skill was authored.

Content

No source excerpt is available for this finding.

Session Persistence

Medium
Category
Rogue Agent
Confidence
89% confidence
Finding

This duplicate finding points to the same persistence behavior: unpacking binaries under the user home directory and adjusting PATH in a way that may survive the task. Persistent host modification is disproportionate to the skill’s narrow function and increases operational and security risk if the installed tooling later changes or is abused.

Content

Scanner excerpt · SKILL.md (reported line 88)May include surrounding context.

Linux 二进制安装(装到用户目录,无需 root;先校验官方 SHA256 再解包):

cd /tmp && curl -fsSLO https://nodejs.org/dist/v22.22.3/node-v22.22.3-linux-x64.tar.xz cd /tmp && curl -fsSL https://nodejs.org/dist/v22.22.3/SHASUMS256.txt | grep ' node-v22.22.3-linux-x64.tar.xz$' | sha256sum -c - mkdir -p "$HOME/.local/lib" && tar -xJf /tmp/node-v22.22.3-linux-x64.tar.xz -C "$HOME/.local/lib" export PATH="$HOME/.local/lib/node-v22.22.3-linux-x64/bin:$PATH"

text

Session Persistence

Medium
Category
Rogue Agent
Confidence
89% confidence
Finding

This duplicate finding points to the same persistence behavior: unpacking binaries under the user home directory and adjusting PATH in a way that may survive the task. Persistent host modification is disproportionate to the skill’s narrow function and increases operational and security risk if the installed tooling later changes or is abused.

Content

Scanner excerpt · SKILL.md (reported line 88)May include surrounding context.

Linux 二进制安装(装到用户目录,无需 root;先校验官方 SHA256 再解包):

cd /tmp && curl -fsSLO https://nodejs.org/dist/v22.22.3/node-v22.22.3-linux-x64.tar.xz cd /tmp && curl -fsSL https://nodejs.org/dist/v22.22.3/SHASUMS256.txt | grep ' node-v22.22.3-linux-x64.tar.xz$' | sha256sum -c - mkdir -p "$HOME/.local/lib" && tar -xJf /tmp/node-v22.22.3-linux-x64.tar.xz -C "$HOME/.local/lib" export PATH="$HOME/.local/lib/node-v22.22.3-linux-x64/bin:$PATH"

text

Static analysis

No suspicious patterns detected.