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Security audit

Shopee-商品详情 | 青虎AI

Security checks for vulnerabilities and agentic risk

Overview

The skill is a coherent Shopee data lookup tool, but it also directs the agent to install or upgrade local tooling and store an API token, so it should be reviewed before use.

Install only if you are comfortable letting the skill set up qhkit/Node tooling on the machine and configure a Qinghu API token. Prefer a preinstalled, reviewed qhkit version in a disposable or controlled environment, confirm any paid Qinghu credit use before calls, and avoid automatic @latest upgrades if reproducibility matters.

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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Rogue AgentSelf-Modification, Session Persistence
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Findings (6)

Context-Inappropriate Capability

High
Category
Not specified by scanner
Confidence
97% confidence
Finding

This skill goes far beyond querying product details by directing the agent to install Node.js, globally install packages, configure tokens, and modify the host environment. That is dangerous because a simple data-retrieval skill should not bootstrap tooling on the system; doing so expands the attack surface, enables supply-chain compromise, and can lead to unauthorized code execution on the host.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The trigger language is broad enough that many generic requests about Shopee product data could cause automatic invocation of this paid external tool. In context, this is risky because the skill includes paid calls and environment-setup behavior, so over-triggering can cause unnecessary external data sharing, charges, and repeated exposure to risky execution paths.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The 何时触发 section gives only broad positive examples and no exclusion rules, making it easy for an agent to invoke the skill in situations outside its intended scope. Because the skill can lead to billable external calls and even host-environment modification guidance, ambiguity in triggering materially increases operational and security risk.

Content

No source excerpt is available for this finding.

Rp1

Medium
Category
MCP Rug Pull
Confidence
88% confidence
Finding

The skill instructs use of npx @iqinghu/qhkit without pinning a specific version, which allows whatever version is current at execution time to be fetched and run. In a security-sensitive agent context, this creates a supply-chain and reproducibility risk because upstream changes or a compromised package release could alter behavior unexpectedly.

Content

No source excerpt is available for this finding.

Session Persistence

Medium
Category
Rogue Agent
Confidence
95% confidence
Finding

This finding is substantively the same persistent-environment issue: unpacking Node into a user-controlled directory and exporting it into PATH changes execution behavior beyond the current task. In the context of an otherwise simple product-detail lookup skill, that persistence is disproportionate and increases the chance of future unintended code execution or reliance on unreviewed tooling.

Content

Scanner excerpt · SKILL.md (reported line 93)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
95% confidence
Finding

This finding is substantively the same persistent-environment issue: unpacking Node into a user-controlled directory and exporting it into PATH changes execution behavior beyond the current task. In the context of an otherwise simple product-detail lookup skill, that persistence is disproportionate and increases the chance of future unintended code execution or reliance on unreviewed tooling.

Content

Scanner excerpt · SKILL.md (reported line 93)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.