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Security audit

qa-domain-modeling

Security checks for vulnerabilities and agentic risk

Overview

This is a documentation-only domain-modeling skill that asks the agent to read local requirement context and produce state, data-flow, and service-dependency models.

Install only if you want a Chinese-oriented QA domain-modeling helper. Review the optional npx command before running it, because it installs a broader skill set from the current remote package state.

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
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • 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
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (4)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The description contains broad trigger phrases such as requests about state machines, data flow, modeling, and complex requirements without clear boundaries or exclusions. Over-broad activation can cause the agent to invoke this skill in unrelated contexts, which may misroute workflows, override more appropriate skills, or expand access to documents unnecessarily.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
86% confidence
Finding

The primary natural-language instructions and trigger definitions are written in Chinese, which can effectively impose a language expectation on usage without explicitly offering a language choice. The file includes one English sentence, but it does not clearly state that users may interact in their preferred language.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The when-to-use field repeats expansive activation conditions and lacks exclusion logic, making automatic or heuristic invocation more error-prone. In agent systems, ambiguous routing can lead to unintended context loading, wasted tokens, and incorrect outputs being generated under the wrong skill assumptions.

Content

No source excerpt is available for this finding.

Rp1

Medium
Category
MCP Rug Pull
Confidence
93% confidence
Finding

The skill includes an installation command using npx skills without pinning a specific package version or integrity source. This can cause users to fetch whatever version is current at execution time, increasing supply-chain risk if the package is updated maliciously, compromised, or changed incompatibly.

Content

No source excerpt is available for this finding.