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Security audit

qa-ai-blindspot-compensation

Security checks for vulnerabilities and agentic risk

Overview

This is a Markdown-only QA helper that guides test blind-spot review and does not show hidden execution, persistence, or data exfiltration behavior.

Install only if you want a Chinese-language QA blind-spot checklist. Keep its file reads scoped to the requirements and test cases you intend to review, and do not run the optional `npx skills add Kokxi/qa-test-skills` command unless you separately trust that package/source.

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

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger conditions are very broad (e.g., phrases like '还有什么没测到', '全面覆盖', '遗漏场景'), which can cause the skill to activate in routine QA discussion even when the user did not intend to invoke it. Unintended activation can alter agent behavior, consume extra context/tools, and bias outputs toward this workflow, reducing reliability and potentially exposing more repository context than necessary.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The manifest and document content are written entirely in Chinese and instruct operation in that language, but they do not state that the skill is region-specific or offer an opt-in choice for other languages. Under the policy, forcing a specific language without user choice is a natural-language policy violation unless the constraint is clearly justified.

Content

No source excerpt is available for this finding.

Rp1

Medium
Category
MCP Rug Pull
Confidence
91% confidence
Finding

The skill recommends installing a package via npx skills add Kokxi/qa-test-skills without pinning a specific version or immutable source. That creates a supply-chain risk: a later compromised or incompatible release could be fetched and executed at install time, and npx commonly runs package code during resolution/execution.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The entire reference file is written only in Chinese and provides all operational guidance exclusively in that language. Under the stated policy, forcing a specific language without user choice can be a natural-language policy violation unless the locale constraint is explicitly documented and justified, which is not present here.

Content

No source excerpt is available for this finding.