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Security audit

Market Research Agent

Security checks for vulnerabilities and agentic risk

Overview

This is a Markdown-only market research framework that is broadly disclosed, but users should know it defaults to Chinese output and a United States market lens.

Install this only if you want a structured market research assistant that normally writes in Chinese and analyzes from a US-market perspective. For non-US markets or another output language, explicitly override those assumptions in your prompt and verify business-critical recommendations with current sources.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (6)

Natural-Language Policy Violations

High
Category
Not specified by scanner
Confidence
96% confidence
Finding

Forcing all user insights and recommendations to a fixed US-market perspective without user choice can systematically distort outputs when the user asks about other regions. In this skill context, that creates a high risk of materially incorrect market advice, false assumptions about users, and decisions based on the wrong regulatory, cultural, and channel environment.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

High
Category
Not specified by scanner
Confidence
96% confidence
Finding

The pre-analysis workflow hard-codes the target market to the United States for every task, which can override clear user intent and contaminate all downstream modules with the wrong locale assumptions. Because the skill produces decision-oriented research reports, this increases the likelihood of harmful business recommendations, invalid competitor sets, and inaccurate consumer behavior analysis.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The trigger list is broad and includes common phrases like market research, product analysis, and user insights, which can cause the skill to activate for ordinary requests that may not need this rigid workflow. Over-broad activation increases the chance of unintended instruction takeover, where the skill's fixed constraints override user intent and lead to irrelevant or misleading outputs.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The activation section defines many positive matches but no boundaries for when the skill should not load, so unrelated or partially related requests may be captured. In an agent setting, this can create prompt-scope confusion and force the assistant into a prescriptive analysis mode that suppresses safer or more appropriate handling of the user's actual request.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The instruction “默认中文输出” imposes a specific output language as a fixed rule, but the document does not offer the user a language choice or opt-in mechanism. This is a natural-language policy concern because it forces locale behavior regardless of user preference.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The document states '输出默认使用中文' as a fixed rule, which imposes a specific language on outputs. The policy allows locale or language constraints only when the user is given a choice or when the constraint is clearly documented and justified as region-specific; neither condition is met for output language here.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.