Security audit

Xueqiu Hot Cn

Security checks for vulnerabilities and agentic risk

Overview

This skill does not appear to steal data or persist on the system, but it presents static mock stock-discussion data as current Xueqiu financial activity.

Review this skill carefully before installing if you need real market or sentiment data. It should not be used for investment decisions unless the publisher either implements an authorized live data source with timestamps and attribution or clearly labels all output as simulated sample data.

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

Findings (1)

other

Warning

Location: scripts/xueqiu_fetch.py:10
Finding: Static Mock Financial Data Presented as Current Market Information
Content: View full analysis
Remediation: View remediation

SkillSpector

Vulnerability Patterns

Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
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: 94% confidence
Finding: The trigger terms include very broad keywords such as “股票” and “投资”, which are common in many unrelated finance conversations. This can cause unintended invocation of the skill, leading to incorrect routing, noisy activations, or accidental exposure of finance-oriented outputs when the user did not explicitly request this skill.
Content: No source excerpt is available for this finding.

Intent-Code Divergence

Medium

Category: Not specified by scanner
Confidence: 95% confidence
Finding: The module docstring says 'Xueqiu Hot Discussions Fetcher' and the function docstring says '获取雪球热门', which suggests real retrieval behavior. However, the function immediately constructs mock_posts and labels it simulated data, so the documentation and apparent intent conflict with the actual implementation.
Content: No source excerpt is available for this finding.

Description-Behavior Mismatch

Medium

Category: Not specified by scanner
Confidence: 98% confidence
Finding: The manifest describes a monitor that gets Xueqiu trending stock discussions, investment insights, and top posts. In the code, get_xueqiu_hot is explicitly documented as returning simulated data and simply slices a static in-memory list, so the implemented behavior does not match the claimed live-fetching/monitoring purpose.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 88% confidence
Finding: This code includes Chinese-only natural-language strings in the module description, docstring, and formatted output. Under the policy, forcing a specific language without user opt-in can be a locale/language policy violation unless the constraint is clearly documented and justified.
Content: No source excerpt is available for this finding.