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Security audit

Trade Journal Coach

Security checks for vulnerabilities and agentic risk

Overview

The skill is a local Chinese-language trade journal coach that analyzes user-provided trade records without network access, credential use, persistence, or account-changing actions.

Install this if you want Chinese-language trade journal review from local, user-supplied records. Treat the output as reflective coaching only, not investment advice or a trading signal.

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
  • 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 (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The example triggers are broad, conversational phrases like '帮我复盘这周的交易' and '连续亏了 5 笔，心态崩了', which can match many ordinary user messages without defining clear activation criteria. This can cause the skill to be invoked in situations where the user is venting or casually discussing losses rather than explicitly requesting structured analysis, increasing the chance of overreach and unintended behavior.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

This Python skill’s natural-language description and all generated user-facing report content are written exclusively in Chinese, with no option for the user to select another language. That creates a locale/language policy concern under the rule because the skill imposes a specific language without explicit opt-in or documented regional justification.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.