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Security audit

AI Trading Journal

Security checks for vulnerabilities and agentic risk

Overview

This skill is a coherent local trading journal that stores trade notes and reports, with privacy considerations because the journal can contain sensitive financial behavior.

Install only if you are comfortable keeping trade history, strategy notes, PnL, and emotional context in a local plaintext journal file. Review generated strategy changes before applying them to any live trading workflow.

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
  • 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 (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill description is broad enough to trigger on many ordinary trading-related requests, including performance reviews and strategy updates, without clear scope limits or user-confirmation boundaries. In an agent system, over-broad invocation can cause the skill to activate unexpectedly, exposing trading history or influencing decisions in contexts where the user did not explicitly request journal access.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill persistently stores detailed trading records, including strategy thesis, execution details, emotions, and performance, in a local file path without any warning about retention, sensitivity, or access controls. That data can reveal financial behavior and decision patterns, so silent persistence increases privacy and confidentiality risk, especially on shared machines or synced home directories.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.