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Security audit

Company Investment Research

Security checks for vulnerabilities and agentic risk

Overview

This is a coherent investment-research framework with illustrative data-fetching examples, not an installed tool or hidden automation.

Before installing, treat this as an analysis template. If you use its integration examples, run them only in a project directory you control and confirm any SEC, web, or financial API requests and local output paths first.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

Missing User Warnings

Low
Confidence
87% confidence
Finding
The skill includes concrete commands to download SEC filings, run a Python script, and chain automation that writes to local folders, but it does not explicitly warn the agent or user that these actions cause filesystem writes and external network access. In an agent setting, that omission can lead to unintended side effects or execution without informed approval, even though the examples are framed as normal research workflow rather than overtly harmful behavior.

Static analysis

No suspicious patterns detected.