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Security audit

US Stock Radar

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed, read-only US stock analysis tool that queries public market data and does not handle accounts, credentials, trades, persistence, or local data mutation.

Install only if you are comfortable with the skill making public web requests to market-data providers. Treat its stock grades as heuristic analysis, not investment advice, and do not connect it to brokerage credentials or trading workflows.

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
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • 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 (1)

Lp3

Medium
Category
MCP Least Privilege
Confidence
91% confidence
Finding
The skill performs network access to public market data APIs, but the manifest does not declare an explicit tool scope such as allowed network permissions. That creates a governance and transparency gap: reviewers and runtime policy systems cannot reliably constrain where the skill may connect, so future code changes could broaden outbound access without corresponding manifest review.

Static analysis

No suspicious patterns detected.