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Security audit

csv-processing

Security checks for vulnerabilities and agentic risk

Overview

This is a simple pandas CSV helper skill with expected examples for reading, cleaning, and writing CSV files.

Safe to install for ordinary CSV and pandas help. Before running the write examples, confirm the output filename and directory so you do not overwrite an existing CSV unintentionally.

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
  • 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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

Missing User Warnings

Low
Confidence
89% confidence
Finding
This markdown skill includes `to_csv(...)` examples that write results to local files, which is a file-modifying operation. The surrounding documentation presents these actions as straightforward examples but does not warn users that running them will create or overwrite CSV files on disk.

Static analysis

No suspicious patterns detected.