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Security audit

Health Recorts

Security checks for vulnerabilities and agentic risk

Overview

This skill organizes user-provided health records locally with explicit privacy and consent boundaries.

Before installing, be aware that this skill is meant to process sensitive health records and create a persistent local folder of raw files, extracted notes, structured data, and summaries. Use it only for records you want organized this way, choose the storage location deliberately, and do not approve external OCR or API uploads unless you are comfortable sharing those health files with that provider.

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
  • 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
90% confidence
Finding

The example triggers are very broad everyday phrases that could cause the skill to activate for loosely related requests without making its boundaries explicit. In a health-records context, overscoped activation is riskier because it may lead the agent to collect, organize, or infer highly sensitive medical information before the user has clearly consented to that specific workflow.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The sharing/positioning text describes building a personalized health knowledge system but does not warn that the workflow involves sensitive medical data, including reports, scans, and longitudinal records. In this context, missing notice and handling guidance increases the chance that users will provide protected or highly sensitive health information without informed awareness of privacy, retention, and exposure risks.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.