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Security audit

Sol Seo Health

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed SEO audit helper that reads a specific site, checks web-facing SEO files and links, and writes an audit log.

Before installing, verify the referenced external seo-health.py script and confirm the launchd job runs only for the intended thesolai.github.io repo and writes only the expected log file.

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
  • 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

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill requests file.write permission, but the description and user-facing documentation only describe auditing, logging, and validation behavior without clearly warning that the skill can modify files. This creates a transparency and consent problem: users may authorize the skill expecting read-only checks, while the implementation could alter repository content, logs, or other local files within its access scope.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.