ClawHub
Back to skill

Security audit

Gpt Tasteskill

Security checks for vulnerabilities and agentic risk

Overview

This skill is an opinionated frontend design guide with no hidden code, persistence, credential use, or destructive behavior.

Install this if you want a highly prescriptive frontend design assistant. Expect it to steer UI work toward AIDA structure, GSAP motion, external placeholder imagery, and strict formatting preferences; review generated code normally before running or deploying it.

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)

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

Line L11 instructs the skill to avoid emojis and maintain strictly professional formatting, which imposes a fixed communication style regardless of user preference. This can be a natural-language policy concern when the skill does not offer any user opt-in or alternative language/style choice.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.