ClawHub
Back to skill

Security audit

Compliance Audit Generator

Security checks for vulnerabilities and agentic risk

Overview

This is a Markdown-only compliance audit helper whose sensitive business-context questions are disclosed and aligned with its purpose.

Use high-level summaries rather than raw confidential records. Do not provide secrets, credentials, customer identifiers, PHI, PCI data, or detailed exploitable security gaps unless your organization has approved that workflow. Treat the output as readiness guidance, not a substitute for legal, compliance, or certified audit advice.

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 explicitly asks users to provide sensitive organizational details such as security controls, data types, certifications, and known gaps, but gives no warning to avoid sharing confidential, regulated, or customer-specific information. In a compliance context, users may disclose highly sensitive security posture details or regulated data that could be exposed to the model or downstream systems, increasing privacy, security, and legal risk.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.