ClawHub
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Security audit

Case Study Generator

Security checks for vulnerabilities and agentic risk

Overview

This is a prompt-only case-study writing skill, but its marketing material includes advice that could encourage nondisclosure to clients about AI-assisted work.

Review the client-disclosure issue before installing or selling services with this skill. Use it only with customer-approved quotes, authorized metrics, and human fact-checking, and disclose AI assistance where contracts, professional norms, or client expectations require 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 (3)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The marketing copy explicitly encourages selling AI-generated case study packages without client disclosure ('Your clients don't need to know you used a skill'). This promotes deceptive business practices and can create legal, contractual, and reputational risk if customers expect human-authored deliverables or require disclosure of AI assistance. In this marketing context, the issue is more dangerous because it is framed as a repeatable service playbook and monetization tactic, increasing the likelihood of misuse at scale.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill explicitly requests identifiable customer contact details and customer quotes as input, but provides no guidance on consent, minimization, or safe handling of personal data. In a marketing case-study context, this creates a real privacy risk because users may submit names, roles, testimonials, and potentially confidential business information without authorization, leading to disclosure or misuse of personal and client data.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
77% confidence
Finding

The file presents fixed output formats such as an SEO blog post in English and does not offer any language or locale choice. Under the policy rule, forcing a specific language without user opt-in can be a natural-language policy issue when no region-specific justification is provided.

Content

No source excerpt is available for this finding.