ClawHub
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Security audit

Training Satisfaction

Security checks for vulnerabilities and agentic risk

Overview

This is a documentation-only training survey workflow skill whose personal-data handling is purpose-aligned but should be used with normal privacy controls.

Before installing, confirm that survey distribution and reminders use approved channels, minimize trainee personal data, separate identities from anonymous response content where possible, and set retention, deletion, and access-control rules for historical reports and trend data.

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 (2)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The skill explicitly processes trainee names, contact details, survey responses, and automated reminders, but it provides no privacy constraints, consent requirements, retention limits, or guidance on handling personal data. In a workflow involving distribution, collection, analysis, and historical trend storage, this omission can lead to over-collection, unauthorized sharing, and non-compliant processing of personally identifiable information.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The entire skill description, examples, and stated behavior are presented only in Chinese, with no indication that users may choose another language or locale. This can be a natural-language policy issue when a skill effectively forces a specific language without opt-in or documented locale justification.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.