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Security audit

Avatar Content Engine UGC - OpenClaw

Security checks for vulnerabilities and agentic risk

Overview

This is a content-production guidance skill for AI-avatar social videos, with no executable code, persistence, or hidden data access found.

Installers should treat this as a specialized avatar-content workflow. Confirm before spending credits, uploading reference media or audio, cloning any real person's voice, or producing content in sensitive categories such as finance, health, privacy, or security. The broad trigger wording may make the agent prefer this pipeline for loosely related social-video requests, so override it when you only want general 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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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
Findings (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill explicitly says it should trigger even when a request only loosely mentions an avatar, TikTok/Reel, a portrait, or a content pipeline. That broad matching can cause the agent to invoke this skill in contexts where the user did not clearly request it, leading to overreach, irrelevant automation, or accidental replacement of safer/general behavior with this specialized pipeline. In an agent system, overly broad activation is a real security and safety concern because it expands the skill's authority surface.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
77% confidence
Finding

The avatar definitions prescribe fixed language styles such as 'Gen-Z gamer' voice and similar tightly constrained tone/persona requirements. This can amount to forcing a particular language or locale style on outputs without stating that the user can choose or override the language/register.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.