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Security audit

ai-parody-video

Security checks for vulnerabilities and agentic risk

Overview

ClawScan classifies this skill as benign because the reported findings are considered expected for its purpose, while noting installation supply-chain and image-sharing risks; the scan was partial.

The verdict is benign, but not risk-free. Before installing, consider whether you are comfortable using the unpinned installer and check its version and source. If you use reference images, confirm which service will receive them and review its data handling terms before uploading. The scan was partial because one local path-like reference could not be resolved, so the available evidence does not cover that reference.

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
Vulnerability Patterns
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Output HandlingUnvalidated Output Injection, Cross-Context Output, Unbounded Output
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (2)

MCP server referenced without pinned version: 'npx skills'.

Medium
Category
MCP Rug Pull
Confidence
94% confidence
Finding

The installation example runs an unpinned npm package through npx and retrieves skill content without an immutable revision. Although this is an installer rather than an MCP server declaration, it presents a supply-chain risk: a compromised or unexpectedly changed release could execute code or install malicious agent instructions with the user's permissions.

Content

No source excerpt is available for this finding.

The reference-face workflow lacks a warning that images will be sent to third-party generation providers.

Medium
Category
Output Handling
Confidence
90% confidence
Finding

The workflow recommends using face-reference stills with externally hosted generation services without explicitly disclosing that those images may leave the user's environment. The skill's likeness-permission rules reduce misuse risk, but permission to depict someone does not necessarily authorize sharing their identifiable images with third-party processors.

Content

No source excerpt is available for this finding.