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Security audit

AI Video Generation

Security checks for vulnerabilities and agentic risk

Overview

This is a coherent AI video-generation guidance skill that discloses its provider API use and scoped local preference memory.

Before installing, be comfortable with sending prompts and any reference media you choose to the listed video providers, and periodically review ~/video-generation/memory.md or history.md if you do not want project preferences or cost notes retained locally.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (3)

Autonomous Decision Making

Medium
Category
Excessive Agency
Confidence
80% confidence
Finding

Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.

Content

Scanner excerpt · setup.md (reported line 52)May include surrounding context.

test -n "$FAL_KEY" && echo "Fal configured"

text

Never ask users to paste secrets into chat.

## Memory Updates

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The skill instructs the agent to update persistent memory after meaningful sessions with model preferences, prompt patterns, and cost/latency history, but does not warn users that behavioral preferences and usage patterns will be stored. Persistent profiling can expose sensitive workflow habits over time and creates privacy risk beyond the immediate session.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The setup instructions direct the agent to create a local workspace and copy a memory file into the user's home directory without any explicit user notice or consent. This creates persistent local state and modifies user data, which can violate user expectations and privacy requirements even if the content is not inherently malicious.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.