image-to-campaign-funnel-generator
Fail
Audited by Gen Agent Trust Hub on Jun 30, 2026
Risk Level: CRITICALREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill provides troubleshooting instructions for installing the Higgsfield CLI using the pattern
curl -sSL https://install.higgsfield.ai/install.sh | sh. This method is highly insecure as it executes code from a remote, unverified third-party server directly with the user's shell privileges without integrity checks. - [COMMAND_EXECUTION]: The skill instructs the agent to execute shell commands that incorporate unvalidated user-controlled variables. Specifically, the
{slug}variable, derived from the product name during the interview phase, is interpolated directly into commands likemkdir -p kampagne-{slug}andhiggsfield generate ... --output kampagne-{slug}/.... This provides a direct path for command injection if a user provides a product name containing shell metacharacters. - [COMMAND_EXECUTION]: The skill also executes various local commands for orchestration, including starting a Python web server (
python -m http.server) and running the Higgsfield CLI for video generation and reframing. - [EXTERNAL_DOWNLOADS]: The skill fetches external code and assets from multiple sources, including JavaScript libraries from
cdn.jsdelivr.net(GSAP, ScrollTrigger), web fonts fromfonts.googleapis.com, and media assets via the Higgsfield API. - [PROMPT_INJECTION]: The skill ingests untrusted user data during the initial product interview (Phase 1) and interpolates this content into Brand Briefs and subsequent AI generation prompts without sanitization or boundary markers. This exposes the skill to indirect prompt injection, where malicious user input could manipulate the orchestration logic or the content generated by the Higgsfield models.
Recommendations
- HIGH: Downloads and executes remote code from: https://install.higgsfield.ai/install.sh - DO NOT USE without thorough review
- AI detected serious security threats
Audit Metadata