ad-creative
Warn
Audited by Gen Agent Trust Hub on Jul 27, 2026
Risk Level: MEDIUMEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONPROMPT_INJECTION
Full Analysis
- [UNVERIFIABLE_DEPENDENCIES_AND_REMOTE_CODE_EXECUTION]: The skill recommends the installation and execution of code from unverified third-party sources.
- In
references/imessage-video-ads.md, it suggests usingnpx gooseworks install --allto install an external pipeline. This repository is noted as public but lacks an open-source license. - In
references/generative-tools.md, it instructs the user or agent to clone and setup an external project:git clone https://github.com/jamiepine/voicebox.gitfollowed bymake setupandmake dev. - [INDIRECT_PROMPT_INJECTION]: The skill's core workflow involves processing untrusted external data, which could contain malicious instructions.
- Ingestion points: Reads customer reviews and campaign comments from the
inputs/reviews/andinputs/comments/directories (SKILL.md). - Boundary markers: The instructions lack explicit delimiters or warnings to the agent to treat this data as untrusted content when interpolating it into prompts.
- Capability inventory: The skill uses subprocess execution to interact with
google-ads,meta-ads,linkedin-ads, andtiktok-adsCLI tools, and performs file writing in dated output folders. - Sanitization: There is no mention of sanitizing or validating the ingested reviews or comments; instead, the skill emphasizes using the customer language "verbatim" to ensure grounded generation.
- [COMMAND_EXECUTION]: The skill frequently invokes shell commands to pull performance data and manage campaigns.
- Evidence includes example commands like
node tools/clis/google-ads.js reports getand references to using various platform CLIs (Google Ads, Meta, LinkedIn, TikTok) inSKILL.mdandreferences/creative-roadmap.md. - [DYNAMIC_EXECUTION]: The skill describes a complex pipeline for generating video ads that involves rendering HTML/CSS/JS in a headless browser (Playwright) driven by JSON data scripts (
references/imessage-video-ads.md). While this is a common approach for the described task, execution of runtime-generated content on a local system carries inherent risks.
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