ultimate-ai-content-pipeline
Warn
Audited by Gen Agent Trust Hub on Jun 29, 2026
Risk Level: MEDIUMEXTERNAL_DOWNLOADSCOMMAND_EXECUTIONCREDENTIALS_UNSAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs the user to download a source code repository from an untrusted GitHub account (
https://github.com/pennydinh/marketing-pineline-share.git). This repository does not belong to the skill author (Aradotso) or a verified trusted organization. - [COMMAND_EXECUTION]: The instructions require executing shell commands such as
npm installandnpm run buildon the downloaded third-party code. This is a high-risk operation as package installation scripts or the code itself could contain malicious logic that executes with the user's local permissions. - [CREDENTIALS_UNSAFE]: The documentation asks the user to provide sensitive credentials in a
.env.localfile, includingREMOTION_AWS_SECRET_ACCESS_KEYandDATABASE_URL. While standard for local development, providing these secrets to an unverified third-party codebase increases the risk of credential exposure or exfiltration. - [INDIRECT_PROMPT_INJECTION]:
- Ingestion points: The
scrapeNewsSourcefunction (SKILL.md) ingest untrusted data from TechCrunch, Twitter/X, and LinkedIn. - Boundary markers: The scraped data is interpolated into AI prompts using
JSON.stringify(SKILL.md), which is insufficient to prevent an attacker from embedding instructions within the scraped content that could influence the AI's behavior. - Capability inventory: The skill has the capability to execute shell commands (Remotion rendering), write files to the
out/directory, and perform network requests via scraping modules. - Sanitization: There is no evidence of sanitization or validation of the scraped data before it is sent to the LLM (Claude/OpenAI).
Audit Metadata