ai-content-pipeline
Pass
Audited by Gen Agent Trust Hub on Sep 2, 2026
Risk Level: SAFEINDIRECT_PROMPT_INJECTIONEXTERNAL_DOWNLOADS
Full Analysis
- [INDIRECT_PROMPT_INJECTION]: The skill defines workflows that ingest external data (such as blog content) and pipe the output of one AI model into another. This creates a potential surface for indirect prompt injection where instructions hidden in the input data could influence subsequent automated steps.
- Ingestion points: Processes external content and LLM-generated scripts as input for the
beltCLI (SKILL.md). - Boundary markers: The workflows use structured JSON objects (
--input '{\"prompt\": \"...\"}') to provide context to the tools, which helps separate data from instructions. - Capability inventory: The skill utilizes the
beltCLI tool to perform remote inference, media merging, and file operations. - Sanitization: Input is passed as strings within JSON structures to the underlying models via the CLI tool.
- [EXTERNAL_DOWNLOADS]: The skill references external dependencies and installation scripts to enable its functionality.
- The instructions suggest installing
belt-sh/cliusing a platform-specific package manager (npx skills add). - It links to installation documentation hosted on GitHub (
raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md) for the required CLI utility.
Audit Metadata