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 belt CLI (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 belt CLI 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/cli using 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
Risk Level
SAFE
Analyzed
Sep 2, 2026, 02:18 PM
Security Audit — agent-trust-hub — ai-content-pipeline