building-inferencesh-apps
Fail
Audited by Gen Agent Trust Hub on Jun 12, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill provides installation commands for the platform's CLI using a
curl | shpattern fromcli.inference.sh.- [REMOTE_CODE_EXECUTION]: Recommends installing development prerequisites such as 'uv', 'fnm', and 'nvm' using shell-piped installation scripts from their respective official domains and GitHub repositories.- [EXTERNAL_DOWNLOADS]: Refers to downloading AI models and software dependencies from Hugging Face, npm, and PyPI.- [PROMPT_INJECTION]: The skill documents the creation of applications that ingest user prompts, which creates an indirect prompt injection surface. - Ingestion points: Untrusted prompt data enters the application through
AppInput(Python) orRunInput(Node.js) models as seen inSKILL.mdand logic reference files. - Boundary markers: Code templates do not demonstrate the use of delimiters or 'ignore' instructions for the prompt data.
- Capability inventory: The documented applications have capabilities to perform network requests (
httpx,OpenAI), access the file system (Fileclass), and execute model-related logic. - Sanitization: The templates rely on platform-level validation and model-side guardrails rather than explicit content sanitization.
Recommendations
- HIGH: Downloads and executes remote code from: https://cli.inference.sh - DO NOT USE without thorough review
Audit Metadata