ai-automation-workflows
Pass
Audited by Gen Agent Trust Hub on Mar 20, 2026
Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSDATA_EXFILTRATIONPROMPT_INJECTION
Full Analysis
- [PROMPT_INJECTION]: The skill contains multiple surfaces for indirect prompt injection.
- Ingestion points: The
conditional_workflow.shscript ingests command-line arguments, anddata_processing.shreads the entire content of external text files. - Boundary markers: No delimiters or explicit instructions to ignore embedded commands are used when interpolating this data into prompts.
- Capability inventory: The skill can execute various AI models via the
infshtool and perform network requests viacurl. - Sanitization: There is no evidence of validation or escaping of external content before it is processed by AI models.
- [EXTERNAL_DOWNLOADS]: The documentation references an external installation script for the CLI tool hosted on the vendor's repository:
https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md. - [COMMAND_EXECUTION]: The provided templates rely on executing system commands through Bash scripts and the Python
subprocessmodule to orchestrate AI tasks. - [DATA_EXFILTRATION]: The skill includes a
monitored_workflow.shexample that demonstrates sending command execution results and error logs to an external webhook URL usingcurl.
Audit Metadata