deploying-machine-learning-models

Pass

Audited by Gen Agent Trust Hub on Mar 24, 2026

Risk Level: SAFENO_CODEEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
  • [SAFE]: No malicious patterns, obfuscation, or unauthorized access attempts were detected in the provided documentation and configuration files.
  • [NO_CODE]: The actual implementation logic for model deployment and monitoring (e.g., deploy_model.py, monitor_model.py) was not provided for analysis; only their descriptions in scripts/README.md were reviewed.
  • [EXTERNAL_DOWNLOADS]: The documentation indicates that deploy_model.py automates dependency installation, which is a standard requirement for the skill's stated purpose of environment setup.
  • [PROMPT_INJECTION]: The skill presents an attack surface for indirect prompt injection by processing user-supplied models and deployment parameters. * Ingestion points: User requests for model deployment as described in SKILL.md examples. * Boundary markers: No explicit delimiters are present in the documentation to separate user inputs from instruction logic. * Capability inventory: The skill is designed to perform deployment tasks that involve shell execution and file system modifications. * Sanitization: No explicit sanitization or validation steps for user-provided deployment data are documented in the provided files.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 24, 2026, 04:53 PM