mlops-tensorboard
Pass
Audited by Gen Agent Trust Hub on Nov 3, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: No malicious patterns or security vulnerabilities were detected in this skill.
- [REMOTE_CODE_EXECUTION]: The skill provides standard installation commands using
pipfor well-known packages liketensorboard,torch, andtensorflow. No execution from untrusted or unknown remote sources was found. - [DATA_EXFILTRATION]: All network operations are limited to local TensorBoard server hosting (defaulting to localhost) or interactions with established machine learning frameworks. No sensitive data access or external exfiltration patterns were identified.
- [INDIRECT_PROMPT_INJECTION]: The skill documents logging of text and metadata (e.g., model predictions logged via
writer.add_text). While this represents a data ingestion surface where untrusted model outputs could be stored, it is a standard functionality of the visualization toolkit and does not pose a direct threat in this context. - [OBFUSCATION]: The skill content and instructions are provided in clear, plain-text markdown and standard Python/Bash code. No obfuscation techniques such as Base64 encoding, zero-width characters, or homoglyph attacks were detected.
- [DYNAMIC_CONTEXT_INJECTION]: The skill does not utilize dynamic context injection patterns (e.g., the
!commandsyntax) for executing shell commands at load time.
Audit Metadata