mols-markdown-dashboard
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill adheres to security best practices by using
yaml.safe_loadfor all YAML parsing, which prevents unsafe deserialization of arbitrary Python objects. - [SAFE]: File integrity is protected through an atomic write pattern; the skill renders content to a temporary file and uses
os.replacefor the final update, preventing data corruption during failures. - [SAFE]: Output sanitization filters (
markdown_cell,markdown_inline) are employed to escape control characters like pipes (|) and normalize line breaks, ensuring that untrusted data cannot break the structure of the rendered Markdown tables. - [SAFE]: The dashboard loader implements strict schema validation that rejects unknown YAML keys with specific path information, providing robust defense against malformed or malicious configuration data.
Audit Metadata