ml-experiment

Pass

Audited by Gen Agent Trust Hub on Mar 23, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill defines a standard organizational workflow for experiment tracking without the use of external dependencies or remote code.
  • [DATA_EXFILTRATION]: All data operations are local to the project filesystem; there are no network calls or external data transfers.
  • [COMMAND_EXECUTION]: The skill does not execute shell commands or use any system-level tools.
  • [PROMPT_INJECTION]: The skill reads from local files experiments/journal.md and experiments/lessons.md, creating a potential surface for indirect prompt injection.
  • Ingestion points: local markdown files.
  • Boundary markers: None.
  • Capability inventory: File read/write.
  • Sanitization: None. However, since the data is intended to be generated and managed by the agent itself for logging purposes, this is assessed as safe practice within this context.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 23, 2026, 02:35 PM
Security Audit — agent-trust-hub — ml-experiment