datalad

Pass

Audited by Gen Agent Trust Hub on Sep 10, 2026

Risk Level: SAFEINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADS
Full Analysis
  • [INDIRECT_PROMPT_INJECTION]: The skill describes a workflow where an agent may ingest untrusted datasets and execute recorded commands via datalad rerun.
  • Ingestion points: datalad clone from arbitrary URLs in SKILL.md and references/data-access.md.
  • Boundary markers: The skill mentions tool-specific delimiters (=== Do not change lines below ===) used in commit messages to store execution records.
  • Capability inventory: The skill has access to the Bash tool and documents commands like datalad run and containers-run which execute arbitrary shell and containerized commands.
  • Sanitization: No sanitization is mentioned for command strings extracted from dataset provenance records.
  • [COMMAND_EXECUTION]: The skill uses the Bash tool to perform operations and documents the use of datalad run, rerun, and containers-run for executing shell commands and containerized software environments.
  • [EXTERNAL_DOWNLOADS]: The skill downloads software packages from PyPI (git-annex, datalad) and fetches scientific datasets from services such as GitHub, OpenNeuro, and DANDI. It also retrieves container images from Docker Hub and Singularity Hub.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 10, 2026, 10:56 PM
Security Audit — agent-trust-hub — datalad