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 clonefrom arbitrary URLs inSKILL.mdandreferences/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
Bashtool and documents commands likedatalad runandcontainers-runwhich 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
Bashtool to perform operations and documents the use ofdatalad run,rerun, andcontainers-runfor 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