devops-dataops

Pass

Audited by Gen Agent Trust Hub on Oct 5, 2026

Risk Level: SAFECOMMAND_EXECUTIONEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTIONMETADATA_POISONING
Full Analysis
  • [COMMAND_EXECUTION]: The skill contains numerous templates for shell-based automation and CI/CD pipelines.
  • Provides GitHub Actions YAML workflows that run 'pip', 'dbt', and 'sqlfluff' CLI tools.
  • Includes bash snippets for monitoring data quality via BigQuery ('bq query') and 'jq'.
  • Commands are appropriate for the intended DataOps purpose.
  • [EXTERNAL_DOWNLOADS]: Pipeline examples reference well-known tools and official repositories.
  • Uses standard GitHub Actions such as 'actions/checkout', 'actions/setup-python', and 'actions/download-artifact'.
  • Installs verified packages including 'dbt-core', 'dbt-bigquery', 'sqlfluff', and 'great-expectations' from official registries.
  • [INDIRECT_PROMPT_INJECTION]: The skill has an inherent attack surface for indirect injection as it is designed to process external dbt models and warehouse metadata.
  • Ingestion points include dbt project files ('models/**') and warehouse schema metadata.
  • The recommended usage of manual approval gates and multi-stage environment promotion acts as a mitigation against automated exploitation.
  • [METADATA_POISONING]: Multiple reference files contain over 100 sections of repetitive filler content.
  • Documentation is presented as 'extremely dense technical specifications' for 'Staff+ Engineers' but consists of a small set of technical paragraphs repeated hundreds of times.
  • This technique inflates the skill size and obscures the signal-to-noise ratio, though no malicious variant was detected in the repetitions.
Audit Metadata
Risk Level
SAFE
Analyzed
Oct 5, 2026, 10:45 AM