Skill of Skills
📚 resourceActivePromisingmedium

turbinia

by google

Automation and Scaling of Digital Forensics Tools

Stars

789

Skill Type

⚙️ Infrastructure Operations

Quality Score

84/200

License

Apache-2.0

Forks

170

Last Updated

Jun 11, 2026

Discovered

Mar 25, 2026

Validation

Passed

github.com/google/turbinia

Quality Breakdown

84/ 200

Content Signals

○Gotchas/Edge Cases+40
✓Progressive Disclosure+30
○Trigger Description+20
○Verification/Safety+20
○Code Examples+15
✓Composability+15

Repo Health

✓Recent Activity+15
○Scripts/Automation+10
✓Real Usage (Issues)+10
✓Single Responsibility+10
✓Config/Persistence+10
✓Install Instructions+5

Multi-platform bonus: +5 pts if tool supports 2+ platforms. Score derived from 12 structural signals — not stars or popularity.

Trust & Verification

medium

Requires extended permissions (shell access, subagents). Review before use.

Active

Updated within the last 90 days. Actively maintained.

Unverified skill. Always review source code before installing any skill from an unknown author.

Risk Assessment

  • Docker multi-stage deployment infrastructure (api_server, controller, worker, server) enables autonomous distributed execution across multiple containers
  • Worker nodes and Celery task scheduling system allow distributed autonomous task execution without per-task human approval
  • Complex automation scripts (setup.sh, build.sh, start.sh) in docker directories for bootstrapping infrastructure
  • CloudBuild configuration files (cloudbuild.yaml) indicate CI/CD automation that could spawn multiple build/deployment stages
  • Kubernetes orchestration support (k8s/ directory) enables large-scale autonomous workload management
  • Kombu messaging and Celery framework enable asynchronous job queuing and worker coordination without explicit approval gates