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sica-fondt/knowledge/cyber-skills/skills/implementing-container-image-minimal-base-with-distroless/references/workflows.md
Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure 
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

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Workflows - Distroless Container Images

Migration Workflow

  1. Identify current base image and its package footprint
  2. Select appropriate distroless variant for your runtime
  3. Create multi-stage Dockerfile with build and runtime stages
  4. Test application functionality with distroless base
  5. Scan both old and new images to compare CVE counts
  6. Update debugging procedures (ephemeral containers, debug variants)
  7. Deploy to staging and validate
  8. Roll out to production

Image Build Pipeline

  1. Build application in builder stage (full SDK image)
  2. Copy only runtime artifacts to distroless stage
  3. Set non-root user via :nonroot tag
  4. Scan final image with Trivy/Grype
  5. Sign image with cosign
  6. Push to registry with digest pinning