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sica-fondt/knowledge/cyber-skills/skills/building-devsecops-pipeline-with-gitlab-ci/assets/template.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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GitLab DevSecOps Pipeline Implementation Template

Pipeline Security Scanner Checklist

Scanner Enabled Template Included Threshold Set Blocking
SAST [ ] [ ] Severity: _____ [ ]
DAST [ ] [ ] Severity: _____ [ ]
Container Scanning [ ] [ ] Severity: _____ [ ]
Dependency Scanning [ ] [ ] Severity: _____ [ ]
Secret Detection [ ] [ ] N/A [ ]
License Scanning [ ] [ ] Policy: _____ [ ]

Security Policy Configuration

Policy Type Name Scope Enforcement
Scan Execution [ ] All branches [ ] Default only [ ] Required
MR Approval Severity trigger: _____ Approvers: _____

Environment-Specific DAST Targets

Environment URL Auth Method Scan Type Schedule
Staging [ ] None [ ] Token [ ] Cookie [ ] Passive [ ] Full
Pre-production [ ] None [ ] Token [ ] Cookie [ ] Passive [ ] Full

Vulnerability SLA Targets

Severity Detection to Triage Triage to Fix Total SLA
Critical 4 hours 24 hours 48 hours
High 24 hours 5 days 7 days
Medium 48 hours 14 days 30 days
Low 1 week 30 days 90 days