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DSI: 9/9 L1 (was 6/9), 13698 words (was 6461), all FNs resolved. Social Media: 10/10 L1 (was 9/10). Services: 31 detected (was 5). Impressum: 9/13 (USt-IdNr + V.i.S.d.P. fixed). Widerruf: NOT correctly tested (wrong text assigned, needs Cross-Doc Intelligence). Full service list (31 providers) documented with country + EU status. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
ZeroClaw Compliance Agent Demo
Autonomer Compliance-Agent der Web-Dokumente (Cookie-Banner, Datenschutzerklaerungen) analysiert und die Ergebnisse an die zustaendige Rolle weiterleitet.
Architektur
ZeroClaw Agent (Rust, Mac Mini)
│
├── LLM: Qwen 3.5:35b-a3b (Ollama, localhost:11434)
│
├── Compliance SDK (Go/Gin, localhost:8093)
│ ├── /sdk/v1/llm/chat → Dokumentklassifizierung
│ ├── /sdk/v1/ucca/assess → Risikobewertung
│ └── /sdk/v1/ucca/escalations → Eskalation + Rollenzuweisung
│
├── Backend (Python/FastAPI, localhost:8002)
│ └── /api/compliance/agent/notify → Email-Benachrichtigung
│
└── Mailpit (SMTP localhost:1025, Web localhost:8025)
└── Fiktive Email-Zustellung
Voraussetzungen
- ZeroClaw v0.7.3+ (
brew install zeroclaw) - Ollama mit
qwen3.5:35b-a3bModell - Alle Compliance-Services laufen (SDK, Backend, Mailpit)
Demo ausfuehren
# 1. ZeroClaw mit Ollama verbinden (einmalig)
zeroclaw onboard --quick --provider ollama --model qwen3.5:35b-a3b
# 2. SOP ausfuehren
zeroclaw agent -m "Analysiere die Datenschutzerklaerung von https://www.google.com/intl/de/policies/privacy/"
# 3. Ergebnis pruefen
open http://localhost:8025 # Mailpit Web-UI
E2E Test
bash zeroclaw/tests/test_sop_workflow.sh
SOP-Workflow (6 Schritte)
- Fetch — URL holen, HTML strippen
- Classify — Dokumenttyp bestimmen (privacy_policy, cookie_banner, etc.)
- Assess — DSGVO-Risikobewertung via UCCA
- Summarize — Manager-Report auf Deutsch
- Assign — Zustaendige Rolle bestimmen (E0-E3 Mapping)
- Notify — Email an DSB/Teamleitung senden