| name | agentic-government-starter-kit |
| version | 1.0.0 |
| description | Snel starten met agentic government development. Scaffold, configureer en deploy multi-agent workflows voor overheidsprocessen. Gebruik bij nieuwe projecten, team-onboarding, of proof-of-concept.
|
| triggers | {"keywords":["starter kit","quick start","scaffold","template","boilerplate","npx","init","agent template","government template"]} |
| tools | ["Read","Glob","Grep","Bash","Task","Write","Edit"] |
Agentic Government Starter Kit
Snel beginnen met agentic government development. Dit skill biedt
templates, configuraties en stapsgewijze instructies voor het opzetten
van multi-agent workflows binnen de Nederlandse overheid.
Wanneer deze skill gebruiken
- Nieuw overheidssoftware-project opzetten
- Team onboarding voor agentic development
- Proof-of-concept voor compliance-automatisering
- Multi-agent workflow design
- Government AI project initiatie
Snel Starten
Stap 1: Project Scaffold
Maak een nieuw agentic government project aan:
my-gov-project/
├── agents/
│ ├── compliance-agent.yaml
│ ├── architect-agent.yaml
│ └── security-agent.yaml
├── workflows/
│ ├── compliance-pipeline.yaml
│ └── incident-response.yaml
├── skills/
│ └── (symlink naar overheid-plugins/skills/)
├── tests/
│ ├── scenarios/
│ │ ├── happy-path.yaml
│ │ ├── edge-cases.yaml
│ │ └── worst-case.yaml
│ └── conftest.py
├── ci/
│ └── validate-skills.yml
├── monitoring/
│ ├── prometheus-rules.yaml
│ └── grafana-dashboard.json
└── README.md
Stap 2: Configureer Agents
Gebruik deze templates als basis:
Compliance Agent Template
name: compliance-agent
version: 1.0.0
role: Compliance Officer
organisation:
level: rijk | provincie | gemeente | waterschap | uitvoeringsorgaan
name: "Mijn Organisatie"
system_prompt: |
Je bent de Compliance Agent voor [ORGANISATIE].
Je controleert of voldaan wordt aan:
- NORA architectuurprincipes
- BIO2 beveiligingsmaatregelen
- AVG/GDPR vereisten
- Toegankelijkheid (WCAG 2.2)
- EU AI Act (bij AI-systemen)
Beleid:
- L1 regels: automatisch uitvoeren
- L2 regels: uitzonderingen flaggen voor review
- L3 regels: altijd escaleren naar mens
- L4 regels: NIET automatiseren, alleen adviseren
primary_skills:
- nora-architectuur
- bio-security-baseline
- avg-privacy
- digitoegankelijk
- dpia-assessment
escalation:
target: jurist
threshold: 0.95
method: human-review
monitoring:
metrics_endpoint: /metrics
log_level: INFO
audit_trail: true
Security Agent Template
name: security-agent
version: 1.0.0
role: Security Expert
organisation:
level: rijk | provincie | gemeente | waterschap | uitvoeringsorgaan
name: "Mijn Organisatie"
system_prompt: |
Je bent de Security Agent voor [ORGANISATIE].
Je controleert informatiebeveiliging op:
- BIO2 maatregelen (162 verplicht)
- NCSC richtlijnen (TLS, webapplicaties, basisprincipes)
- NIS2/Cyberbeveiligingswet compliance
- LLM security (OWASP Top 10)
- Digitale soevereiniteit (CLOUD Act)
Beleid:
- Kritieke beveiligingsissues: direct escaleren
- BIO2 non-compliance: flaggen met deadline
- LLM security: alleen advisering, geen automatische actie
primary_skills:
- bio-security-baseline
- llm-security
- overheid-authenticatie
- digitale-soevereiniteit
escalation:
target: ciso
threshold: 0.97
method: immediate-alert
monitoring:
metrics_endpoint: /metrics
log_level: WARN
audit_trail: true
Privacy Agent Template
name: privacy-agent
version: 1.0.0
role: Privacy Officer
organisation:
level: rijk | provincie | gemeente | waterschap | uitvoeringsorgaan
name: "Mijn Organisatie"
system_prompt: |
Je bent de Privacy Agent voor [ORGANISATIE].
Je controleert AVG/GDPR compliance:
- Rechtmatigheid van verwerking
- Data minimisation
- Bewaartermijnen
- DPIA-vereisten
- Verzoekrechten (inzage, correctie, verwijdering)
- Logboek Dataverwerkingen
Beleid:
- Hoog-risico verwerking: altijd escaleren
- DPIA-vereist: automatisch DPIA-template genereren
- Verzoekrechten: binnen 30 dagen afhandelen
primary_skills:
- avg-privacy
- dpia-assessment
- logboek-dataverwerkingen
- iama-assessment
escalation:
target: autoriteit-persoonsgegevens
threshold: 0.95
method: human-review
monitoring:
metrics_endpoint: /metrics
log_level: INFO
audit_trail: true
Stap 3: Definieer Workflows
name: compliance-pipeline
version: 1.0.0
description: End-to-end compliance checking voor overheidssoftware
steps:
- name: intake
agent: intake-agent
output: validated-input
- name: security-check
agent: security-agent
input: validated-input
output: security-report
escalation:
condition: critical-finding
target: ciso
- name: privacy-check
agent: privacy-agent
input: validated-input
output: privacy-report
escalation:
condition: high-risk-processing
target: privacy-officer
- name: architecture-check
agent: architect-agent
input: validated-input
output: architecture-report
escalation:
condition: new-standard
target: enterprise-architect
- name: synthesis
agent: synthesis-agent
input:
- security-report
- privacy-report
- architecture-report
output: compliance-report
- name: jurist-review
agent: human-gate
input: compliance-report
condition: confidence < 0.95
output: approved-report
- name: publication
agent: publication-agent
input: approved-report
output: published-decision
Stap 4: Test met Scenarios
name: happy-path-compliance
description: L1 regels, geen escalatie verwacht
input:
project: "Nieuwe gemeentelijke website"
type: website
data_classification: open
ai_involvement: false
expected:
security-result: PASS
privacy-result: PASS
architecture-result: PASS
escalations: 0
final-status: APPROVED
name: edge-case-ai-classification
description: L2 regels, escalatie bij AI-classificatie onzekerheid
input:
project: "AI-gestuurde werkzoekenden-advisering"
type: ai-system
data_classification: persoonsgegevens
ai_involvement: true
ai_risk_class: limited-risk
expected:
security-result: PASS-WITH-FINDINGS
privacy-result: DPIA-REQUIRED
architecture-result: PASS
escalations: 1
escalation-target: jurist
final-status: PENDING-REVIEW
Stap 5: CI/CD Integratie
name: Validate Skills
on:
push:
branches: [main]
pull_request:
branches: [main]
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Validate agent configurations
run: |
python3 -c "
import yaml, sys, os
errors = []
for root, dirs, files in os.walk('agents'):
for f in files:
if f.endswith('.yaml'):
path = os.path.join(root, f)
try:
with open(path) as fh:
data = yaml.safe_load(fh)
for field in ['name', 'role', 'system_prompt', 'primary_skills']:
if field not in data:
errors.append(f'{path}: missing {field}')
except Exception as e:
errors.append(f'{path}: {e}')
if errors:
for e in errors:
print(f'ERROR: {e}')
sys.exit(1)
print('All agent configurations valid')
"
- name: Validate workflow definitions
run: |
python3 -c "
import yaml, sys, os
for root, dirs, files in os.walk('workflows'):
for f in files:
if f.endswith('.yaml'):
path = os.path.join(root, f)
with open(path) as fh:
data = yaml.safe_load(fh)
assert 'steps' in data, f'{path}: missing steps'
for step in data['steps']:
assert 'name' in step, f'{path}: step missing name'
assert 'agent' in step, f'{path}: step missing agent'
print('All workflow definitions valid')
"
- name: Run scenario tests
run: |
echo "Running scenario tests..."
for scenario in tests/scenarios/*.yaml; do
echo "Testing: $scenario"
# In production: run actual agent workflow
echo "PASS: $scenario"
done
Monitoring Setup
Prometheus Rules
groups:
- name: agentic-government
rules:
- alert: HighEscalationRate
expr: rate(agent_escalations_total[5m]) > 0.2
for: 5m
labels:
severity: warning
annotations:
summary: "High escalation rate ({{ $value }})"
- alert: AgentConfidenceLow
expr: agent_confidence_score < 0.85
for: 10m
labels:
severity: warning
annotations:
summary: "Agent confidence below threshold"
- alert: ComplianceCheckFailed
expr: compliance_check_status == 0
labels:
severity: critical
annotations:
summary: "Compliance check failed"
Gerelateerde skills
Bronnen
- OpenMythos: ~/OpenMythos/analysis/legal-ruleops-platform/
- Djimitflo: ~/djimitflo/.data/djimitflo.sqlite
- JuraRegel: ~/Rechtspraak/rule-service/
- Prometheus: prometheus.io/docs/
- YAML spec: yaml.org/spec/
