io.github.dingdawg/dingdawg-compliance

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EU AI Act + Colorado AI Act compliance scoring. 87/100 in 60 seconds. Free local scan.

Que pouvez-vous faire avec io.github.dingdawg/dingdawg-compliance ?

  • Conduct impact assessments before deployment
  • Disclose AI use to consumers at point of decision
  • Provide appeal and human review mechanisms
  • Designate a Responsible AI Officer
  • Test for discriminatory bias
  • Maintain a 3-year audit trail

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package dingdawg-compliance
Claude Code
claude mcp add dingdawg-compliance -e 'DINGDAWG_API_KEY=<your dingdawg_api_key>' -- npx -y dingdawg-compliance@2.0.11
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "dingdawg-compliance": {
            "command": "npx",
            "args": [
                "-y",
                "dingdawg-compliance@2.0.11"
            ],
            "env": {
                "DINGDAWG_API_KEY": "<your dingdawg_api_key>"
            }
        }
    }
}

Variables d'environnement

  • DINGDAWG_API_KEY secret API key for paid tier access — get free at dingdawg.com

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. dingdawg-compliance
  2. What it does
  3. Install
  4. Usage
  5. Use as a library
  6. The 25 CO SB 205 Controls
  7. What this doesn't include
  8. License
  9. Contributing

dingdawg-compliance

Colorado SB 205 AI Act compliance scanner. Run it in 60 seconds. Get your score. Know your gaps before June 30, 2026.

pip install dingdawg-compliance
python3 -m dingdawg_compliance scan

What it does

Colorado SB 205 requires any company using AI for consequential decisions (employment, housing, credit, insurance, healthcare, education) to:

  • Conduct impact assessments before deployment
  • Disclose AI use to consumers at point of decision
  • Provide appeal and human review mechanisms
  • Designate a Responsible AI Officer
  • Test for discriminatory bias
  • Maintain a 3-year audit trail

This tool scores your readiness across all 25 SB 205 controls. Free. No signup. Runs locally.


Install

pip install dingdawg-compliance

Requires Python 3.9+. No external dependencies — stdlib only.


Usage

python3 -m dingdawg_compliance scan

Walk through all 25 controls. Answer y/n/skip for each. Get your score at the end.

Example output:

──────────────────────────────────────────────────────
  Overall Score: 44/100  [████████░░░░░░░░░░░░]  NEEDS WORK
──────────────────────────────────────────────────────

  Category Scores:
    ~ scope                  100%
    ✗ impact_assessment        0%
    ✗ transparency            33%
    ✗ appeal                   0%
    ~ governance              50%
    ✗ bias_testing             0%
    ✗ data_governance          0%
    ✗ incident_response       50%
    ✓ audit                  100%

  ⚠ Critical gaps (2) — mandatory under SB 205:
    • CO-3   Pre-Deployment Impact Assessment
    • CO-6   Consumer Disclosure at Point of Decision

  Need the full remediation report?
  → dingdawg.com/compliance  (CO SB 205 gap report — $199)
Score from a JSON file
python3 -m dingdawg_compliance score responses.json

Format for responses.json:

{
  "CO-1": true,
  "CO-2": true,
  "CO-3": false,
  "CO-4": null
}

true = implemented, false = not implemented, null = unknown (scored as not implemented).

List all 25 controls
python3 -m dingdawg_compliance controls

Use as a library

from dingdawg_compliance import calculate_co_sb205_score, CO_SB_205_CONTROLS

# Score a self-assessment
responses = {
    "CO-1": True,   # scope: identified consequential decisions
    "CO-3": False,  # impact_assessment: no pre-deployment assessment yet
    "CO-6": True,   # transparency: consumer disclosure implemented
    # ... rest of controls
}

result = calculate_co_sb205_score(responses)
print(result["score"])           # 0-100
print(result["gaps"])            # list of unimplemented controls
print(result["critical_gaps"])   # CO-3, CO-6, CO-10, CO-14 if missing
Track assessments in SQLite
from dingdawg_compliance import ComplianceStore, ComplianceScorer, ComplianceFramework

store = ComplianceStore()  # stored at ~/.dingdawg/compliance/compliance.db

# Register and assess a control
store.assess_control("CO-3", status="COMPLIANT", assessor="legal-team", notes="Completed Q1 2026")

# Score
scorer = ComplianceScorer(store)
print(scorer.overall_posture_score())   # e.g. 72.0
print(scorer.per_framework_score())     # per-framework breakdown
print(scorer.gap_analysis())            # prioritized gap list
Automated checks (read-only)
from dingdawg_compliance import AutoAssessor
from pathlib import Path

assessor = AutoAssessor(
    base_dir=Path("./src"),
    db_paths=[Path("./data/app.db")]
)

results = assessor.run_all_checks()
print(results["checks"]["access_controls"]["summary"])
print(results["checks"]["audit_logging"]["summary"])

The 25 CO SB 205 Controls

IDCategoryControlCritical
CO-1scopeConsequential Decision Identification
CO-2scopeHigh-Risk AI System Classification
CO-3impact_assessmentPre-Deployment Impact Assessment★
CO-4impact_assessmentAnnual Impact Assessment Review
CO-5impact_assessmentImpact Assessment Documentation
CO-6transparencyConsumer Disclosure at Point of Decision★
CO-7transparencyDisclosure Timing
CO-8transparencyDisclosure Content — AI Role
CO-9transparencyDisclosure Content — Data Used
CO-10appealAppeal Mechanism★
CO-11appealHuman Review Option
CO-12appealOpt-Out Mechanism
CO-13appealAppeal Response Timeline
CO-14governanceResponsible AI Officer Designation★
CO-15governanceAI Inventory
CO-16governanceVendor Due Diligence
CO-17governancePolicy Documentation
CO-18bias_testingPre-Deployment Bias Testing
CO-19bias_testingOngoing Bias Monitoring
CO-20bias_testingProtected Class Analysis
CO-21data_governanceTraining Data Documentation
CO-22data_governanceData Minimization
CO-23incident_responseAI Incident Response Plan
CO-24incident_responseError Notification
CO-25auditThird-Party Audit Trail

★ Critical — mandatory remediation required before June 30, 2026.


What this doesn't include

This scanner shows what to check and where your gaps are. It does not generate remediation plans, regulatory citations, evidence templates, or audit-ready documentation.

For the full gap report with remediation guidance → dingdawg.com/compliance


License

Apache 2.0 — free to use, fork, and contribute.

Contributing

PRs welcome for new indicators, additional frameworks, or CLI improvements. Open an issue first for anything structural.

Questions fréquentes

Qu'est-ce que io.github.dingdawg/dingdawg-compliance ?

EU AI Act + Colorado AI Act compliance scoring. 87/100 in 60 seconds. Free local scan.

Comment installer io.github.dingdawg/dingdawg-compliance ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add dingdawg-compliance -e 'DINGDAWG_API_KEY=<your dingdawg_api_key>' -- npx -y dingdawg-compliance@2.0.11. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.dingdawg/dingdawg-compliance ?

Oui. Il attend DINGDAWG_API_KEY, à renseigner dans sa configuration.

io.github.dingdawg/dingdawg-compliance est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient io.github.dingdawg/dingdawg-compliance ?

Il est publié par dingdawg. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.