1. Conduid
  2. Security
  3. io.github.DingDawg-dev/dingdawg-compliance
MCP server · Security

io.github.DingDawg-dev/dingdawg-compliance

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

Unclaimed security
37Low

Scored 6 months ago · breakdown

About io.github.DingDawg-dev/dingdawg-compliance

io.github.DingDawg-dev/dingdawg-compliance is an MCP server in the Security category: eU AI Act + Colorado AI Act compliance scoring. 87/100 in 60 seconds. Free local scan.

Install

Claude Code
claude mcp add io-github-dingdawg-dev-dingdawg-compliance -- npx -y dingdawg-compliance
npx
npx -y dingdawg-compliance

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about io.github.DingDawg-dev/dingdawg-compliance

Powered by Claude · Grounded in docs

I know everything about io.github.DingDawg-dev/dingdawg-compliance. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ✓README presentThe repository ships documentation.

5 checks have not been run yet.

README

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

Interactive scan (recommended)

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

ID Category Control Critical
CO-1 scope Consequential Decision Identification
CO-2 scope High-Risk AI System Classification
CO-3 impact_assessment Pre-Deployment Impact Assessment ★
CO-4 impact_assessment Annual Impact Assessment Review
CO-5 impact_assessment Impact Assessment Documentation
CO-6 transparency Consumer Disclosure at Point of Decision ★
CO-7 transparency Disclosure Timing
CO-8 transparency Disclosure Content — AI Role
CO-9 transparency Disclosure Content — Data Used
CO-10 appeal Appeal Mechanism ★
CO-11 appeal Human Review Option
CO-12 appeal Opt-Out Mechanism
CO-13 appeal Appeal Response Timeline
CO-14 governance Responsible AI Officer Designation ★
CO-15 governance AI Inventory
CO-16 governance Vendor Due Diligence
CO-17 governance Policy Documentation
CO-18 bias_testing Pre-Deployment Bias Testing
CO-19 bias_testing Ongoing Bias Monitoring
CO-20 bias_testing Protected Class Analysis
CO-21 data_governance Training Data Documentation
CO-22 data_governance Data Minimization
CO-23 incident_response AI Incident Response Plan
CO-24 incident_response Error Notification
CO-25 audit Third-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.

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About io.github.DingDawg-dev/dingdawg-compliance

How do I install io.github.DingDawg-dev/dingdawg-compliance?

Run claude mcp add io-github-dingdawg-dev-dingdawg-compliance -- npx -y dingdawg-compliance, then add the server to your MCP client's configuration.

Is io.github.DingDawg-dev/dingdawg-compliance safe to use with an AI agent?

Its trust score is 37 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is io.github.DingDawg-dev/dingdawg-compliance still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.