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Implementing Compliance

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ancoleman
implementing-compliance

Implement and maintain compliance with SOC 2, HIPAA, PCI-DSS, and GDPR using unified control mapping, policy-as-code enforcement, and automated evidence collection. Use when building systems requiring regulatory compliance, implementing security controls across multiple frameworks, or automating audit preparation.

Overview

Publisherancoleman
Repositoryai-design-components
Skill nameimplementing-compliance
Stars
523
Forks
73
Bundled files
19
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 19 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ancoleman on GitHub. Read the source before you install it.

Installation

Install the Implementing Compliance AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ancoleman/ai-design-components.git /tmp/ai-design-components
mkdir -p .claude/skills
cp -r /tmp/ai-design-components/skills/implementing-compliance .claude/skills/implementing-compliance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Implementing Compliance in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Implementing Compliance on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Implementing Compliance is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Compliance Frameworks

Implement continuous compliance with major regulatory frameworks through unified control mapping, policy-as-code enforcement, and automated evidence collection.

Purpose

Modern compliance is a continuous engineering discipline requiring technical implementation of security controls. This skill provides patterns for SOC 2 Type II, HIPAA, PCI-DSS 4.0, and GDPR compliance using infrastructure-as-code, policy automation, and evidence collection. Focus on unified controls that satisfy multiple frameworks simultaneously to reduce implementation effort by 60-80%.

When to Use

Invoke when:

  • Building SaaS products requiring SOC 2 Type II for enterprise sales
  • Handling healthcare data (PHI) requiring HIPAA compliance
  • Processing payment cards requiring PCI-DSS validation
  • Serving EU residents and processing personal data under GDPR
  • Implementing security controls that satisfy multiple compliance frameworks
  • Automating compliance evidence collection and audit preparation
  • Enforcing compliance policies in CI/CD pipelines

Framework Selection

Tier 1: Trust & Security Certifications

SOC 2 Type II

  • Audience: SaaS vendors, cloud service providers
  • When required: Enterprise B2B sales, handling customer data
  • Timeline: 6-12 month observation period
  • 2025 updates: Monthly control testing, AI governance, 72-hour breach disclosure

ISO 27001

  • Audience: Global enterprises
  • When required: International business, government contracts
  • Timeline: 3-6 month certification, annual surveillance

Tier 2: Industry-Specific Regulations

HIPAA (Healthcare)

  • Audience: Healthcare providers, health tech handling PHI
  • When required: Processing Protected Health Information
  • 2025 focus: Zero Trust Architecture, EDR/XDR, AI assessments

PCI-DSS 4.0 (Payment Card Industry)

  • Audience: Merchants, payment processors
  • When required: Processing, storing, transmitting cardholder data
  • Effective: April 1, 2025 (mandatory)
  • Key changes: Client-side security, 12-char passwords, enhanced MFA

Tier 3: Privacy Regulations

GDPR (EU Privacy)

  • Audience: Organizations processing EU residents' data
  • When required: EU customers/users (extraterritorial)
  • 2025 updates: 48-hour breach reporting, 6% revenue fines, AI transparency

CCPA/CPRA (California Privacy)

  • Audience: Businesses serving California residents
  • When required: Revenue >$25M, or 100K+ CA residents, or 50%+ revenue from data sales

For detailed framework requirements, see references/soc2-controls.md, references/hipaa-safeguards.md, references/pci-dss-requirements.md, and references/gdpr-articles.md.

Universal Control Implementation

Unified Control Strategy

Implement controls once, map to multiple frameworks. Reduces effort by 60-80%.

Implementation Priority:

  1. Encryption (ENC-001, ENC-002): AES-256 at rest, TLS 1.3 in transit
  2. Access Control (MFA-001, RBAC-001): MFA, RBAC, least privilege
  3. Audit Logging (LOG-001): Centralized, immutable, 7-year retention
  4. Monitoring (MON-001): SIEM, intrusion detection, alerting
  5. Incident Response (IR-001): Detection, escalation, breach notification

Control Categories

Identity & Access:

  • Multi-factor authentication for privileged access
  • Role-based access control with least privilege
  • Quarterly access reviews
  • Password policy: 12+ characters, complexity

Data Protection:

  • Encryption: AES-256 (rest), TLS 1.3 (transit)
  • Data classification and tagging
  • Retention policies aligned with regulations
  • Data minimization

Logging & Monitoring:

  • Centralized audit logging (all auth and data access)
  • 7-year retention (satisfies all frameworks)
  • Immutable storage (S3 Object Lock)
  • Real-time alerting

Network Security:

  • Network segmentation and VPC isolation
  • Firewalls with deny-by-default
  • Intrusion detection/prevention
  • Regular vulnerability scanning

Incident Response:

  • Documented incident response plan
  • Automated detection and alerting
  • Breach notification: HIPAA 60d, GDPR 48h, SOC 2 72h, PCI-DSS immediate

Business Continuity:

  • Automated backups with defined RPO/RTO
  • Multi-region disaster recovery
  • Regular failover testing

For complete control implementations, see references/control-mapping-matrix.md.

Compliance as Code

Policy Enforcement with OPA

Enforce compliance policies in CI/CD before infrastructure deployment.

Architecture:

Git Push → Terraform Plan → JSON → OPA Evaluation
                                    ├─► Pass → Deploy
                                    └─► Fail → Block

Example: Encryption Policy

Enforce encryption requirements (SOC 2 CC6.1, HIPAA §164.312(a)(2)(iv), PCI-DSS Req 3.4):

See examples/opa-policies/encryption.rego for complete implementation.

CI/CD Integration:

bash
terraform plan -out=tfplan.binary
terraform show -json tfplan.binary > tfplan.json
opa eval --data policies/ --input tfplan.json 'data.compliance.main.deny'

For complete CI/CD patterns, see references/cicd-integration.md.

Static Analysis with Checkov

Scan IaC with built-in compliance framework support:

bash
checkov -d ./terraform \
  --check SOC2 --check HIPAA --check PCI --check GDPR \
  --output cli --output json

Create custom policies for organization-specific requirements. See examples/checkov-policies/ for examples.

Automated Testing

Integrate compliance validation into test suites:

python
def test_s3_encrypted(terraform_plan):
    """SOC2:CC6.1, HIPAA:164.312(a)(2)(iv)"""
    buckets = get_resources(terraform_plan, "aws_s3_bucket")
    encrypted = get_encryption_configs(terraform_plan)
    assert all_buckets_encrypted(buckets, encrypted)

def test_opa_policies():
    result = subprocess.run(["opa", "eval", "--data", "policies/",
        "--input", "tfplan.json", "data.compliance.main.deny"])
    assert not json.loads(result.stdout)

For complete test patterns, see references/compliance-testing.md.

Technical Control Implementations

Encryption at Rest

Standards: AES-256, managed KMS, automatic rotation

AWS Example:

hcl
resource "aws_kms_key" "data" {
  enable_key_rotation = true
  tags = { Compliance = "ENC-001" }
}

resource "aws_s3_bucket_server_side_encryption_configuration" "data" {
  bucket = aws_s3_bucket.data.id
  rule {
    apply_server_side_encryption_by_default {
      sse_algorithm     = "aws:kms"
      kms_master_key_id = aws_kms_key.data.arn
    }
  }
}

resource "aws_db_instance" "main" {
  storage_encrypted = true
  kms_key_id       = aws_kms_key.data.arn
}

For complete encryption implementations including Azure and GCP, see references/encryption-implementations.md.

Encryption in Transit

Standards: TLS 1.3 (TLS 1.2 minimum), strong ciphers, HSTS

ALB Example:

hcl
resource "aws_lb_listener" "https" {
  port       = 443
  protocol   = "HTTPS"
  ssl_policy = "ELBSecurityPolicy-TLS13-1-2-2021-06"
}

Multi-Factor Authentication

Standards: TOTP, hardware tokens, biometric for privileged access

AWS IAM Enforcement:

hcl
resource "aws_iam_policy" "require_mfa" {
  policy = jsonencode({
    Statement = [{
      Effect = "Deny"
      NotAction = ["iam:CreateVirtualMFADevice", "iam:EnableMFADevice"]
      Resource = "*"
      Condition = {
        BoolIfExists = { "aws:MultiFactorAuthPresent" = "false" }
      }
    }]
  })
}

For application-level MFA (TOTP), see examples/mfa-implementation.py.

Role-Based Access Control

Standards: Least privilege, job function-based roles, quarterly reviews

Kubernetes Example:

yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: developer
  namespace: development
rules:
- apiGroups: ["", "apps"]
  resources: ["pods", "deployments", "services"]
  verbs: ["get", "list", "watch", "create", "update", "patch", "delete"]
- apiGroups: [""]
  resources: ["secrets"]
  verbs: ["get", "list"]  # Read-only

For complete RBAC patterns including AWS IAM and OPA policies, see references/access-control-patterns.md.

Audit Logging

Standards: Structured JSON, 7-year retention, immutable storage

Required Events: Authentication, authorization, data access, administrative actions, security events

Python Example:

python
class AuditLogger:
    def log_event(self, event_type, user_id, resource_type,
                  resource_id, action, result, ip_address):
        audit_event = {
            "timestamp": datetime.utcnow().isoformat() + "Z",
            "event_type": event_type.value,
            "user_id": user_id,
            "action": action,
            "result": result,
            "resource": {"type": resource_type, "id": resource_id},
            "source": {"ip": ip_address}
        }
        self.logger.info(json.dumps(audit_event))

Log Retention:

hcl
resource "aws_cloudwatch_log_group" "audit" {
  retention_in_days = 2555  # 7 years
  kms_key_id        = aws_kms_key.logs.arn
}

resource "aws_s3_bucket_object_lock_configuration" "audit" {
  bucket = aws_s3_bucket.audit_logs.id
  rule {
    default_retention { mode = "COMPLIANCE"; years = 7 }
  }
}

For complete audit logging patterns including HIPAA PHI access logging, see references/audit-logging-patterns.md.

Evidence Collection Automation

Continuous Monitoring

Automate evidence collection for continuous compliance validation.

Architecture:

AWS Config → EventBridge → Lambda → S3 (Evidence)
                                   → DynamoDB (Status)

Evidence Collection:

python
class EvidenceCollector:
    def collect_encryption_evidence(self):
        evidence = {
            "control_id": "ENC-001",
            "frameworks": ["SOC2-CC6.1", "HIPAA-164.312(a)(2)(iv)"],
            "timestamp": datetime.utcnow().isoformat(),
            "status": "PASS",
            "findings": []
        }
        # Check S3, RDS, EBS encryption status
        # Document findings
        return evidence

For complete evidence collector, see examples/evidence-collection/evidence_collector.py.

Audit Report Generation

Generate compliance reports automatically:

python
class AuditReportGenerator:
    def generate_soc2_report(self, start_date, end_date):
        controls = self.get_control_status("SOC2")
        return {
            "framework": "SOC 2 Type II",
            "compliance_score": self.calculate_score(controls),
            "trust_services_criteria": {...},
            "controls": self.format_controls(controls)
        }

For complete report generator, see examples/evidence-collection/report_generator.py.

Control Mapping Matrix

Unified control mapping across frameworks:

ControlSOC 2HIPAAPCI-DSSGDPRISO 27001
MFACC6.1§164.312(d)Req 8.3Art 32A.9.4.2
Encryption at RestCC6.1§164.312(a)(2)(iv)Req 3.4Art 32A.10.1.1
Encryption in TransitCC6.1§164.312(e)(1)Req 4.1Art 32A.13.1.1
Audit LoggingCC7.2§164.312(b)Req 10.2Art 30A.12.4.1
Access ReviewsCC6.1§164.308(a)(3)(ii)(C)Req 8.2.4Art 32A.9.2.5
Vulnerability ScanningCC7.1§164.308(a)(8)Req 11.2Art 32A.12.6.1
Incident ResponseCC7.3§164.308(a)(6)Req 12.10Art 33A.16.1.1

Strategy: Implement once with proper tagging, map to all applicable frameworks.

For complete control mapping with 45+ controls, see references/control-mapping-matrix.md.

Breach Notification Requirements

Framework-Specific Timelines:

  • HIPAA: 60 days to HHS and affected individuals
  • GDPR: 48 hours to supervisory authority (2025 update)
  • SOC 2: 72 hours to affected customers
  • PCI-DSS: Immediate to payment brands

Required Elements:

  • Description of incident and data involved
  • Estimated number of affected individuals
  • Steps taken to mitigate harm
  • Contact information for questions
  • Remediation actions and timeline

For incident response templates, see references/incident-response-templates.md.

Vendor Management

Business Associate Agreements (HIPAA):

  • Required for all vendors handling PHI
  • Specify permitted uses and disclosures
  • Require appropriate safeguards
  • Annual review and renewal

Data Processing Agreements (GDPR):

  • Required for all vendors processing personal data
  • Process only on controller instructions
  • Implement appropriate technical measures
  • Sub-processor approval required

Assessment Process:

  1. Risk classification by data access level
  2. Security questionnaire evaluation
  3. BAA/DPA execution
  4. SOC 2 report collection (≤90 days old)
  5. Annual re-assessment

For vendor management templates, see references/vendor-management.md.

Tools & Libraries

Policy as Code:

  • Open Policy Agent (OPA): General-purpose policy engine
  • Checkov: IaC security scanning with compliance frameworks
  • tfsec: Terraform security scanner
  • Trivy: Container and IaC scanner

Compliance Automation:

  • AWS Config: AWS resource compliance monitoring
  • Cloud Custodian: Multi-cloud compliance automation
  • Drata/Vanta/Secureframe: Continuous compliance platforms

For tool selection guidance, see references/tool-recommendations.md.

Integration with Other Skills

Related Skills:

  • security-hardening: Technical security control implementation
  • secret-management: Secrets handling per HIPAA/PCI-DSS
  • infrastructure-as-code: IaC implementing compliance controls
  • kubernetes-operations: K8s RBAC, network policies
  • building-ci-pipelines: Policy enforcement in CI/CD
  • siem-logging: Audit logging and monitoring
  • incident-management: Incident response procedures

Quick Reference

Implementation Checklist:

  • Identify applicable frameworks
  • Implement encryption (AES-256, TLS 1.3)
  • Configure MFA for privileged access
  • Implement RBAC with least privilege
  • Set up audit logging (7-year retention)
  • Configure security monitoring/alerting
  • Create incident response plan
  • Execute vendor agreements (BAAs, DPAs)
  • Implement policy-as-code (OPA, Checkov)
  • Automate evidence collection
  • Conduct quarterly access reviews
  • Perform annual risk assessments

Common Mistakes:

  • Treating compliance as one-time project vs continuous process
  • Implementing per-framework vs unified controls
  • Manual evidence collection vs automation
  • Insufficient log retention (<7 years)
  • Missing MFA enforcement
  • Not encrypting backups/logs
  • Inadequate vendor due diligence

References

Framework Details:

  • references/soc2-controls.md - SOC 2 TSC control catalog
  • references/hipaa-safeguards.md - HIPAA safeguards
  • references/pci-dss-requirements.md - PCI-DSS 4.0 requirements
  • references/gdpr-articles.md - GDPR key articles

Implementation Patterns:

  • references/control-mapping-matrix.md - Unified control mapping
  • references/encryption-implementations.md - Encryption patterns
  • references/access-control-patterns.md - MFA, RBAC implementations
  • references/audit-logging-patterns.md - Logging requirements
  • references/incident-response-templates.md - IR procedures

Automation:

  • references/cicd-integration.md - OPA/Checkov CI/CD integration
  • references/compliance-testing.md - Automated test patterns
  • references/vendor-management.md - Vendor assessment templates
  • references/tool-recommendations.md - Tool selection guide

Code Examples:

  • examples/opa-policies/ - OPA policy examples
  • examples/terraform/ - Terraform control implementations
  • examples/evidence-collection/ - Evidence automation
  • examples/mfa-implementation.py - TOTP MFA implementation

Consult qualified legal counsel and auditors for legal interpretation and audit preparation.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Implementing Compliance AI skill do?

Implement and maintain compliance with SOC 2, HIPAA, PCI-DSS, and GDPR using unified control mapping, policy-as-code enforcement, and automated evidence collection. Use when building systems requiring regulatory compliance, implementing security controls across multiple frameworks, or automating audit preparation.

Why use Implementing Compliance on TypingMind?

Because you install it once and use it with any model. Implementing Compliance is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Implementing Compliance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ancoleman/ai-design-components/tree/main/skills/implementing-compliance. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Implementing Compliance?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Implementing Compliance?

As many as you like. As long as a model supports skills, you can use Implementing Compliance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Implementing Compliance AI skill free?

Yes. It is published on GitHub by ancoleman under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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