CO

Translates complex regulatory frameworks into actionable technical controls and documentation for the development lifecycle.

Install

mkdir -p .claude/skills/compliance-mahg-es && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11743" && unzip -o skill.zip -d .claude/skills/compliance-mahg-es && rm skill.zip

Installs to .claude/skills/compliance-mahg-es

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Assess, document, and achieve compliance with regulatory frameworks — GDPR,
75 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Assess architecture against compliance frameworks
  • Map regulatory requirements to technical controls
  • Identify missing implementation gaps
  • Prioritize gaps by regulatory risk
  • Automate evidence collection
  • Prepare audit packages

How it works

The skill maps framework requirements to technical controls, assesses the current state, identifies and prioritizes gaps, and outlines steps to implement missing controls and automate evidence collection. It generates a compliance assessment report.

Inputs & outputs

You give it
target compliance framework, system architecture, data inventory, current security controls
You get back
compliance assessment with framework mapping, scorecard, gap remediation plan, and evidence collection strategy

When to use compliance

  • Performing a GDPR readiness assessment
  • Preparing evidence for SOC 2 certification
  • Auditing data retention policies

About this skill


Compliance

Assess, document, and achieve compliance with regulatory frameworks — GDPR, SOC 2, ISO 27001, HIPAA — translating legal requirements into technical controls and operational procedures.

What problem this solves

Compliance is treated as a checkbox exercise, leading to last-minute scrambles, audit failures, and regulatory fines. This skill embeds compliance into the development lifecycle — mapping regulations to technical controls, automating evidence collection, and maintaining continuous compliance.

When to use

When entering regulated markets (EU = GDPR, healthcare = HIPAA). When pursuing SOC 2 or ISO 27001 certification. When a client contract requires compliance evidence. When expanding to new jurisdictions.

Input

Target compliance framework, system architecture, data inventory, current security controls.

Output

# Compliance Assessment: ARAYA Platform — GDPR Readiness

## Framework Mapping: GDPR Articles → Technical Controls

| GDPR Article | Requirement | Control | Status |
|-------------|-------------|---------|--------|
| Art. 5.1(c) | Data minimization | Only collect fields needed for service; regular data inventory | 🟢 Compliant |
| Art. 5.1(e) | Storage limitation | Retention policies: user data deleted 30 days after account deletion | 🟡 Partial — automated deletion not implemented |
| Art. 25 | Data protection by design | Security review in SDLC (threat-model skill) | 🟢 Compliant |
| Art. 32 | Security of processing | Encryption at rest (AES-256), in transit (TLS 1.3), access controls | 🟢 Compliant |
| Art. 33 | Breach notification (72 hours) | Incident response plan drafted | 🔴 Missing — no formal IR plan |
| Art. 15-22 | Data subject rights | API endpoint for data export (JSON) | 🟡 Partial — deletion endpoint exists, export is manual |
| Art. 30 | Records of processing | Data flow diagrams in architecture docs | 🟢 Compliant |
| Art. 44-49 | International transfers | Data stored in EU region only | 🟢 Compliant |

## Compliance Scorecard
| Framework | Score | Status |
|-----------|-------|--------|
| GDPR | 78/100 | 🟡 Major gaps (breach notification, data export automation) |
| SOC 2 Type II | — | Not yet assessed |
| ISO 27001 | — | Not yet assessed |

## Gap Remediation Plan
| Priority | Gap | Action | Framework | Deadline |
|----------|-----|--------|-----------|----------|
| P0 | Breach notification procedure | Create incident response plan with 72h notification workflow | GDPR Art. 33 | 1 week |
| P1 | Automated data export | Build self-service data export endpoint (JSON + CSV) | GDPR Art. 20 | 2 weeks |
| P1 | Automated data deletion | Implement scheduled deletion 30 days post account-closure | GDPR Art. 17 | 2 weeks |
| P2 | Cookie consent banner | Add consent management platform for non-essential cookies | ePrivacy / GDPR | 3 weeks |
| P2 | Data Processing Agreement | Template DPA for B2B customers | GDPR Art. 28 | 3 weeks |

## Evidence Collection (Audit-Ready)
| Control | Evidence Type | Collection Method | Location |
|---------|-------------|-------------------|----------|
| Access Control | Access review logs | Quarterly automated review | `compliance/access-reviews/` |
| Encryption | Configuration scan | CI pipeline verification | Pipeline logs |
| Change Management | PR approvals + deployment logs | GitHub branch protection | Repository settings |
| Vulnerability Management | Scan reports + remediation timeline | Automated weekly scan | `compliance/vulnerability/` |
| Backup & Recovery | Backup success logs + restore test | Monthly automated test | `compliance/backup/` |

## Continuous Compliance Strategy
- **Shift left:** Pre-commit hooks for PII detection, secrets scanning
- **Automate evidence:** CI pipeline collects compliance artifacts, not manual screenshots
- **Monitor drift:** Weekly compliance scan against framework mappings
- **Annual review:** Full reassessment + penetration test + policy review

Steps

  1. Identify applicable frameworks based on data, jurisdiction, and business model
  2. Map framework requirements to technical controls (not the other way around)
  3. Assess current state: for each requirement, is it implemented, documented, and evidenced?
  4. Identify gaps and prioritize by regulatory risk (fine amount × likelihood of audit)
  5. Implement missing controls, document procedures, automate evidence collection
  6. Prepare audit package: control matrix, evidence inventory, policy documents
  7. Schedule recurring assessments — compliance is continuous, not point-in-time

Rules

  • Map regulations to controls, not the reverse — start with what's required, not what you have
  • Every control needs three things: implementation, documentation, evidence
  • Automate evidence collection — manual screenshots are unreliable and unsustainable
  • Breach notification procedures must be tested — tabletop exercise, not just a document
  • Data subject requests (access, deletion, portability) must be self-service where possible
  • Compliance inherited from cloud providers is not sufficient — shared responsibility means you're still responsible
  • Jurisdiction matters: EU data in EU region, healthcare data with BAA, financial data per local regulations

Done Criteria

  • All steps completed as specified
  • Output validated against requirements
  • Status reported with confidence score
  • Evidence artifacts captured

When not to use it

  • When compliance is treated as a checkbox exercise
  • When only a general understanding of regulations is needed
  • When the goal is not to embed compliance into the development lifecycle

Limitations

  • The skill focuses on mapping regulations to controls, not the reverse.
  • Every control needs implementation, documentation, and evidence.
  • Compliance inherited from cloud providers is not sufficient.

How it compares

This skill embeds compliance into the development lifecycle by mapping regulations to technical controls and automating evidence collection, unlike treating compliance as a one-time checkbox activity.

Compared to similar skills

compliance side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
compliance (this skill)02moNo flagsIntermediate
security-requirement-extraction72moNo flagsIntermediate
audit-support45moNo flagsAdvanced
awesome-game-security-overview44moReviewBeginner

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Example prompts that trigger this skill in your AI assistant.

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