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Compliance As Code Governance

skill-vaquarkhan-compliance-agent-skills-compliance-as-code-governance · by vaquarkhan

Implements policy-as-code and infrastructure compliance scanning—OPA/Rego policies, Terraform static analysis, CI gates, and drift remediation—for SOC 2, HIPAA, and PCI control enforcement. Trigger when codifying security policies, integrating Checkov/tfsec/Sentinel, or automating guardrails for agent/MCP deployments. Do not use for one-time manual audits (use framework-specific skills) or vendor…

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Install

$ agentstack add skill-vaquarkhan-compliance-agent-skills-compliance-as-code-governance

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Compliance-as-Code Governance

Overview

This skill codifies compliance controls as executable policy integrated into CI/CD and runtime admission. It bridges SOC 2 CC8 (change management), CC5 (control activities), HIPAA §164.312 (technical safeguards), and PCI Req 2 (secure configurations) through:

  • OPA/Rego policies for Kubernetes, API gateways, and custom resources
  • Terraform/IaC scanning (Checkov, tfsec, terraform-compliance)
  • Git-pre-merge gates blocking non-compliant infrastructure
  • Policy versioning aligned with TSC control matrix

Compliance-as-code is not a substitute for auditor evidence—it generates continuous proof consumed by soc2-ccm-continuous-monitoring and soc2-evidence-collection.

When to Use

Use this skill when:

  • Codifying security baselines (encryption, public access, MFA) as OPA/Rego or scan rules
  • Adding CI gates for Terraform, Kubernetes manifests, or MCP server configs
  • Remediating drift detected by CCM with policy updates
  • Standardizing agent deployment guardrails (skills validation, redaction required)
  • Mapping policy rules to TSC/PCI/HIPAA control IDs for traceability
  • Building exception workflows for time-bound policy waivers with approval

Do not use this skill when:

  • Legal BAA negotiation (use hipaa-baa-vendor-assessment)
  • Initial TSC gap analysis without automation intent (use soc2-trust-services-criteria)
  • Payment page script inventory (use pci-dss-script-audit)

Core Process

Execute steps in order.

Step 1: Policy scope and control mapping

  1. Import control requirements from TSC matrix, PCI Req 1-2, HIPAA §164.312.
  2. Select automatable controls (encryption flags, SG rules, IAM policies, public exposure).
  3. Create traceability matrix:

| Policy ID | Rego/scan rule | Control ID | Severity | | --- | --- | --- | --- | | POL-S3-001 | deny public S3 ACL | CC6.1, PCI 1.3 | CRITICAL | | POL-IAM-002 | require MFA for admin | CC6.1, PCI 8.4 | HIGH | | POL-AGENT-003 | redaction gate in agent.py | HIPAA §164.312(e) | CRITICAL |

Artifact: policy-control-matrix-{id}.csv.

Step 2: OPA/Rego policy development

  1. Organize policies in policy/ directory with package naming convention:

`` package compliance.soc2.cc6 ``

  1. Write Rego rules with deny messages citing control ID:

``rego deny[msg] { input.resource.type == "aws_s3_bucket" input.resource.public_access == true msg := "CC6.1/PCI1.3: S3 bucket must not allow public access" } ``

  1. Include unit tests (*_test.rego) with positive and negative cases.
  2. Version policies in git; tag releases aligned with baseline promotions.

Step 3: Terraform/IaC scanning

  1. Configure Checkov or tfsec with custom checks mapped to policy IDs.
  2. Scan targets: VPC, SG, IAM, RDS, EKS, MCP deployment modules.
  3. Fail CI on CRITICAL/HIGH unless documented exception ID present in resource tag:

ComplianceException = EX-2025-042

  1. Export SARIF/JSON for evidence store.

Step 4: CI/CD pipeline integration

  1. Pipeline stages:
  • Lint: Rego compilation, policy tests
  • Plan scan: Terraform plan JSON → OPA evaluation
  • Apply gate: manual approval for production with policy summary
  1. Agent-specific gates:
  • SkillsCapability(validate=True) must remain enabled in agent.py
  • redactor.redact() must precede compliance_agent.run() (static analysis or AST check)
  • New skills/*/SKILL.md must pass schema validation
  1. Block merge on policy failure—no --no-verify bypass without security approval.

Step 5: Runtime admission (optional)

  1. Deploy OPA as admission controller (Kubernetes) or API gateway plugin.
  2. Enforce policies on MCP server deployments: resource limits, network policies, secret mounts.
  3. Log deny decisions to SIEM for CC7 evidence.

Step 6: Exception management

  1. Exception request requires: control ID, risk analysis, approver, expiry date (max 90 days default).
  2. Tag affected resources; CCM monitors exception expiry.
  3. Expired exceptions → auto-FAIL in CCM dashboard.

Step 7: Drift remediation loop

  1. When CCM detects drift, determine if:
  • Policy gap (update Rego)
  • Unauthorized change (incident)
  • Authorized change (update baseline)
  1. Link remediation PR to control ID and evidence hash post-merge.

Step 8: Evidence and reporting

  1. Store CI scan outputs with SHA-256 in evidence bucket.
  2. Monthly report: policy pass rate, top violations, mean time to remediate.
  3. Feed soc2-evidence-collection for CC8 change and CC5 control activity samples.

Common Rationalizations

| Excuse the agent might generate | Required rebuttal | | --- | --- | | "Policy-as-code replaces SOC 2 audits." | It automates control testing—auditors still require design/operating effectiveness assessment. | | "We'll scan Terraform in prod only." | Policies must run at plan/PR stage—post-deploy scanning is too late for prevention. | | "OPA is too complex; manual checklist is enough." | Manual checklists don't scale and fail CC8 consistency—codify repeatable rules. | | "Exception tags are technical debt we ignore." | Untracked exceptions are audit findings—require expiry and approval workflow. | | "Agent redaction can't be policy-checked." | Static analysis can verify call order in agent.py—implement POL-AGENT-003. | | "Critical findings can merge with a JIRA link later." | CRITICAL policy failures must block merge until fixed or formal exception recorded. |

Red Flags

  • Terraform apply without plan-time policy scan
  • Public cloud resources deployed with ComplianceException tag and no ticket
  • OPA policies without unit tests or version control
  • Agent deployment bypasses redaction gate in CI
  • Policy matrix missing mapping to control IDs (orphan rules)
  • Exception expiry dates passed with no remediation
  • Scan results stored only in ephemeral CI logs (no evidence retention)

Verification

  • [ ] Policy-control traceability matrix complete with severity levels
  • [ ] OPA/Rego policies written with unit tests and git versioning
  • [ ] Terraform/IaC scanning integrated in CI with CRITICAL/HIGH block rules
  • [ ] Agent-specific gates verify skills validation and redaction call order
  • [ ] Exception workflow documented with max expiry and approver roles
  • [ ] Runtime admission deployed (if in scope) with deny logging to SIEM
  • [ ] CCM integration feeds drift events into remediation loop
  • [ ] Monthly policy compliance report generated with pass rates
  • [ ] Scan artifacts retained with SHA-256 for SOC 2 evidence
  • [ ] No CRITICAL violations in production without active approved exception

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.