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Soc2 Compliance

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BagelHole
soc2-compliance

Implement SOC 2 Trust Services Criteria. Configure security, availability, and processing integrity controls. Use when achieving SOC 2 certification.

Overview

PublisherBagelHole
RepositoryDevOps-Security-Agent-Skills
Skill namesoc2-compliance
Stars
1.1K
Forks
161
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Soc2 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.
    https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/compliance/frameworks/soc2-compliance
  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/BagelHole/DevOps-Security-Agent-Skills.git /tmp/DevOps-Security-Agent-Skills
mkdir -p .claude/skills
cp -r /tmp/DevOps-Security-Agent-Skills/compliance/frameworks/soc2-compliance .claude/skills/soc2-compliance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Soc2 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 Soc2 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 Soc2 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.

SOC 2 Compliance

Implement SOC 2 Trust Services Criteria controls, evidence collection, and continuous compliance monitoring for Type I and Type II audits.

When to Use

  • Preparing for a SOC 2 Type I or Type II audit
  • Mapping existing controls to Trust Services Criteria
  • Automating evidence collection for auditor requests
  • Building continuous compliance monitoring into CI/CD
  • Onboarding new services and ensuring SOC 2 control coverage

Trust Services Criteria Detailed Checklist

yaml
security_common_criteria:
  CC1_control_environment:
    CC1.1: "Management demonstrates commitment to integrity and ethical values"
    CC1.2: "Board exercises oversight of internal controls"
    CC1.3: "Management establishes structure, authority, and responsibility"
    CC1.4: "Commitment to competence - hire and retain qualified personnel"
    CC1.5: "Individuals are held accountable for internal control responsibilities"
    evidence:
      - Code of conduct document
      - Organizational chart
      - Job descriptions with security responsibilities
      - Board meeting minutes discussing security
      - Background check policy and records

  CC2_communication:
    CC2.1: "Entity obtains or generates relevant quality information"
    CC2.2: "Entity internally communicates information including objectives and responsibilities"
    CC2.3: "Entity communicates with external parties"
    evidence:
      - Security awareness training records
      - Internal security newsletters or updates
      - Customer-facing security documentation
      - Status page and incident communication records

  CC3_risk_assessment:
    CC3.1: "Entity specifies objectives clearly to identify and assess risks"
    CC3.2: "Entity identifies risks to achievement of objectives"
    CC3.3: "Entity considers potential for fraud"
    CC3.4: "Entity identifies and assesses significant changes"
    evidence:
      - Annual risk assessment report
      - Risk register with ratings and treatment plans
      - Fraud risk assessment documentation
      - Change management records

  CC4_monitoring:
    CC4.1: "Entity selects, develops, and performs ongoing/separate evaluations"
    CC4.2: "Entity evaluates and communicates internal control deficiencies"
    evidence:
      - Continuous monitoring dashboard screenshots
      - Internal audit reports
      - Vulnerability scan results
      - Penetration test reports

  CC5_control_activities:
    CC5.1: "Entity selects and develops control activities to mitigate risks"
    CC5.2: "Entity selects and develops technology-based controls"
    CC5.3: "Entity deploys control activities through policies and procedures"
    evidence:
      - Information security policy
      - Access control procedures
      - Change management procedures
      - Encryption standards documentation

  CC6_logical_access:
    CC6.1: "Logical access security over protected information assets"
    CC6.2: "Prior to access, users are registered and authorized"
    CC6.3: "Access to data, software, functions, and other IT resources is authorized and modified"
    CC6.6: "Logical access security measures against threats from outside system boundaries"
    CC6.7: "Transmission of data between parties is protected"
    CC6.8: "Controls to prevent or detect unauthorized or malicious software"
    evidence:
      - IAM credential report
      - MFA enforcement configuration
      - Access review completion records
      - Firewall and WAF configurations
      - TLS/encryption configurations
      - Endpoint protection deployment records

  CC7_system_operations:
    CC7.1: "Detect anomalies and potential security incidents"
    CC7.2: "Monitor system components for anomalies"
    CC7.3: "Evaluate detected events and determine incidents"
    CC7.4: "Respond to identified security incidents"
    CC7.5: "Identify and remediate security incidents"
    evidence:
      - SIEM alert rules and dashboards
      - Monitoring configuration (CloudWatch, Datadog, etc.)
      - Incident response plan
      - Incident tickets and post-mortems

  CC8_change_management:
    CC8.1: "Entity authorizes, designs, develops, configures, documents, tests, approves, and implements changes"
    evidence:
      - Change management policy
      - Pull request approval requirements
      - CI/CD pipeline configurations
      - Deployment records with approvals

  CC9_risk_mitigation:
    CC9.1: "Entity identifies, selects, and develops risk mitigation activities"
    CC9.2: "Entity assesses and manages risks associated with vendors"
    evidence:
      - Risk treatment plans
      - Vendor assessment records
      - Business associate agreements
      - Insurance certificates

availability_criteria:
  A1.1: "System processing capacity and availability are maintained"
  A1.2: "Environmental protections and recovery measures"
  A1.3: "Recovery plan procedures to support system availability"
  evidence:
    - Uptime SLA documentation
    - Capacity monitoring dashboards
    - Disaster recovery plan
    - DR test results
    - Backup verification records

processing_integrity_criteria:
  PI1.1: "Entity obtains or generates, uses, and communicates quality information"
  evidence:
    - Input validation procedures
    - Data processing accuracy checks
    - Error handling and retry logic documentation
    - Output reconciliation records

confidentiality_criteria:
  C1.1: "Entity identifies and maintains confidential information"
  C1.2: "Entity disposes of confidential information"
  evidence:
    - Data classification policy
    - Encryption configurations
    - Data retention and destruction policies
    - Secure disposal records

privacy_criteria:
  P1-P8: "Privacy notice, choice, collection, use, disclosure, access, quality, monitoring"
  evidence:
    - Privacy policy (published)
    - Consent management records
    - Data processing inventory
    - DSAR handling procedures

Tool Mappings for Control Evidence

yaml
control_to_tool_mapping:
  CC6.1_logical_access:
    aws:
      - IAM credential report (aws iam generate-credential-report)
      - IAM Access Analyzer findings
      - AWS SSO configuration
      - GuardDuty findings
    azure:
      - Azure AD sign-in logs
      - Conditional Access policies
      - PIM role assignments
    github:
      - Organization member list and roles
      - Repository access permissions
      - Branch protection rules
    okta:
      - User status report
      - MFA enrollment report
      - Application assignment report

  CC7.2_monitoring:
    tools:
      - CloudWatch / Azure Monitor / Cloud Monitoring dashboards
      - Datadog / New Relic / Grafana alert configurations
      - SIEM (Splunk, Elastic, Sentinel) saved searches
      - PagerDuty / OpsGenie escalation policies
    evidence_format:
      - Dashboard screenshots with date stamps
      - Alert rule configuration exports
      - Incident response records from ticketing system

  CC8.1_change_management:
    tools:
      - GitHub/GitLab PR merge requirements
      - CI/CD pipeline configurations (GitHub Actions, Jenkins)
      - Terraform plan outputs
      - Deployment logs
    evidence_format:
      - PR with approvals and CI checks
      - Deployment audit trail
      - Change advisory board meeting notes (if applicable)

Evidence Collection Automation

bash
#!/usr/bin/env bash
# collect-soc2-evidence.sh - Automated SOC 2 evidence collection
# Run monthly or before audit requests

EVIDENCE_DIR="./soc2-evidence/$(date +%Y-%m)"
mkdir -p "$EVIDENCE_DIR"

echo "=== CC6.1 - Logical Access Evidence ==="

# AWS IAM credential report
aws iam generate-credential-report
sleep 10
aws iam get-credential-report --output text --query Content | \
  base64 -d > "$EVIDENCE_DIR/aws-iam-credential-report.csv"

# AWS IAM Access Analyzer findings
aws accessanalyzer list-findings \
  --analyzer-arn "arn:aws:access-analyzer:us-east-1:123456789012:analyzer/org-analyzer" \
  --filter '{"status": {"eq": ["ACTIVE"]}}' \
  > "$EVIDENCE_DIR/access-analyzer-findings.json"

# MFA enforcement status
aws iam list-users --query 'Users[*].UserName' --output text | \
  tr '\t' '\n' | while read -r user; do
    mfa=$(aws iam list-mfa-devices --user-name "$user" --query 'MFADevices[0].SerialNumber' --output text)
    echo "$user,$mfa"
  done > "$EVIDENCE_DIR/mfa-status.csv"

# GitHub organization members and roles
gh api orgs/YOUR_ORG/members --paginate --jq '.[] | [.login, .role_name // "member"] | @csv' \
  > "$EVIDENCE_DIR/github-org-members.csv"

# GitHub branch protection rules
for repo in $(gh repo list YOUR_ORG --json name -q '.[].name'); do
  gh api repos/YOUR_ORG/$repo/branches/main/protection \
    > "$EVIDENCE_DIR/branch-protection-$repo.json" 2>/dev/null
done

echo "=== CC7.2 - Monitoring Evidence ==="

# CloudTrail status
aws cloudtrail get-trail-status --name org-audit-trail \
  > "$EVIDENCE_DIR/cloudtrail-status.json"

# Active CloudWatch alarms
aws cloudwatch describe-alarms --state-value ALARM \
  > "$EVIDENCE_DIR/active-alarms.json"

# GuardDuty findings summary
aws guardduty list-findings --detector-id DETECTOR_ID \
  --finding-criteria '{"criterion":{"severity":{"gte":4}}}' \
  > "$EVIDENCE_DIR/guardduty-findings.json"

echo "=== CC8.1 - Change Management Evidence ==="

# Recent deployments (GitHub Actions)
gh run list --repo YOUR_ORG/YOUR_REPO --limit 50 --json conclusion,createdAt,displayTitle,headBranch \
  > "$EVIDENCE_DIR/recent-deployments.json"

# Pull requests merged in audit period
gh pr list --repo YOUR_ORG/YOUR_REPO --state merged --limit 100 \
  --json number,title,author,mergedBy,mergedAt,reviews \
  > "$EVIDENCE_DIR/merged-prs.json"

echo "=== A1 - Availability Evidence ==="

# Backup status
aws rds describe-db-snapshots --db-instance-identifier prod-db \
  --query 'DBSnapshots | sort_by(@, &SnapshotCreateTime) | [-5:]' \
  > "$EVIDENCE_DIR/rds-backup-snapshots.json"

# S3 replication status
aws s3api get-bucket-replication --bucket prod-data-bucket \
  > "$EVIDENCE_DIR/s3-replication-config.json"

echo "Evidence collected in $EVIDENCE_DIR"
tar -czf "$EVIDENCE_DIR.tar.gz" "$EVIDENCE_DIR"
echo "Archive: $EVIDENCE_DIR.tar.gz"

Audit Preparation Timeline

yaml
audit_prep_timeline:
  12_months_before:
    - Select auditor firm and sign engagement letter
    - Perform gap assessment against TSC criteria
    - Remediate identified control gaps
    - Begin formal evidence collection cadence

  6_months_before:
    - Conduct internal readiness assessment
    - Verify all controls are operating effectively
    - Complete risk assessment and update risk register
    - Ensure vendor assessments are current
    - Test disaster recovery procedures

  3_months_before:
    - Run automated evidence collection and verify completeness
    - Conduct access review and remediate findings
    - Review and update all policies and procedures
    - Perform vulnerability scan and penetration test
    - Confirm all training records are current

  1_month_before:
    - Prepare evidence request list responses
    - Organize evidence into auditor-friendly structure
    - Brief key personnel on audit interviews
    - Verify monitoring dashboards show healthy state
    - Confirm incident response records are complete

  during_audit:
    - Designate audit liaison for request management
    - Provide timely evidence and clarifications
    - Track open auditor questions
    - Escalate issues to control owners promptly

  after_audit:
    - Review draft report and provide management response
    - Create remediation plan for any exceptions
    - Communicate results to stakeholders
    - Update controls and processes based on findings
    - Begin next audit period evidence collection

Continuous Compliance Monitoring

yaml
# GitHub Actions workflow for continuous SOC 2 checks
name: SOC2 Compliance Checks
on:
  schedule:
    - cron: '0 6 * * 1'  # Weekly on Monday
  workflow_dispatch:

jobs:
  access-review:
    runs-on: ubuntu-latest
    steps:
      - name: Check MFA enforcement
        run: |
          USERS_WITHOUT_MFA=$(aws iam generate-credential-report && sleep 5 && \
            aws iam get-credential-report --output text --query Content | \
            base64 -d | awk -F, '$4=="true" && $8=="false" {print $1}')
          if [ -n "$USERS_WITHOUT_MFA" ]; then
            echo "::error::Users without MFA: $USERS_WITHOUT_MFA"
            exit 1
          fi

      - name: Check for unused credentials
        run: |
          THRESHOLD=$(date -d '90 days ago' +%Y-%m-%dT%H:%M:%S)
          aws iam get-credential-report --output text --query Content | \
            base64 -d | awk -F, -v t="$THRESHOLD" '$5!="N/A" && $5<t {print $1" last used "$5}'

      - name: Verify CloudTrail is logging
        run: |
          STATUS=$(aws cloudtrail get-trail-status --name org-audit-trail --query 'IsLogging' --output text)
          [ "$STATUS" = "True" ] || (echo "::error::CloudTrail logging stopped" && exit 1)

      - name: Check GuardDuty is enabled
        run: |
          DETECTOR=$(aws guardduty list-detectors --query 'DetectorIds[0]' --output text)
          [ "$DETECTOR" != "None" ] || (echo "::error::GuardDuty not enabled" && exit 1)

Best Practices

  • Start with a gap assessment to understand current control maturity before engaging an auditor
  • Automate evidence collection to reduce the burden of auditor requests and ensure consistency
  • Map each control to a specific tool, owner, and evidence artifact for traceability
  • Implement continuous monitoring rather than point-in-time checks for Type II readiness
  • Maintain a central evidence repository organized by control criteria
  • Conduct quarterly internal reviews to catch control drift before the audit period
  • Keep policies living documents with version history and annual review dates
  • Train all employees on their role in maintaining SOC 2 controls
  • Use the audit preparation timeline to avoid last-minute scrambling
  • Treat each auditor exception as an improvement opportunity rather than a failure

Frequently asked questions

What does the Soc2 Compliance AI skill do?

Implement SOC 2 Trust Services Criteria. Configure security, availability, and processing integrity controls. Use when achieving SOC 2 certification.

Why use Soc2 Compliance on TypingMind?

Because you install it once and use it with any model. Soc2 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 Soc2 Compliance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BagelHole/DevOps-Security-Agent-Skills/tree/main/compliance/frameworks/soc2-compliance. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Soc2 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 Soc2 Compliance?

As many as you like. As long as a model supports skills, you can use Soc2 Compliance with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Soc2 Compliance AI skill free?

Yes. It is published on GitHub by BagelHole 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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