AuditClaw AWS#

Companion skill for auditclaw-grc. Collects compliance evidence from AWS accounts using read-only API calls.

15 checks | Read-only IAM policy | Evidence stored in shared GRC database

Security Model#

• Read-only access: Custom IAM policy with 43 read-only API actions. No write/modify/delete permissions.
• Credentials: Uses standard AWS credential chain ( aws configure, env vars, or IAM instance role). No credentials stored by this skill.
• Dependencies: boto3==1.34.46 (pinned)
• Data flow: Check results stored as evidence in ~/.openclaw/grc/compliance.sqlite via auditclaw-grc

Prerequisites#

• AWS credentials configured ( aws configure or IAM instance role)
• pip install -r scripts/requirements.txt
• auditclaw-grc skill installed and initialized

Commands#

• "Run AWS evidence sweep": Run all checks, store results in GRC database
• "Check S3 encryption": Run S3-specific checks
• "Check IAM compliance": Run IAM-specific checks
• "Check CloudTrail status": Verify CloudTrail configuration
• "Check VPC security": Review VPC flow logs and security groups
• "Show AWS integration health": Last sync, errors, evidence count

Usage#

All evidence is stored in the shared GRC database at ~/.openclaw/grc/compliance.sqlite via the auditclaw-grc skill's db_query.py script.

To run a full evidence sweep:

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python3 scripts/aws_evidence.py --db-path ~/.openclaw/grc/compliance.sqlite --all

To run specific checks:

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python3 scripts/aws_evidence.py --db-path ~/.openclaw/grc/compliance.sqlite --checks iam,s3,cloudtrail

Check Categories (15)#

CheckWhat It VerifiesiamPassword policy, MFA enforcement, access key rotation, unused credentialss3Default encryption, public access blocks, versioning, access loggingcloudtrailTrail enabled, multi-region, log validation, S3 deliveryvpcFlow logs enabled, security group rules, NACL configurationkmsKey rotation enabled, key policies, key usageec2IMDSv2 enforcement, EBS encryption, public IP exposurerdsStorage encryption, automated backups, public accessibilitysecurity_hubSecurity Hub enabled, active findings by severityguarddutyDetector enabled, active findings, threat intelligencelambdaRuntime currency, public access, VPC attachmentcloudwatchLog group retention policies, metric alarm coverageconfigConfig recorder active, rule compliance statuseks_ecsContainer cluster encryption, logging, network policieselbHTTPS listeners, WAF association, access loggingcredential_reportFull IAM credential report analysis

Evidence Storage#

Each check produces evidence items stored with:

• source: "aws"
• type: "automated"
• control_id: Mapped to relevant SOC2/ISO/HIPAA controls
• description: Human-readable finding summary
• file_content: JSON details of the check result

IAM Policy#

See scripts/iam-policy.json for the minimum IAM permissions needed. Use the principle of least privilege; the policy uses read-only permissions only.

Setup Guide#

When a user asks to set up AWS integration, guide them through these steps:

Step 1: Create IAM Policy#

Direct the user to AWS Console → IAM → Policies → Create Policy → JSON tab. The exact policy is in scripts/iam-policy.json. Show it with: python3 {baseDir}/../auditclaw-grc/scripts/db_query.py --action show-policy --provider aws

The policy contains 43 read-only API actions across 14 AWS services. No write/modify/delete permissions.

Step 2: Create IAM User#

Name: auditclaw-scanner. Attach the AuditClawReadOnly policy. CLI: aws iam create-user --user-name auditclaw-scanner

Step 3: Generate Access Keys#

Security Credentials → Create Access Key → CLI use case. CLI: aws iam create-access-key --user-name auditclaw-scanner

Step 4: Configure Credentials#

Store credentials: aws configure or set AWS_ACCESS_KEY_ID + AWS_SECRET_ACCESS_KEY env vars.

Step 5: Verify Connection#

Run: python3 {baseDir}/scripts/aws_evidence.py --test-connection This probes each AWS service and reports accessibility.

Do NOT recommend SecurityAudit or ViewOnlyAccess managed policies. They grant far more access than needed. Always use our custom policy from scripts/iam-policy.json.