--- name: compliance-evidence-collector description: Automated evidence collection across compliance frameworks from cloud providers, identity systems, and security tools allowed-tools: - Bash - Read - Write - Glob - Grep - WebFetch graph: domains: [domain:security] specializations: [specialization:security-compliance] skillAreas: [skill-area:compliance-automation, skill-area:security-testing] roles: [role:compliance-officer, role:compliance-engineer] workflows: [workflow:compliance-audit, workflow:security-audit] --- # Compliance Evidence Collector Skill ## Purpose Automate compliance evidence collection across multiple frameworks by gathering configuration snapshots, access control evidence, logs, policies, and documentation from cloud providers, identity systems, and security tools. ## Capabilities ### Cloud Configuration Evidence - Capture AWS, Azure, GCP configuration snapshots - Document IAM policies and role configurations - Export security group and network ACL settings - Collect encryption settings and key management evidence - Screenshot cloud console configurations - Archive CloudTrail, Activity Logs, Audit Logs ### Access Control Evidence - Export user and group listings - Document role-based access control configurations - Capture privileged access reviews - Collect authentication policy evidence - Document MFA enrollment status - Archive access provisioning/deprovisioning records ### Log Collection and Verification - Collect security event logs - Verify log retention compliance - Document log integrity mechanisms - Export SIEM correlation rules - Capture alerting configurations - Archive incident response logs ### Policy Document Management - Version control policy documents - Track policy review and approval dates - Document policy acknowledgments - Archive superseded policies - Generate policy compliance matrices ### Screenshot Automation - Automate evidence screenshots for manual controls - Capture UI-based configuration evidence - Document workflow approvals - Screenshot training completion records ### Evidence Chain of Custody - Maintain evidence metadata and timestamps - Track evidence collection dates - Document evidence sources - Generate evidence inventories - Create audit-ready packages ## Evidence Categories ### Technical Evidence - System configurations - Security tool outputs - Vulnerability scan results - Penetration test reports - Code analysis results ### Administrative Evidence - Policies and procedures - Training records - Risk assessments - Incident reports - Change management records ### Physical Evidence - Facility access logs - Visitor records - Asset inventories - Environmental controls documentation ## Framework Mapping | Framework | Evidence Types | |-----------|---------------| | SOC 2 | Technical, Administrative, Screenshots | | GDPR | Data processing, Consent, Privacy | | HIPAA | ePHI, Safeguards, BAAs | | PCI DSS | CDE, Network, ASV scans | | ISO 27001 | ISMS, Controls, Risk | | NIST | Security controls, Risk management | | FedRAMP | Cloud security, Continuous monitoring | ## Integrations - **AWS**: Config, CloudTrail, IAM, Security Hub - **Azure**: Policy, Activity Log, Azure AD, Defender - **GCP**: Cloud Asset Inventory, Audit Logs, IAM - **Identity Providers**: Okta, Azure AD, Google Workspace - **SIEM Systems**: Splunk, Elastic, Sentinel, Chronicle - **Security Tools**: Various vulnerability scanners, EDR ## Target Processes - All compliance audit processes - Continuous compliance monitoring - Audit preparation - Control validation ## Input Schema ```json { "type": "object", "properties": { "frameworks": { "type": "array", "items": { "type": "string", "enum": ["SOC2", "GDPR", "HIPAA", "PCI-DSS", "ISO27001", "NIST", "FedRAMP"] }, "description": "Target compliance frameworks" }, "evidenceTypes": { "type": "array", "items": { "type": "string", "enum": ["cloud-config", "access-control", "logs", "policies", "screenshots", "network", "encryption"] } }, "cloudProviders": { "type": "array", "items": { "type": "string", "enum": ["AWS", "Azure", "GCP"] } }, "dateRange": { "type": "object", "properties": { "startDate": { "type": "string", "format": "date" }, "endDate": { "type": "string", "format": "date" } } }, "controlIds": { "type": "array", "items": { "type": "string" }, "description": "Specific control IDs to collect evidence for" }, "outputPath": { "type": "string", "description": "Base path for evidence storage" } }, "required": ["frameworks", "evidenceTypes"] } ``` ## Output Schema ```json { "type": "object", "properties": { "collectionId": { "type": "string" }, "collectionDate": { "type": "string", "format": "date-time" }, "frameworks": { "type": "array" }, "evidenceSummary": { "type": "object", "properties": { "totalItems": { "type": "integer" }, "collected": { "type": "integer" }, "failed": { "type": "integer" }, "pending": { "type": "integer" } } }, "evidenceInventory": { "type": "array", "items": { "type": "object", "properties": { "evidenceId": { "type": "string" }, "controlId": { "type": "string" }, "type": { "type": "string" }, "source": { "type": "string" }, "collectionTimestamp": { "type": "string" }, "filePath": { "type": "string" }, "hash": { "type": "string" }, "status": { "type": "string" } } } }, "chainOfCustody": { "type": "object", "properties": { "collector": { "type": "string" }, "collectionMethod": { "type": "string" }, "integrityVerification": { "type": "string" } } }, "gaps": { "type": "array", "items": { "type": "object", "properties": { "controlId": { "type": "string" }, "missingEvidence": { "type": "string" }, "reason": { "type": "string" } } } }, "auditPackage": { "type": "object", "properties": { "basePath": { "type": "string" }, "indexFile": { "type": "string" }, "totalSize": { "type": "string" } } } } } ``` ## Usage Example ```javascript skill: { name: 'compliance-evidence-collector', context: { frameworks: ['SOC2', 'ISO27001'], evidenceTypes: ['cloud-config', 'access-control', 'logs'], cloudProviders: ['AWS', 'Azure'], dateRange: { startDate: '2024-01-01', endDate: '2024-12-31' } } } ``` --- Source attribution: a5c-ai Original project: https://github.com/a5c-ai/babysitter License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Gabriel Moreira Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: a5c-ai Original project: https://github.com/a5c-ai/babysitter Attribution basis: Upstream repository explicitly recorded in package mirror path Fields of work: Data & Analytics, Development & Engineering, Legal, Operations Roles: Business Process Analyst, Compliance Officer, Data Analyst, IT Operations, Security Engineer Specialties: Specialty not specified Tools: Bash, Webfetch Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 956a853fce72d0a34d4fef523f471f5e493f0513777278d9a0275aaee4fa8f3d