Add Audit Logs Automatically
Automatically add secure audit logging to existing applications.
Secure checkout via Stripe
Works with the AI tools you already use
See it in action
You say
Add audit logging to my Node/Express app. I need to track when admins change user roles or delete accounts. Make sure we don't log any session cookies.
Your agent does
Project Detected: Node.js / Express / PostgreSQL / Passport.js
Audit Logging Added:
- user.role_changed
- user.deleted
Audit Event Structure:
- Actor: Authenticated Req User
- Target: Target User ID
- Metadata: Field changes, timestamp
- Result: Records success and failure
Files Modified:
- src/services/audit.service.js
- src/models/AuditLog.js
- src/routes/admin.js
Commands Executed:
- npm test src/tests/audit.test.js
How to Verify:
Run npm run migrate then trigger a role change in the admin dashboard. Check the audit_logs table.
What you get
About this skill
The problem
Manual audit logging is error-prone and often leads to security vulnerabilities like leaking PII or credentials in logs. Developers struggle to maintain a consistent, append-only history of sensitive actions across fragmented services and frameworks.
What it does
- Detects your project stack, authentication patterns, and database schema to ensure architectural consistency.
- Creates centralized, append-only audit services and models for tracking actors, targets, and timestamps.
- Automatically redacts sensitive data such as passwords, tokens, and PII from log payloads.
- Injects audit hooks into security-sensitive workflows like auth events, role changes, and data deletions.
- Generates migrations and unit tests to verify that logs are created and protected from unauthorized modification.
Why this beats prompting it yourself
This skill enforces a strict security protocol that prevents common DIY mistakes, such as trusting client-side actor IDs or logging raw request bodies. It ensures structured, searchable metadata across your entire application instead of inconsistent string-based logs.
Use cases
- Implementing SOC2 or GDPR compliant activity trails for administrative actions.
- Adding "who changed what" history to critical database records.
- Tracking failed login attempts and security-sensitive configuration changes.
- Refactoring scattered print statements into a structured, append-only audit system.
Known limitations
Does not provide legal or compliance certification. Local validation depends on available test suites and database access within the environment.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean today
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe
Creator
109 skills on Agensi
Frequently Asked Questions
Popular in AI Agents & LLM Ops
agentic-workflow
A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.
designing-hybrid-context-layers
Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.
Open Browser Use
Automate real Chrome profiles with a professional CLI, SDK, and MCP-ready automation stack for AI agents.

skill miner
Analyzes your agent conversation history to find and automate your most frequent recurring tasks.