Audit Logging
Records all actions taken by the agent, including data access and modifications, for detailed review and accountability.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add audit-logging npx -- -y @trustedskills/audit-logging
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"audit-logging": {
"command": "npx",
"args": [
"-y",
"@trustedskills/audit-logging"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill provides audit logging capabilities to track AI agent actions and decisions. It allows you to record details of interactions, including prompts, responses, and any internal state changes. This is valuable for debugging, compliance, and understanding how your AI agents are behaving over time.
When to use it
- Debugging complex agent behavior: Trace the steps an agent took to reach a specific conclusion or outcome.
- Ensuring regulatory compliance: Maintain records of interactions for auditing purposes.
- Analyzing agent performance: Identify patterns and areas for improvement in agent decision-making.
- Recreating past scenarios: Reproduce specific conversations or tasks performed by the AI agent.
Key capabilities
- Records prompts sent to the AI agent.
- Logs responses generated by the AI agent.
- Tracks internal state changes within the agent's execution.
Example prompts
- "Enable audit logging for this session."
- "Show me the logs from yesterday’s interactions with customer support agents."
- "What was the prompt and response when Agent X handled order #12345?"
Tips & gotchas
The effectiveness of audit logging depends on the level of detail captured within the agent's internal processes. Consider carefully what data points are most important to track for your specific use case.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.