agent-audit-logging

Implement audit logging and compliance reporting for multi-agent systems.

364|53|Updated May 9, 2026
One-click install
npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill agent-audit-logging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-audit-logging
Source: https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/ai-ml/agent-audit-logging
Command: npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills --skill agent-audit-logging

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the uncertainty and risk of operating multi-agent systems without complete evidence of what actions were taken, why decisions were made, and whether governance rules were followed.

Core Features & Use Cases

  • Structured audit event schema: Defines consistent, queryable fields for invocation, tool calls, decisions, responses, errors, handoffs, and token usage.
  • Traceability chains for forensics: Builds a trace timeline and parent-child graph to replay agent behavior across a full execution path.
  • Compliance reporting and monitoring: Generates compliance summaries (including error and tool-usage analysis) and supports real-time dashboards for operational awareness.

Use case: when a production multi-agent workflow escalates to humans after tool failures, you can export a trace for incident forensics and produce a compliance report showing which rules were met and where failures occurred.

Quick Start

Ask your agent system to enable audit logging for each invocation, tool call, decision, and handoff, then generate a compliance report for a selected time window.

Frequently Asked Questions about agent-audit-logging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I implement audit logging for multi-agent systems to trace decisions?

Audit logging for multi-agent systems requires defining a structured event schema to capture invocations, tool calls, decisions, and handoffs. This creates traceable chains that reconstruct agent behavior timelines for compliance reporting and incident forensics.

What is agent traceability and how does it support incident forensics?

Agent traceability builds a parent-child graph and trace timeline to replay execution paths across a multi-agent workflow. It supports incident forensics by providing complete evidence of actions taken, why decisions were made, and where tool failures occurred during escalation.

How do I generate compliance reports for multi-agent workflows?

Generate compliance reports by capturing structured audit events across your agent execution pipeline, then summarizing tool usage, errors, and token consumption. This produces governance-focused summaries showing which rules were met within a selected time window.

Can I reconstruct a timeline of agent decisions after a production failure?

Yes, you can reconstruct an agent decision timeline by exporting the traceability chain from your audit logs. This builds a forensic timeline replaying the full execution path, showing exactly where tool failures triggered human escalation.

What fields should a structured audit event schema capture for governance?

A structured audit event schema for governance should capture consistent, queryable fields for agent invocations, tool calls, decisions, responses, errors, handoffs, and token usage. This enables traceability graphs and real-time operational dashboards.

Does audit logging work with retention-aware storage for long-term compliance?

Audit logging integrates with retention-aware storage to maintain structured logs over defined periods. This ensures traceable, compliant agent activity records remain available for governance reporting and historical incident forensics.