Agent Audit Trail

Agent Audit Trail extends your AI assistant with the ability to append-only, hash-chained audit log for AI agents. Records agent actions, tool calls, decisions, and external writes with provenance, timestamps, and sha256... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Agent Audit Trail as its underlying capability.

Agent Audit Trail works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Agent Audit Trail once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Agent Audit Trail installs like any other MCP skill: drop the folder into `~/.claude/skills/agent-audit-trail/` for global access, or `.claude/skills/agent-audit-trail/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/agent-audit-trail`, or let the AI decide when it's the right tool for your request.

Agent Audit Trail has been installed 1,228 times, making it one of the more actively used skills in the Developer & DevOps category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.