Runtime Attestation Probe

Runtime Attestation Probe extends your AI assistant with the ability to helps validate that agent behavior at runtime matches the capabilities and constraints declared in its attestation. Detects divergence between what an agent... 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 Runtime Attestation Probe as its underlying capability.

Runtime Attestation Probe 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 Runtime Attestation Probe 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.

Getting started with Runtime Attestation Probe takes about two minutes. Place the skill at `~/.claude/skills/runtime-attestation-probe/` (personal, all projects) or `.claude/skills/runtime-attestation-probe/` (project-specific), then restart your AI client. From that point, typing `/runtime-attestation-probe` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.

Runtime Attestation Probe has 443 installs and is part of the growing General Tools skill ecosystem on DiscoverAISkills. 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.