Manage and update agent trust scores with Bayesian updates, domain-specific trust, revocation, forgetting, and visualize trust via dashboard.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install trust-protocolOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install trust-protocolβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/trust-protocol/π‘Extract and place the folder at the path above, then restart your agent.
Category
π»Developer & DevOpsPlatforms
What Agent Trust Protocol can do for your AI workflow
Agent trust scores directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,152+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Agent Trust Protocol
Help me get started with Agent Trust Protocol
Explains what Agent Trust Protocol does, walks through the setup, and runs a quick demo based on your current project
Use Agent Trust Protocol to manage and update agent trust scores with Bayesian updates, domain-...
Invokes Agent Trust Protocol with the right parameters and returns the result directly in the conversation
What can I do with Agent Trust Protocol in my developer & devops workflow?
Lists the top use cases for Agent Trust Protocol, with example commands for each scenario
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Agent Trust Protocol extends your AI assistant with the ability to manage and update agent trust scores with Bayesian updates, domain-specific trust, revocation, forgetting, and visualize trust via dashboard. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Agent Trust Protocol as its underlying capability.
Agent Trust Protocol works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Agent Trust Protocol 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 Trust Protocol installs like any other MCP skill: drop the folder into `~/.claude/skills/trust-protocol/` for global access, or `.claude/skills/trust-protocol/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/trust-protocol`, or let the AI decide when it's the right tool for your request.
Agent Trust Protocol has been installed 2,152 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. 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.
Place the skill folder at ~/.claude/skills/trust-protocol/ for personal use (all projects), or .claude/skills/trust-protocol/ for project-specific use. Restart your AI client, then invoke with /trust-protocol or let the AI discover it automatically.
Agent Trust Protocol supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Agent Trust Protocol is free to install. Check the repository for licensing information.
Manage and update agent trust scores with Bayesian updates, domain-specific trust, revocation, forgetting, and visualize trust via dashboard.
Automate my developer & devops tasks using Agent Trust Protocol
Identifies repetitive steps in your workflow and sets up Agent Trust Protocol to handle them automatically
Agent Trust Protocol is categorized under Developer & DevOps. These skills help AI agents perform specialized tasks in this domain.
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