Generates evidence obligations for a claim or action, evaluates existing evidence against them, and returns a structured verdict (PASS / SOFT_PASS / BLOCK /...
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install evidence-gateOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install evidence-gateβ 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/evidence-gate/π‘Extract and place the folder at the path above, then restart your agent.
Category
π οΈGeneral ToolsPlatforms
What Evidence Gate can do for your AI workflow
Generates evidence obligations directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Evidence Gate
Help me get started with Evidence Gate
Explains what Evidence Gate does, walks through the setup, and runs a quick demo based on your current project
Use Evidence Gate to generates evidence obligations for a claim or action, evaluates exi...
Invokes Evidence Gate with the right parameters and returns the result directly in the conversation
What can I do with Evidence Gate in my general tools workflow?
Lists the top use cases for Evidence Gate, with example commands for each scenario
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Evidence Gate extends your AI assistant with the ability to generates evidence obligations for a claim or action, evaluates existing evidence against them, and returns a structured verdict (PASS / SOFT_PASS / BLOCK /... 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 Evidence Gate as its underlying capability.
Evidence Gate 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 Evidence Gate 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 Evidence Gate takes about two minutes. Place the skill at `~/.claude/skills/evidence-gate/` (personal, all projects) or `.claude/skills/evidence-gate/` (project-specific), then restart your AI client. From that point, typing `/evidence-gate` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Evidence Gate has 184 installs and is part of the growing General Tools skill ecosystem on DiscoverAISkills. 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/evidence-gate/ for personal use (all projects), or .claude/skills/evidence-gate/ for project-specific use. Restart your AI client, then invoke with /evidence-gate or let the AI discover it automatically.
Evidence Gate supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Evidence Gate is free to install. Check the repository for licensing information.
Generates evidence obligations for a claim or action, evaluates existing evidence against them, and returns a structured verdict (PASS / SOFT_PASS / BLOCK /...
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Automate my general tools tasks using Evidence Gate
Identifies repetitive steps in your workflow and sets up Evidence Gate to handle them automatically
Evidence Gate is categorized under General Tools. These skills help AI agents perform specialized tasks in this domain.