jiang-irac-nonuse-evidence
InstallCNIPA withdraws three (not used for three consecutive years) dual-track evidence engine: defense evidence chain construction + cross-examination audit (SJ-6 + IRAC + risk AāE).
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install jiang-irac-nonuse-evidenceOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install jiang-irac-nonuse-evidenceā ļø Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js ā
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/jiang-irac-nonuse-evidence/š”Extract and place the folder at the path above, then restart your agent.
Category
š ļøGeneral ToolsPlatforms
What Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) can do for your AI workflow
Cnipa withdraws three directly from your Claude conversation
Works across Claude, Cursor, OpenClaw ā install once, use everywhere
Trusted by 1,869+ developers worldwide
One-command installation ā no complex setup required
Combine with other skills to build powerful multi-step AI workflows
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Guides & tutorials for AI skills
Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) extends your AI assistant with the ability to cNIPA withdraws three (not used for three consecutive years) dual-track evidence engine: defense evidence chain construction + cross-examination audit (SJ-6 + IRAC + risk AāE). Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly ā and it will take care of the task end-to-end, using Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) as its underlying capability.
Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) ā an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) 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.
Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) installs like any other MCP skill: drop the folder into `~/.claude/skills/jiang-irac-nonuse-evidence/` for global access, or `.claude/skills/jiang-irac-nonuse-evidence/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/jiang-irac-nonuse-evidence`, or let the AI decide when it's the right tool for your request.
Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) has been installed 1,869 times, making it one of the more actively used skills in the General Tools 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/jiang-irac-nonuse-evidence/ for personal use (all projects), or .claude/skills/jiang-irac-nonuse-evidence/ for project-specific use. Restart your AI client, then invoke with /jiang-irac-nonuse-evidence or let the AI discover it automatically.
Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) is free to install. Check the repository for licensing information.
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Identifies repetitive steps in your workflow and sets up Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) to handle them automatically
MCP vs traditional plugins: what's the difference?
CNIPA withdraws three (not used for three consecutive years) dual-track evidence engine: defense evidence chain construction + cross-examination audit (SJ-6 + IRAC + risk AāE).
Jiang Daoliļ½Removal of three evidence chains and risk audit engine (SJ-IRAC) is categorized under General Tools. These skills help AI agents perform specialized tasks in this domain.