Tribunal Install & Initialise for Openclaw

A powerful quality enforcement plugin for Claude Code that automates TDD, secret scanning, and context monitoring for AI-driven projects.

koshaji
v1.0.0
Mar 6, 2026
0
811
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install tribunal-install

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install tribunal-install using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Tribunal Install & Initialise?

Tribunal is a comprehensive quality enforcement tool specifically designed to act as a guardian for AI-assisted development. By integrating this skill from the Openclaw Skills collection, developers can ensure that Claude Code adheres to strict engineering standards. It functions by hooking into the agent's file-writing process, verifying that tests pass before code is finalized and scanning for sensitive information like API keys before they are committed.

Beyond simple linting, Tribunal provides a sophisticated workflow for managing AI context and multi-agent coordination. It allows teams to define specific quality gates and installation packs tailored to different tech stacks, ensuring that the AI agent remains productive without sacrificing codebase integrity or security.

Tribunal Install & Initialise Use Cases

  • Establishing a TDD-first workflow for projects utilizing Claude Code.
  • Automating secret and credential scanning to prevent accidental leaks by AI agents.
  • Implementing quality gates for complex Agent Teams workflows to validate sub-agent outputs.
  • Monitoring context window usage to prevent token overflow and loss of agent performance.
  • Standardizing project setup for new AI-assisted development environments.

How Tribunal Install & Initialise Works

  1. The user installs the Tribunal CLI through standard package managers like pip, npm, or brew.
  2. Running the init command creates a configuration wizard to define TDD levels and security monitors.
  3. Tribunal automatically hooks into the Claude Code lifecycle to monitor every file-write operation.
  4. Real-time file checkers run language-specific quality tests and secret scans on AI-generated code.
  5. TDD enforcers block the agent from proceeding if newly written code fails existing or new test specs.
  6. A live dashboard provides a visual feed of all quality hooks and audit summaries for the developer.

Tribunal Install & Initialise Setup

Install Tribunal using your preferred package manager:

pip install tribunal
# or
uv add tribunal
# or
npm install -g tribunal

Initialize your project by running the following command in your root directory:

tribunal init

For automated setup or within Openclaw Skills agent workflows, use the non-interactive one-liner:

pip install tribunal && tribunal init --non-interactive && tribunal doctor

Tribunal Install & Initialise Data Schema & Taxonomy

Tribunal manages its configuration and auditing through a structured set of files within the project directory:

Path Purpose
.claude/tribunal.json Stores primary configuration, including TDD enforcement levels and monitor states.
.claude/settings.json Modified to include hook links that trigger Tribunal during Claude Code operations.
tribunal/ui/viewer.html A standalone HTML dashboard for viewing live hook events and quality metrics.
.claude/ Directory where AI-specific metadata and audit logs are maintained.

Tribunal Install & Initialise Advanced Features

  • Custom Quality Packs for language-specific enforcement (e.g., python-strict, nextjs-quality).
  • Standalone CI mode for running quality checks in automated pipelines without Claude Code.
  • Agent Teams support with specialized gates like teammate_idle and task_completed.
  • Comprehensive health checking via the doctor command to ensure environment stability.
  • Machine-readable JSON output for integration into external monitoring or reporting tools.

SKILL.md


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