Tribunal is a robust quality enforcement plugin for Claude Code that automates TDD, secret scanning, and multi-agent quality gates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tribunal-usage
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tribunal-usage 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: Quality Enforcement for AI Agents?
Tribunal serves as a comprehensive quality governance layer for AI-driven development. It integrates directly with Claude Code to intercept file operations, test executions, and agent communications, ensuring that all AI-generated code meets strict organizational standards. By utilizing Openclaw Skills like Tribunal, developers can enforce Test-Driven Development (TDD) principles, prevent secret leakage, and manage complex multi-agent orchestrations with confidence.
Once active, Tribunal hooks into the lifecycle of an agent, providing a safety net that prevents broken or insecure code from being committed. It bridges the gap between raw AI output and production-ready code by applying automated gates that can either warn or block agents based on real-time test coverage and linting results.
Tribunal: Quality Enforcement for AI Agents Use Cases
- Enforcing TDD by blocking file writes until corresponding tests are written and passing.
- Preventing sensitive information from being committed through automated secret scanning during the write process.
- Integrating quality gates into CI/CD pipelines to validate AI-generated pull requests before human review.
- Governing multi-agent teams by ensuring sub-agents meet quality standards before handing off tasks to an orchestrator.
- Monitoring LLM context window usage to prevent performance degradation during long-running coding sessions.
How Tribunal: Quality Enforcement for AI Agents Works
- Initialize Tribunal within your project directory to set up necessary hooks and configuration files.
- Select a quality mode, such as strict or chill, to define the level of enforcement required for the session.
- As Claude Code interacts with the codebase, Tribunal intercepts lifecycle events like PreToolUse and PostToolUse.
- The plugin runs configured checks, such as linting, testing, and security scanning, against the proposed changes.
- Tribunal either allows the operation to proceed, issues a warning, or blocks the agent until the code meets the defined quality gates.
- All events, including blocks and warnings, are logged to a centralized audit file for review and compliance tracking.
Tribunal: Quality Enforcement for AI Agents Setup
Install Tribunal using pip and initialize the project setup to configure your environment:
pip install tribunal
tribunal init
To verify that all hooks and dependencies are correctly configured for your Openclaw Skills workflow, run the health check:
tribunal doctor
Tribunal: Quality Enforcement for AI Agents Data Schema & Taxonomy
Tribunal manages its configuration and logs within the project directory to ensure transparency and version control compatibility.
| File Path | Description |
|---|---|
.tribunal/audit.jsonl |
Structured log of all hook events, outcomes, agent IDs, and durations. |
tribunal/settings.json |
Core configuration for context thresholds and monitoring. |
tribunal/modes/*.json |
Custom enforcement levels (e.g., coverage thresholds, TDD enforcement types). |
.claude/ |
Technical wiring for Claude Code hook integration. |
Tribunal: Quality Enforcement for AI Agents Advanced Features
- Multi-agent orchestration support with TeammateIdle hooks to gate sub-agent handoffs based on code health.
- Extensible plugin packs for language-specific quality rules including Python-strict, Go-TDD, and Next.js-quality.
- Full MCP (Model Context Protocol) integration, allowing agents to query their own audit logs and status via tools.
- Real-time VS Code status bar integration providing visual feedback on passing or blocked quality gates.
- Live web-based dashboard for visual monitoring of hook feeds, context usage, and session statistics.
SKILL.md
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