Haqq Workbench is a master orchestration skill that coordinates multiple ethical, Islamic content verification, and research agents into a unified, high-integrity workflow.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install haqq-workbench
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install haqq-workbench using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Haqq Workbench acts as the central nerve system and master orchestrator for the entire Haqq ecosystem of AI agents. Inspired by rigorous ethical principles and strict information verification guidelines, it coordinates several independent tools—such as hadith verifiers, fact-checkers, moral compasses, corruption fighters, and social media publishers—to ensure that all generated output remains authentic, accurate, and aligned with ethical standards.
By unifying these disparate modules under a single workspace, Haqq Workbench resolves logic conflicts, manages execution priority, and enforces a strict Double Gate verification process before publishing any content. It serves developers and creators who require high-integrity automated operations without compromising on factual truth, setting a benchmark for structured multi-agent systems built with Openclaw Skills.
Ensure you have your environment configured to run Openclaw Skills. Install the master workbench and its dependencies:
# Install the master workbench
openclaw skill install haqq-workbench
# Ensure all dependent skills are installed
openclaw skill install hadith-verifier corruption-burner haqq-ethics fact-check verify-claims web-researcher selective-memory ai-ethics moral-compass justice-seed social-media-scheduler
Configure your credentials and API keys in your environment configuration to enable web search, publishing, and memory features.
The workbench utilizes a unified context object to pass data down the agent pipeline. The following table highlights the internal execution schema and metadata taxonomy:
| Field | Type | Description |
|---|---|---|
content_id |
String | Unique identifier for the content block. |
double_gate_status |
Enum | Status of verification: PENDING, RELIGIOUS_PASSED, REALITY_PASSED, APPROVED, REJECTED. |
hadith_status |
Enum | Authenticity of cited resources: SAHIH, DAEEF, FABRICATED, NONE. |
ethics_score |
Float | Compliance index calculated by haqq-ethics and ai-ethics (0.0 to 1.0). |
execution_log |
Array | Tracing data logging each step of the sub-skills coordination. |
memory_context |
Object | Historical variables extracted via selective-memory to maintain operational context. |
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