A hierarchical multi-agent quality assurance framework that implements cross-verification to ensure AI-generated deliverables are accurate, formatted, and hallucination-free.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quality-pipeline
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 quality-pipeline 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 Quality Pipeline?
The Quality Pipeline is a sophisticated verification framework designed for Openclaw Skills that enforces a strict separation of concerns between production and auditing. By adhering to the core principle that the producing agent cannot be the auditor, this skill orchestrates multiple specialized models—such as Doubao Seed 2.0 Pro and DeepSeek R1—to perform tiered checks on AI-generated content. It is specifically engineered for high-stakes environments where academic papers, official documents, and professional reports require human-level scrutiny and logical consistency.
This workflow optimizes the value of Openclaw Skills by providing a reliable safety net against common LLM failures like placeholders, garbled text, and fake citations. Each stage of the pipeline produces actionable feedback, ensuring that the final output delivered to the end-user meets the highest professional standards through a systematic, multi-layered approval process.
Quality Pipeline Use Cases
- Validating academic papers to ensure citation accuracy and logical innovation.
- Reviewing official government or corporate documents for strict formatting and naming compliance.
- Auditing technical reports to eliminate AI-generated placeholders or unverified data points.
- Implementing automated quality gates for multi-agent collaboration workflows.
How Quality Pipeline Works
- L1 Existence Check: Uses efficient models to verify file paths and accessibility.
- L2 Authenticity Scan: Employs DeepSeek R1 to identify garbled text, placeholders, and word count compliance.
- L3 Accuracy Audit: A secondary agent validates formatting, file naming, and reference integrity against a predefined anti-hallucination checklist.
- L4 Professional Review: A dual-agent setup (Editor-in-chief and Academic Reviewer) analyzes logical depth and professional quality.
- L5 Final Decision: A CEO agent synthesizes all data to either approve delivery or issue a specific rework command to the original agent.
Quality Pipeline Setup
To deploy this within your Openclaw Skills environment, ensure you have the necessary model API keys configured (Doubao and DeepSeek). Use the following template to trigger the pipeline:
# Trigger the quality check agent with specific parameters
# Ensure the deliverable is stored in the ThunderVault directory
You must also provide the anti-hallucination handbook at references/anti-hallucination.md for L3 verification to function correctly.
Quality Pipeline Data Schema & Taxonomy
The Quality Pipeline organizes its verification metadata as follows:
| Layer | Focus | Output Format |
|---|---|---|
| L1 | File Integrity | Boolean + Path Status |
| L2 | Content Sanity | List of placeholders/errors |
| L3 | Format/Refs | ✅/❌ + Modification Suggestions |
| L4 | Professionalism | Score + Revision Instructions |
| L5 | Decision | Deliver vs. Rework Command |
All results are consolidated into a final report including specific rework locations (paragraph/file) and required repair directions.
Quality Pipeline Advanced Features
- Multi-model cross-validation to eliminate single-model bias and hallucinations.
- Integrated anti-hallucination protocol featuring DOI validation and data traceability signals.
- Defensive writing rules and automated rework triggers with pinpoint feedback.
- Flexible scaling of verification depth based on the priority of the deliverable (e.g., bypassing L4 for daily tasks).
SKILL.md
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