ab-test-agent-workflow多agent双盲 A/B 测试工作流。对多个 AI model/Agent 进行多轮次、双盲对照测试。 核心role:coordinate者(Coordinator)、受测者 A/B(Contestant)、评测者(Judge)。 trigger场景:"A/B 测试"、"双盲测试"、"比较 AI model"、"...
Install via ClawdBot CLI:
clawdbot install johnsmithfan/ab-test-agent-workflowGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 12, 2026
An enterprise wants to compare the performance of GPT-4o and Claude Sonnet 4 on customer support tasks (e.g., drafting replies, extracting info from transcripts). The AB Test Agent runs multiple rounds of blind comparisons with custom rubrics for accuracy, completeness, and tone, producing a data-driven recommendation.
A team develops two different agent architectures (e.g., ReAct vs. Plan-and-Execute) for a document summarization task. AB Test validates which design produces more concise, accurate summaries under the same prompts, with judge scoring and aggregated win rates.
A content team is iterating on two prompt styles (e.g., 'You are a helpful assistant' vs. 'You are an expert writer') for generating marketing copy. The workflow tests both versions side-by-side across rounds, controlling for order bias and providing structured scores and commentary.
A development shop compares two code generation models or fine-tuned variants on tasks like writing Python scripts or SQL queries. The AB Test Agent uses code-specific rubrics (correctness, readability, efficiency) and handles prompt templates that prioritize code output even under timeouts.
An EdTech platform tests two AI tutors (same underlying model but different system prompts) for explaining a math concept. The blind judge evaluates accuracy, clarity, and engagement, helping decide which tutoring style to deploy.
Offer structured A/B test reports to AI model vendors or enterprises evaluating models, with per-test fees or subscription tiers. Each test generates a detailed, auditable comparison that buyers trust.
Integrate the AB Test Agent into a platform like Hugging Face or a model routing service, letting users instantly compare models on custom prompts. Revenue comes from a small transaction fee or premium evaluation features (custom rubrics, extended rounds).
Companies use AB Test Agent as a CI/CD gate before deploying new model versions in production. The tool runs a predefined test suite and blocks rollout if the new model underperforms, sold as a one-time license or annual enterprise subscription.
💬 Integration Tip
Prepare anonymizer scripts to strip model names from outputs; define standard rubrics per task type (code, writing, reasoning) and pre-configure Judge prompts for consistent parsing.
Scored Jul 10, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.