agent-benchmark通过12个标准化任务自动评估AI Agent在文件操作、数据处理、系统操作、健壮性与代码质量五大维度的综合能力。
Install via ClawdBot CLI:
clawdbot install yuyonghao-123/agent-benchmarkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 23, 2026
在发布新版本的 AI Agent 之前，运行基准测试套件，验证其在文件操作、数据处理等五个维度的表现是否达到预期标准，确保生产就绪。适用于 AI 开发团队进行版本验收。
每次更新 AI Agent 核心功能后，自动执行基准测试，对比历史报告，确保新代码未引入回归问题。常用于持续集成流水线中的质量门禁。
在同一套测试任务下运行不同配置或不同底层模型（如 GPT-4、Claude）的 AI Agent，通过评分和效率分析，选择最适合特定业务场景的模型。
针对 AI Agent 在特定维度（如数据处理）得分较低的情况，分析详细结果，定位薄弱任务，从而指导后续的模型微调或技能增强。
企业根据自身业务（如金融、医疗）创建自定义任务集，评估 AI Agent 处理领域特定操作（如报表生成、数据处理）的能力。
提供免费的开源核心基准测试框架，吸引社区用户；同时推出企业版，包含高级分析报告、私有化部署支持、定制任务模板等增值服务。
将基准测试功能集成到已有的 AI Agent 管理平台中（如 LangSmith、Dify），作为“质量评估”模块，按调用次数或报告生成数量收取附加费用。
与行业标准组织合作，提供官方认证的 AI Agent 能力评级，颁发证书。厂商为通过认证的 Agent 支付认证费用，或为每个认证报告付费。
💬 Integration Tip
将 benchmark-runner.ps1 集成到 CI/CD 流水线，然后使用报告的 JSON 格式结果自动触发告警或门禁决策。
Scored Jun 29, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.
A unified OpenClaw skill that merges self-improvement and proactivity: learn from corrections, maintain active state, recover context fast, and keep work mov...
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...