Token导航 LogoToken导航

Agent Skill · 研究检索

test-02(测试 02)

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

test-02 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 30,744。

总安装 2,822周安装 120GitHub Stars 公开资料未说明下载 989核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.1

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:test-02(测试 02)
来源仓库:https://github.com/sebconejo/test-02
安装命令:
openclaw skills install test-02
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install test-02

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

自动在每日 subreddit 序列中发布有关 OpenClaw 开源工具和资源的精选 Reddit 讨论。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install test-02;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

test-02 怎么安装?

在终端执行 openclaw skills install test-02。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

test-02 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

test-02 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

test-02 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

test-02 用的人多吗?

公开数据是累计安装 2,822 次,近一周安装 120 次,下载 989 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

test-02 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
test-02

测试 02 · 本页

2,822—操作浏览器MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Reddit posts for Awesome OpenClaw Resources

Repo: https://github.com/SebConejo/awesome-openclaw-resources

Post one sub per day in this order.


1. r/openclaw

Title: I compiled 70+ open source tools, tutorials, and resources for OpenClaw into one list

Body:

Been digging through the ecosystem for a while and realized there was no single place listing everything worth knowing about. So I put one together.

It covers:

  • Open source LLM routers (route requests to cheaper models automatically)
  • Observability tools (track tokens, cost, latency per call)
  • Hosting and deployment (Docker, K8s, one-click VPS setups)
  • Security (guardrails, prompt injection defense, sandboxing)
  • Skills and plugins
  • Tutorials from beginner to advanced
  • Podcasts including the Lex Fridman episode with Peter
  • Content creators worth following

CC0 licensed, open to contributions. If your project or something you use is missing, open a PR.

https://github.com/SebConejo/awesome-openclaw-resources


2. r/LocalLLaMA

Title: Awesome list of open source tools for OpenClaw, focused on cost reduction and model routing

Body:

Put together a curated list of open source tools for people running OpenClaw. A big chunk of it is about solving the token burn problem.

The LLM routers section lists tools that sit between your agent and the provider and route each request to the cheapest model that can handle it. Some claim 70%+ savings by sending simple tasks to small models and reserving frontier models for what actually needs them.

There is also an observability section with dashboards that break down token usage and cost per call, so you can see where the money goes before trying to fix it.

The rest covers hosting (Docker, K8s, VPS), security, skills, tutorials, podcasts, and content creators.

Open source, CC0 licensed. PRs welcome if something is missing.

https://github.com/SebConejo/awesome-openclaw-resources


3. r/selfhosted

Title: Curated list of self-hosting tools for OpenClaw (Docker, K8s, VPS deployments, security)

Body:

If you are self-hosting OpenClaw or thinking about it, I put together an awesome list that has a dedicated hosting section.

What is in there:

  • Docker setups (multiple options, including one with Chromium for browser skills)
  • A Kubernetes operator with auto-updates, backup/restore, and Prometheus integration
  • Hardened VPS deployment with Docker Compose, Caddy TLS, Redis, and automated S3 backups
  • Security tools: prompt injection defense, sandboxed execution, config auditing

The list also covers LLM routers (route to cheaper models to cut API costs), observability dashboards, tutorials, and more.

Everything is open source. CC0 licensed. Contributions welcome.

https://github.com/SebConejo/awesome-openclaw-resources


4. r/ChatGPTCoding

Title: 70+ open source tools and resources for OpenClaw, organized by category

Body:

Compiled a list of everything useful I could find for OpenClaw. Figured other people building with it might save some time.

Categories: LLM routers (cheaper API calls by routing to the right model), observability (see where your tokens go), hosting (Docker/K8s/VPS), security, skills and plugins, tutorials, podcasts, and content creators.

All open source. If you know something that should be on the list, PRs are open.

https://github.com/SebConejo/awesome-openclaw-resources


5. r/artificial

Title: Curated list of 70+ open source tools and resources for the OpenClaw AI agent ecosystem

Body:

OpenClaw has grown fast and the ecosystem around it is getting hard to navigate. I put together an awesome list covering the main categories.

Open source LLM routers, observability dashboards, hosting platforms, security tools, skills and plugins, tutorials, podcasts, and content creators. Everything links to the source.

Open source and CC0 licensed. Contributions welcome via PR.

https://github.com/SebConejo/awesome-openclaw-resources


6. r/ClaudeAI

Title: Awesome list of open source tools for OpenClaw (the autonomous agent running on Claude)

Body:

Put together a curated list for people using OpenClaw. Since most setups run on Claude, figured this sub might find it useful.

The list covers LLM routers (route simple tasks to cheaper models, keep Claude for the hard stuff), observability (track token usage and cost), hosting, security, skills, tutorials, podcasts, and content creators.

One thing that might interest this sub specifically: the LLM routers section. A few of those tools let you automatically send simple requests to Haiku or Flash and reserve Opus/Sonnet for reasoning tasks. Cuts the bill without changing how the agent works.

Open source, CC0. PRs welcome.

https://github.com/SebConejo/awesome-openclaw-resources


7. r/LangChain

Title: Curated list of open source infrastructure tools for OpenClaw agents

Body:

If you are working with AI agents and curious about the OpenClaw ecosystem, I compiled an awesome list of open source tools.

Relevant to this sub: LLM routing (same concept as LangChain's model fallback but as standalone tools), observability with Langfuse integration, MCP adapters, and a reinforcement learning framework for agent personalization.

Full list covers hosting, security, skills, tutorials, podcasts, and more.

https://github.com/SebConejo/awesome-openclaw-resources


8. r/devops

Title: Open source deployment and infrastructure tools for OpenClaw (K8s operator, Docker, hardened VPS)

Body:

If anyone here is deploying OpenClaw in production, I compiled a list of open source infra tools that might save you some research.

Highlights for this sub:

  • K8s operator with auto-updates, backup/restore, and Prometheus metrics
  • Hardened VPS deployment (Docker Compose, Caddy TLS, Redis, S3 backups)
  • Multiple Docker setups (auto-build, daily checks for new releases)
  • Security: config auditing, sandboxed execution, prompt injection guardrails
  • Observability dashboards with token and cost tracking

The full list also covers LLM routing, skills, tutorials, and more.

https://github.com/SebConejo/awesome-openclaw-resources

平台分布

OpenClaw

93.39%
按下载量换算924

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills