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Agent Skill · 研究检索

warden-studio-deploy(Warden 工作室部署)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

warden-studio-deploy 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 2,866。

总安装 53,175周安装 2,238GitHub Stars 1下载 18,620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
1.0.0

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:warden-studio-deploy(Warden 工作室部署)
来源仓库:https://github.com/kryptopaid/warden-studio-deploy
安装命令:
openclaw skills install warden-studio-deploy
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 warden-studio-deploy

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。

通过浏览器自动化使用 Warden Studio (studio.wardenprotocol.org) 将社区代理注册/发布到 Warden 代理中心。

当您需要 (1) 登录 Studio,(2) 创建/提交代理列表,(3) 配置 API URL/身份验证、技能、头像和计费模型,(4) 支付注册 + Gas,以及 (5) 验证代理是否出现在 Studio 和 Warden 的代理中心中时,请使用。专为安全、可重复的发布而设计,具有明确的确认门。

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 warden-studio-deploy;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

    它需要接触敏感数据,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

warden-studio-deploy 怎么安装?

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

warden-studio-deploy 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。

warden-studio-deploy 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

warden-studio-deploy 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。

warden-studio-deploy 用的人多吗?

公开数据是累计安装 53,175 次,近一周安装 2,238 次,下载 18,620 次,GitHub 1 星。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。

warden-studio-deploy 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
warden-studio-deploy

Warden 工作室部署 · 本页

53,1751接触敏感数据MIT-0通过

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

name
warden-studio
description
Use Warden Studio (studio.wardenprotocol.org) via browser automation to register/publish a Community Agent to the Warden Agent Hub. Use when you need to (1) log in to Studio, (2) create/submit an agent listing, (3) configure API URL/auth, skills, avatar, and billing model, (4) pay registration + gas, and (5) verify the agent appears in Studio and in Warden's Agent Hub. Designed for safe, repeatable publishing with explicit confirmation gates.

Warden Studio

Automate publishing a Community Agent in Warden Studio through a safe, repeatable workflow that other agents can follow.

Safety & constraints (non-negotiable)

  • Never request or store seed phrases / private keys.
  • Never ask the user to paste secrets into chat. If an API key must be entered, instruct the user to paste it directly into the Studio UI field.
  • Treat publishing/onchain registration as high-risk: confirm network, fees, and what is being signed before any wallet confirmation.
  • Prefer read-only validation (checking forms, status, preview) unless the user explicitly authorizes execution (e.g., "yes, publish" / "yes, execute").
  • Do not reveal any private info (local files, credentials, IPs, internal logs).
  • Public comms: do not claim any affiliation or relationship unless it is publicly disclosed and the user explicitly asks you to state it.

What this skill does

Typical outcomes:

  • Log into https://studio.wardenprotocol.org
  • Create a new Agent submission/listing
  • Provide:

- API URL (service endpoint) - API key / auth method (if required) - Name, description, skills, avatar - Billing model (free vs paid per inference, in USDC)

  • Pay registration fee + gas (if prompted by the UI)
  • Verify the agent shows up in Studio and becomes discoverable in Warden's Agent Hub (Community tab), when applicable.

Workflow (UI automation)

0) Preconditions

  1. A Chromium browser is available (Chrome/Brave/Edge/Chromium). (Firefox not supported.)
  2. User can log in to Warden Studio (email/SSO/2FA completed).
  3. The agent is already deployed somewhere and reachable via HTTPS (no UI required):

- stable API base URL - (optional) API key or token if the endpoint is protected

  1. Funding is ready for registration (if required by the flow):

- USDC on Base for the registration fee (confirm the fee in the UI) - ETH on Base for gas

If any of the above is missing, stop and ask the user to do that step.

1) Open + stabilize Studio

  • Open: https://studio.wardenprotocol.org
  • Wait for the landing/dashboard to load.
  • Take a snapshot and identify:

- logged-in user / account handle - any "Agents" list/table or "Submit / Create agent" entry point - network/payment cues (e.g., Base, USDC, wallet connection state)

If Studio is gated by login, stop and ask the user to complete login in the UI.

2) Read-only checks (default)

Use these first to prevent failed submissions:

  • Confirm the agent endpoint is reachable:

- the URL is HTTPS - no obvious typos - (if a "Test connection" exists) run it

  • Validate required metadata is prepared:

- agent name (short) - description (clear, non-misleading) - skills list (concise + accurate) - avatar image ready (square recommended)

  • Check billing/monetization options:

- free vs per-inference (USDC) - expected fees shown by the UI

3) Draft the submission (no publishing yet)

Direct create page (recommended): https://studio.wardenprotocol.org/agents/create

Current “Register Agent” form fields

Fill the form top-to-bottom to match the UI sections:

  1. API details

- API URL* — your agent’s HTTPS endpoint - API Key — if your endpoint requires a key *Never paste secrets into chat; enter them directly into the Studio field.*

The UI may also show helper links like “Build an agent using LangGraph” / “How it works”.

  1. Info

- Agent Name* - Select agent skills* — choose the relevant skill tags - Describe the key features of the agent* — short, accurate capability summary

  1. Agent avatar

- Paste link to add an agent avatar → Image link (URL)

  1. Billing model

- Choose how the agent charges users: Per inference or Free - If Per inference: Cost in USDC* (numeric)

  1. Agent Preview

- Agent name - Short description about your agent (max 100 characters)

  1. Final action: Register agent

Navigate to the agent submission flow (or go directly to https://studio.wardenprotocol.org/agents/create), then fill fields in a deterministic order:

  1. Identity

- Agent name - Short tagline (if any) - Category (if any)

  1. Capabilities

- Description - Skills (keywords and/or bullet list) - Links (docs, GitHub, website) if requested

  1. Integration

- API URL (service endpoint) - Auth: - API key field (if present), or - header/token configuration (if present)

  1. Branding

- Upload avatar - Optional banner/images (if supported)

  1. Monetization

- Choose billing model (free vs paid/per inference) if supported - Review any platform/registration fee disclosures

At the end of drafting, stop and show the user a Submission Summary:

  • Agent name + description (1–2 lines)
  • Skills list
  • API URL (domain + path)
  • Auth method (mask any key/token)
  • Billing model + any displayed fees

4) Publish / register (requires explicit approval)

Execution gate: Do not click the final "Publish / Register / Submit" button unless the user explicitly replies with "yes, publish" or "yes, execute" (or an unambiguous equivalent).

Before finalizing, summarize:

  • What action will happen (publish/register agent listing)
  • What network/payment is involved (e.g., Base; registration fee + gas, as shown in the UI)
  • Any costs shown in the UI (USDC amount + estimated gas)
  • What could go wrong:

- wrong endpoint / downtime → failed validation - wrong billing settings - wallet prompt on wrong network - unintended fee payment

Then proceed with the final click and wallet confirmation step (user signs in their wallet).

5) Post-publish verification

After publishing/registration:

  • Confirm status in Studio:

- "Submitted", "Pending", "Published", etc.

  • Capture any agent identifier or link shown (listing URL).
  • Check the agent appears in Studio's Agents list.
  • If the UI mentions distribution:

- verify it appears in Warden Agent Hub → Community tab (when available)

  • Record any errors verbatim and capture screenshots of:

- validation errors - payment failures - endpoint/auth failures

Troubleshooting playbook

Common failures and fixes:

  • Endpoint validation fails

- Check HTTPS, trailing slashes, versioned paths - Confirm the agent server is live and not geo-blocked - If auth required, verify the correct key/token was entered in UI (never paste it into chat)

  • Wallet/network mismatch

- Ensure wallet is on the correct network (e.g., Base) if Studio requires it

  • Insufficient funds

- Add USDC on Base for fee and ETH on Base for gas, then retry

Building a wrapper skill other agents can use

When asked to "create a skill that lets other agents publish via Warden Studio":

  1. Record the minimal repeatable workflow (URLs + UI landmarks) in references/warden-studio-ui-notes.md.
  2. Keep SKILL.md stable and general; put volatile UI selectors, screenshots, and clickpaths in references.
  3. Only add deterministic scripts if they reduce errors (e.g., a submission summary checklist formatter).

References

  • Read references/warden-studio-ui-notes.md for the latest Studio navigation map, observed fields, and publishing quirks.

平台分布

OpenClaw

83.16%
按下载量换算15,484

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。目前只有一个公开来源,建议同时核对源仓库。

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