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Agent Skill · 研究检索

render-deploy(渲染部署)

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。

render-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 8,338。

总安装 16,608周安装 692GitHub Stars 公开资料未说明下载 5,536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:render-deploy(渲染部署)
来源仓库:https://github.com/ivangdavila/render-deploy
安装命令:
openclaw skills install render-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 render-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。

通过代码库分析、render.yaml 蓝图生成、MCP 直接配置和部署后验证在 Render 上部署应用程序。

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 render-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

render-deploy 怎么安装?

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

render-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。

render-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。

render-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。

render-deploy 用的人多吗?

公开数据是累计安装 16,608 次,近一周安装 692 次,下载 5,536 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。

render-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
render-deploy

渲染部署 · 本页

16,608—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
Render Deploy
slug
render-deploy
version
1.0.0
homepage
https://clawic.com/skills/render-deploy
description
Deploy applications on Render with codebase analysis, render.yaml Blueprint generation, MCP direct provisioning, and post-deploy verification.
changelog
Added end-to-end Render deployment guidance with method selection, runtime checks, and practical troubleshooting flows.
metadata
{"clawdbot":{"emoji":"🚀","requires":{"bins":["git","render"],"env":["RENDER_API_KEY"],"config":["~/render-deploy/"]},"primaryEnv":"RENDER_API_KEY","install":[{"id":"brew","kind":"brew","formula":"render","bins":["render"],"label":"Install Render CLI (Homebrew)"}],"os":["linux","darwin","win32"]}}

Setup

On first use, read setup.md for integration guidelines. If local memory is needed, ask for consent before creating ~/render-deploy/.

When to Use

Use this skill when the user wants to deploy, publish, or host an application on Render and needs reliable deployment execution instead of generic advice. Activate for render.yaml Blueprint generation, MCP direct service creation, runtime configuration checks, and post-deploy triage.

Architecture

Memory lives in ~/render-deploy/. See memory-template.md for setup.

~/render-deploy/
|- memory.md                  # Stable preferences and integration choices
|- deployment-notes.md        # Project-level deployment decisions
|- env-inventory.md           # Required env vars and source of truth
`- incident-log.md            # Deploy failures and resolved fixes

Quick Reference

Load only the minimum file needed for the current request.

TopicFile
Setup processsetup.md
Memory templatememory-template.md
Codebase detection and commandscodebase-analysis.md
Blueprint workflow and render.yaml rulesblueprint-workflow.md
Authentication and MCP execution mappingdirect-creation.md
Startup and healthcheck troubleshootingtroubleshooting.md

Authentication Model

Before any provisioning command, confirm one of these is active:

  • RENDER_API_KEY is exported in the shell, or
  • Render CLI is authenticated (render whoami -o json)

For git-backed flows, require git and a valid remote URL. Do not attempt opaque credential discovery or unrelated environment inspection.

Core Rules

1. Classify the Deployment Path First

Before proposing commands, decide which path applies:

  • Git-backed deploy (Blueprint or Direct Creation)
  • Prebuilt Docker image deploy via Dashboard/API

If the repository has no remote, stop and ask the user to push a remote or switch to dashboard image deploy.

2. Choose Method by Complexity, Not Preference

Default decision:

  • Direct Creation when it is one simple service and no extra infra
  • Blueprint when there are multiple services, datastores, cron, workers, or reproducibility requirements

If uncertainty remains, ask one clarifying question and continue.

3. Verify Prerequisites Before Any Deploy Action

Run checks in this order:

  • git remote -v for source availability
  • MCP availability (list_services())
  • CLI fallback readiness (render --version, render whoami -o json)
  • Active workspace context (MCP or CLI)
  • Authentication presence (RENDER_API_KEY or authenticated CLI session)

Do not proceed to deployment steps when prerequisites are missing.

4. Treat render.yaml as Executable Infrastructure

When using Blueprint:

  • Declare all required env vars
  • Mark user-provided secrets with sync: false
  • Prefer plan: free unless user requests another plan
  • Match service type and runtime to the actual app behavior

After creating the file, validate before push.

5. Require Push Before Deeplink Handoff

Before sharing a Render Blueprint deeplink, confirm render.yaml is committed and pushed to the remote branch. If not pushed, the Dashboard flow will fail to discover the configuration.

6. Verify the Deployment and Close With Evidence

After deployment:

  • Confirm latest deploy status is live
  • Check health endpoint response
  • Review recent error logs
  • Validate required env vars and port binding (0.0.0.0:$PORT)

If failures exist, run one-fix-at-a-time triage from troubleshooting.md.

Common Traps

  • Starting deploy without a git remote -> Blueprint and MCP git-backed flows fail immediately.
  • Picking Direct Creation for multi-service systems -> Missing workers/datastores and fragmented setup.
  • Forgetting sync: false on secrets -> Broken deploys or accidental secret exposure in config.
  • Using localhost binding instead of 0.0.0.0:$PORT -> Health checks fail even when process is running.
  • Redeploying repeatedly without root-cause fix -> Noisy failures and delayed resolution.

External Endpoints

EndpointData SentPurpose
https://dashboard.render.comRepository URL, service config, env key namesBlueprint apply flow and dashboard provisioning
https://mcp.render.comService creation/config requests and workspace-scoped metadataMCP direct provisioning
https://api.render.comDeployment metadata, logs, service status (via CLI/API)Validation and operational checks

No other endpoints should be used unless the user requests an explicit integration.

Security & Privacy

Data that leaves your machine:

  • Repository URL and deployment metadata sent to Render services.
  • Environment variable names and provided values when the user explicitly sets them.

Data that stays local:

  • Preferences and deployment history in ~/render-deploy/ if the user accepts memory.
  • Local codebase inspection outputs and interim analysis notes.

This skill does NOT:

  • Read unrelated credentials outside the deployment context.
  • Scrape credentials from shell history, dotfiles, or unrelated config paths.
  • Send project files to undeclared third-party endpoints.
  • Run destructive infrastructure changes without explicit confirmation.

Trust

By using this skill, deployment metadata and selected configuration are sent to Render services. Only use it if you trust Render with this operational data.

Related Skills

Install with clawhub install <slug> if user confirms:

  • deploy - General deployment planning and release execution.
  • devops - CI/CD, infrastructure workflows, and ops coordination.
  • docker - Container packaging and runtime configuration.
  • ci-cd - Pipeline automation and release validation stages.
  • nodejs - Runtime-specific app configuration and startup tuning.

Feedback

  • If useful: clawhub star render-deploy
  • Stay updated: clawhub sync

平台分布

OpenClaw

97.16%
按下载量换算5,379

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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