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Agent Skill · 开发

agent-deployment-checklist(Agent 部署清单)

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。

agent-deployment-checklist 是开发类 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,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 5,273。

总安装 6,618周安装 273GitHub Stars 公开资料未说明下载 2,162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
98.0.1

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:agent-deployment-checklist(Agent 部署清单)
来源仓库:https://github.com/samledger67-dotcom/agent-deployment-checklist
安装命令:
openclaw skills install agent-deployment-checklist
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 agent-deployment-checklist

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

Agent Deployment Checklist 提供 AI 代理基础设施的生产部署清单。覆盖 Mac Mini 与多层服务器架构的安装流程,包括 IAM 配置和客户端设置。帮助标准化部署步骤,确保安全性和可复现性。

安装命令:openclaw skills install agent-deployment-checklist,建议结合项目实际调整配置。需验证本地环境与权限,防止因路径或账户问题导致部署失败。

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 agent-deployment-checklist;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

agent-deployment-checklist 怎么安装?

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

agent-deployment-checklist 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。

agent-deployment-checklist 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。

agent-deployment-checklist 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。

agent-deployment-checklist 用的人多吗?

公开数据是累计安装 6,618 次,近一周安装 273 次,下载 2,162 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。

agent-deployment-checklist 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

  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
agent-deployment-checklist

Agent 部署清单 · 本页

6,618—接触敏感数据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

name
agent-deployment-checklist
description
Production deployment checklist for AI agent infrastructure. Covers Mac Mini and server deployment with 5-layer stack (base install, IAM config, client software, security hardening, onboarding), 5-file memory system pre-scaffolding, security baselines, starter crons, and day-1 onboarding. Use when deploying agents for clients or setting up new infrastructure. NOT for cloud/serverless deployments or containerized agents.
license
MIT
metadata
openclaw
emoji
🚀

Agent Deployment Checklist

Production deployment framework for AI agent infrastructure on dedicated hardware (Mac Mini, Linux servers). Every deployment follows the same 5-layer stack, every time, no shortcuts.


The 5-Layer Deployment Stack

Every agent deployment is five layers applied in order. No layer is optional. Each layer has a binary pass/fail gate before moving to the next.

Layer 1: Base OS + OpenClaw Install (Scripted)

Goal: Clean machine with OpenClaw runtime ready.

Checklist:

  • [ ] Fresh OS install or verified clean state
  • [ ] OS updates applied to latest stable
  • [ ] Xcode Command Line Tools installed (macOS)
  • [ ] Homebrew installed and updated (macOS)
  • [ ] Node.js LTS installed via nvm
  • [ ] Python 3.11+ installed
  • [ ] Git configured with deploy key
  • [ ] OpenClaw CLI installed and verified
  • [ ] Claude Code installed and licensed
  • [ ] Working directory created at ~/.openclaw/workspace
  • [ ] SSH key pair generated for this machine

Script template:

#!/bin/bash
# layer-1-base-install.sh
set -euo pipefail

echo "=== Layer 1: Base Install ==="

# macOS-specific
xcode-select --install 2>/dev/null || true
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew update && brew upgrade

# Runtime
brew install nvm python@3.11 git jq
nvm install --lts
nvm use --lts

# OpenClaw workspace
mkdir -p ~/.openclaw/workspace
cd ~/.openclaw/workspace
git init

echo "Layer 1 complete. Verify: node --version && python3 --version && git --version"

Gate: node --version returns LTS, python3 --version returns 3.11+, git status works in workspace directory.


Layer 2: IAM Config (White-Glove)

Goal: Identity, access, and API keys configured for this specific client/deployment.

This layer is always done manually — never scripted — because every client's access pattern is different.

Checklist:

  • [ ] API keys provisioned (Anthropic, OpenAI if needed)
  • [ ] API keys stored in environment variables (never in files)
  • [ ] .env file created with proper permissions (chmod 600)
  • [ ] Client-specific service accounts created
  • [ ] MCP server credentials configured
  • [ ] GitHub/GitLab access tokens scoped to client repos only
  • [ ] Email/calendar integrations authorized (OAuth tokens)
  • [ ] QuickBooks / accounting integrations connected (if applicable)
  • [ ] All credentials tested with a live API call
  • [ ] Credential rotation schedule documented

Key principle: Client pays for their own API keys and licenses. We never share keys across clients.

# Verify all credentials work
echo "Testing Anthropic API..."
curl -s https://api.anthropic.com/v1/messages \
  -H "x-api-key: $ANTHROPIC_API_KEY" \
  -H "content-type: application/json" \
  -d '{"model":"claude-sonnet-4-20250514","max_tokens":10,"messages":[{"role":"user","content":"ping"}]}' \
  | jq '.content[0].text'

echo "Testing GitHub access..."
gh auth status

Gate: Every configured API key returns a valid response. No 401s, no 403s.


Layer 3: Client-Specific Software (Varies)

Goal: Install and configure whatever tools this specific client needs.

This layer varies per deployment. Common patterns:

For accounting/bookkeeping clients:

  • [ ] QuickBooks MCP server configured (read-only by default)
  • [ ] Financial reporting templates deployed
  • [ ] Tax calendar crons scheduled

For marketing/content clients:

  • [ ] CMS integrations connected
  • [ ] Social media API access configured
  • [ ] Analytics dashboards linked

For development team clients:

  • [ ] CI/CD pipeline access configured
  • [ ] Code review automation set up
  • [ ] Deployment notification channels connected

For legal/compliance clients:

  • [ ] Document management system access
  • [ ] Compliance calendar configured
  • [ ] Audit trail logging enabled

Gate: Client-specific test suite passes. Each integration returns expected data.


Layer 4: Security Hardening (Every Deployment)

Goal: Lock down the machine to production security standards.

Checklist:

  • [ ] Firewall enabled and configured (only required ports open)
  • [ ] SSH hardening applied:

- [ ] Password authentication disabled - [ ] Root login disabled - [ ] Key-only authentication enforced - [ ] Non-standard SSH port configured

  • [ ] Disk encryption enabled (FileVault on macOS, LUKS on Linux)
  • [ ] Automatic security updates enabled
  • [ ] Fail2ban or equivalent installed and configured
  • [ ] Log rotation configured
  • [ ] File integrity monitoring enabled
  • [ ] .env and credential files have 600 permissions
  • [ ] No credentials in git history (verified with git log --all -p | grep -i "api_key\|secret\|password")
  • [ ] SOUL, IDENTITY, USER, AGENTS files marked as sacred (never leave the environment)
  • [ ] Outbound network allowlist configured (only known API endpoints)

macOS firewall script:

#!/bin/bash
# layer-4-firewall.sh
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setglobalstate on
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setblockall on
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setallowsigned on
sudo /usr/libexec/ApplicationFirewall/socketfilterfw --setstealthmode on
echo "Firewall configured. Verify: sudo /usr/libexec/ApplicationFirewall/socketfilterfw --getglobalstate"

Gate: Security audit script returns grade A or B. No grade C or below passes.


Layer 5: Onboarding — Day 1

Goal: Client can interact with their agent and sees value immediately.

Checklist:

  • [ ] 5-file memory system scaffolded (see below)
  • [ ] Starter crons installed and verified
  • [ ] Health check running and reporting
  • [ ] Client walkthrough completed (30-min live session)
  • [ ] Client can ask agent a question and get a response
  • [ ] First real task completed with client watching
  • [ ] Emergency contact and escalation path documented
  • [ ] Client has link to support channel
  • [ ] Week-1 check-in scheduled

The Day-1 demo: Always do one real task live. Not a demo. Not a rehearsed script. Pick something from their actual workflow and do it. This is how you build trust.

Gate: Client has independently asked the agent a question and received a useful answer without help.


Pre-Scaffolded 5-File Memory System

Every deployment starts with the same five files. They are empty templates, not boilerplate — the agent fills them in during operation.

SOUL.md Template

# SOUL

## Identity
You are [CLIENT_NAME]'s AI operations agent, deployed by IAM Solutions.

## Core Values
- Accuracy over speed
- Ask before assuming
- Protect client data absolutely
- Learn and improve continuously

## Boundaries
- Never share client data outside this environment
- Never execute financial transactions without explicit approval
- Never modify production systems without confirmation
- Escalate to human when uncertain

## Communication Style
[To be calibrated during onboarding based on client preference]

IDENTITY.md Template

# IDENTITY

## Deployment
- Deployed: [DATE]
- Hardware: [MACHINE_SPEC]
- Location: [PHYSICAL_OR_CLOUD_LOCATION]
- Managed by: IAM Solutions

## Capabilities
[Populated during Layer 3 based on installed integrations]

## Limitations
[Documented during onboarding based on what's explicitly out of scope]

USER.md Template

# USER

## Primary User
- Name: [CLIENT_NAME]
- Role: [CLIENT_ROLE]
- Communication preference: [EMAIL/SLACK/SMS]

## Access Pattern
[How and when the client typically interacts — populated after first week]

## Domain Knowledge
[What the client knows well vs. where they need more explanation — populated over time]

AGENTS.md Template

# AGENTS

## Active Agents
[List of running agents, their roles, and their schedules — populated during Layer 3]

## Agent Communication
[How agents coordinate, share memory, escalate — configured during deployment]

MEMORY.md Template

# MEMORY

Memory index for [CLIENT_NAME] deployment.
Created: [DATE]

## Memories
[Index populated as agent creates memories during operation]

Starter Cron Templates

Every deployment gets these three crons minimum.

Health Check (Every 4 Hours)

# health-check.cron
# Runs every 4 hours, reports system health
0 */4 * * * /path/to/health-check.sh >> /var/log/openclaw/health.log 2>&1
#!/bin/bash
# health-check.sh
GRADE="A"
ISSUES=""

# Check disk space
DISK_USAGE=$(df -h / | awk 'NR==2 {print $5}' | tr -d '%')
if [ "$DISK_USAGE" -gt 90 ]; then GRADE="F"; ISSUES+="Disk >90%. ";
elif [ "$DISK_USAGE" -gt 80 ]; then GRADE="C"; ISSUES+="Disk >80%. "; fi

# Check memory
# Check API connectivity
# Check cron jobs running
# Check log file sizes

echo "$(date): Health Grade: $GRADE ${ISSUES:-No issues}"

Memory Maintenance (Daily at 2 AM)

# memory-maintenance.cron
0 2 * * * /path/to/memory-maintenance.sh >> /var/log/openclaw/memory.log 2>&1
#!/bin/bash
# memory-maintenance.sh
# Compress old session logs
# Archive memories older than 30 days
# Verify MEMORY.md index matches actual files
# Report memory file count and total size

MEMORY_DIR="$HOME/.openclaw/workspace/memory"
FILE_COUNT=$(find "$MEMORY_DIR" -name "*.md" | wc -l)
TOTAL_SIZE=$(du -sh "$MEMORY_DIR" | awk '{print $1}')
echo "$(date): Memory files: $FILE_COUNT, Total size: $TOTAL_SIZE"

Backup (Daily at 3 AM)

# backup.cron
0 3 * * * /path/to/backup.sh >> /var/log/openclaw/backup.log 2>&1
#!/bin/bash
# backup.sh
BACKUP_DIR="/backups/openclaw/$(date +%Y-%m-%d)"
mkdir -p "$BACKUP_DIR"

# Back up workspace (excluding node_modules, .git objects)
rsync -a --exclude='node_modules' --exclude='.git/objects' \
  "$HOME/.openclaw/workspace/" "$BACKUP_DIR/workspace/"

# Back up cron definitions
crontab -l > "$BACKUP_DIR/crontab.bak"

# Keep last 30 days of backups
find /backups/openclaw -maxdepth 1 -type d -mtime +30 -exec rm -rf {} \;

echo "$(date): Backup complete to $BACKUP_DIR"

Hardware Requirements

Minimum (Single-Agent Deployment)

ComponentSpec
CPUApple M1 or equivalent
RAM16 GB
Storage256 GB SSD
NetworkStable broadband, static IP preferred
UPSRecommended for always-on deployments

Recommended (Multi-Agent Deployment)

ComponentSpec
CPUApple M2 Pro / M4 or equivalent
RAM32 GB
Storage512 GB SSD
NetworkBusiness-grade with failover
UPSRequired

Network Configuration

Outbound allowlist (minimum):
- api.anthropic.com (Anthropic API)
- api.openai.com (if using OpenAI models)
- github.com (code repos)
- api.github.com (GitHub API)
- smtp.gmail.com (email, if applicable)
- quickbooks.api.intuit.com (QBO, if applicable)

Inbound:
- SSH on non-standard port (key-only)
- No other inbound ports required for typical deployments

Post-Deployment Monitoring

Week 1: Daily Check-ins

  • Is the agent responding correctly?
  • Are crons running on schedule?
  • Any errors in logs?
  • Client satisfaction?

Weeks 2-4: Twice-Weekly

  • Memory system growing appropriately?
  • Performance stable?
  • Any new integration needs?

Month 2+: Weekly

  • Health grade trend
  • Backup verification
  • Security update status
  • Client feature requests

Deployment Anti-Patterns

Don't do these:

  • Sharing API keys across clients. Every client pays for their own. No exceptions.
  • Skipping Layer 4. "It's just a test deployment" is how breaches start.
  • Copying another client's SOUL.md. Every deployment gets a fresh identity calibrated to the client.
  • Enabling write access on day 1. Start read-only. Earn write access through demonstrated reliability.
  • Deploying without a health check cron. If you can't monitor it, don't deploy it.
  • Promising specific features before Layer 3. Scope the deployment, then promise.

平台分布

OpenClaw

93.94%
按下载量换算2,031

安全审计

ClawScan

可疑

Static analysis

通过

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。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。

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