# Send Tencent Cloud Lighthouse to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "tencentcloud-lighthouse-skill", "name": "Tencent Cloud Lighthouse", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/lhanyun/tencentcloud-lighthouse-skill", "canonicalUrl": "https://clawhub.ai/lhanyun/tencentcloud-lighthouse-skill", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/tencentcloud-lighthouse-skill", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=tencentcloud-lighthouse-skill", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "SKILL.md", "scripts/setup.sh" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "tencentcloud-lighthouse-skill", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-09T21:00:15.875Z", "expiresAt": "2026-05-16T21:00:15.875Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=tencentcloud-lighthouse-skill", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=tencentcloud-lighthouse-skill", "contentDisposition": "attachment; filename=\"tencentcloud-lighthouse-skill-1.0.2.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "tencentcloud-lighthouse-skill" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/tencentcloud-lighthouse-skill" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/tencentcloud-lighthouse-skill", "downloadUrl": "https://openagent3.xyz/downloads/tencentcloud-lighthouse-skill", "agentUrl": "https://openagent3.xyz/skills/tencentcloud-lighthouse-skill/agent", "manifestUrl": "https://openagent3.xyz/skills/tencentcloud-lighthouse-skill/agent.json", "briefUrl": "https://openagent3.xyz/skills/tencentcloud-lighthouse-skill/agent.md" } } ``` ## Documentation ### Lighthouse 云服务器运维 通过 mcporter + lighthouse-mcp-server 管理腾讯云轻量应用服务器。 ### 首次使用 — 自动设置 当用户首次要求管理云服务器时，按以下流程操作： ### 步骤 1：检查当前状态 {baseDir}/scripts/setup.sh --check-only 如果输出显示一切 OK（mcporter 已安装、config 已配置、lighthouse 已就绪），跳到「调用格式」。 ### 步骤 2：如果未配置，引导用户提供密钥 告诉用户： 我需要你的腾讯云 API 密钥来连接 Lighthouse 服务器。请提供： SecretId — 腾讯云 API 密钥 ID SecretKey — 腾讯云 API 密钥 Key 你可以在 腾讯云控制台 > 访问管理 > API密钥管理 获取。 ### 步骤 3：用户提供密钥后，运行自动设置 {baseDir}/scripts/setup.sh --secret-id "<用户提供的SecretId>" --secret-key "<用户提供的SecretKey>" 脚本会自动： 检查并安装 mcporter（如未安装） 创建 ~/.mcporter/mcporter.json 配置文件 写入 lighthouse MCP 服务器配置和密钥 验证连接 设置完成后即可开始使用。 ### 调用格式 所有 mcporter 命令必须使用以下格式： mcporter call lighthouse. --config ~/.mcporter/mcporter.json --output json [--args ''] 列出可用工具： mcporter list lighthouse --config ~/.mcporter/mcporter.json --schema ### 工具总览 本 MCP Server 包含以下工具类别： 类别说明地域查询获取可用地域列表（唯一不需要 Region 参数的操作）实例管理查询、启动实例，查看流量包/套餐/配额等（需要 Region）监控与告警获取多指标监控数据、设置告警策略、服务器自检（需要 Region）防火墙规则增删改查、防火墙模板管理（需要 Region）远程命令(TAT)在实例上执行命令、查询任务状态（需要 Region） ### 常用操作 以下所有示例省略了公共前缀 mcporter call lighthouse. 和 --config ~/.mcporter/mcporter.json --output json。 完整命令格式：mcporter call lighthouse. --config ~/.mcporter/mcporter.json --output json --args '' ### 获取地域列表（不需要 Region 参数） # 查询所有可用地域 — 唯一不需要 Region 参数的操作 # 首次使用时应先调用此接口获取可用 Region 列表 mcporter call lighthouse.describe_regions --config ~/.mcporter/mcporter.json --output json ### 实例管理 # 查询实例列表（Region 必填，可选参数: InstanceIds, Offset, Limit） mcporter call lighthouse.describe_instances --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","Limit":20,"Offset":0}' # 查询指定实例 mcporter call lighthouse.describe_instances --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceIds":["lhins-xxxxxxxx"]}' # 启动实例 mcporter call lighthouse.start_instances --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceIds":["lhins-xxxxxxxx"]}' # 获取实例登录终端地址 mcporter call lighthouse.describe_instance_login_url --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx"}' # 查询所有应用镜像 mcporter call lighthouse.describe_all_applications --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou"}' # BlueprintType 可选: APP_OS | PURE_OS | DOCKER | ALL（默认ALL） ### 监控与告警 # 获取监控数据（支持多指标同时查询，默认最近6小时） mcporter call lighthouse.get_monitor_data --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx","Indicators":["CPU利用率","内存利用率"]}' # 获取监控数据（指定时间范围） mcporter call lighthouse.get_monitor_data --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx","Indicators":["公网出带宽","公网入带宽"],"StartTime":"2026-02-09 00:00:00","EndTime":"2026-02-10 00:00:00"}' # 支持的监控指标（中文名称）: # CPU利用率 | 内存利用率 | 公网出带宽 | 公网入带宽 # 系统盘读IO | 系统盘写IO | 公网流量包 # 设置告警策略 # Alarms 中的 Frequency/Points/Size 均为字符串类型 mcporter call lighthouse.set_alerting_strategy --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx","Indicator":"CPU利用率","Alarms":[{"Frequency":"300","Threshold":"80%","Level":"严重","Points":"3","Size":"60"}],"PolicyName":"CPU高负载告警"}' # Frequency(秒): "300"|"600"|"900"|"1800"|"3600"|"7200"|"10800"|"21600"|"43200"|"86400" # Level: "提示"|"严重"|"紧急" Points: "1"-"5" Size: "60"|"300" # 服务器自检（检测网络、防火墙、存储、状态、性能） mcporter call lighthouse.self_test --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx"}' ### 防火墙 # 查询防火墙规则 mcporter call lighthouse.describe_firewall_rules --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx"}' # 添加防火墙规则 mcporter call lighthouse.create_firewall_rules --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx","FirewallRules":[{"Protocol":"TCP","Port":"8080","CidrBlock":"0.0.0.0/0","Action":"ACCEPT","FirewallRuleDescription":"开放8080端口"}]}' # 删除防火墙规则 mcporter call lighthouse.delete_firewall_rules --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx","FirewallRules":[{"Protocol":"TCP","Port":"8080"}]}' ### 远程命令执行 (TAT) # 在 Linux 实例上执行命令 mcporter call lighthouse.execute_command --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx","Command":"uptime && df -h && free -m","SystemType":"Linux"}' # 在 Windows 实例上执行命令 mcporter call lighthouse.execute_command --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InstanceId":"lhins-xxxxxxxx","Command":"Get-Process | Sort-Object CPU -Descending | Select-Object -First 10","SystemType":"Windows"}' # 查询命令执行任务详情（自动轮询直到完成） mcporter call lighthouse.describe_command_tasks --config ~/.mcporter/mcporter.json --output json --args '{"Region":"ap-guangzhou","InvocationTaskId":"invt-xxxxxxxx"}' # 注意: Command 最大 2048 字符，超长命令建议登录实例手动执行 ### 使用规范 每次调用必须带 --config ~/.mcporter/mcporter.json 始终加 --output json 获取结构化输出 Region 参数规则: 除 describe_regions 外，所有操作都必须传入 Region 参数。如果用户未指定 Region，应先调用 describe_regions 获取可用地域列表，再让用户选择或根据上下文确定 首次使用流程: 先调用 describe_regions 获取地域列表 → 再调用 describe_instances 获取实例列表 → 记住 InstanceId 和 Region 供后续使用 用实际的 InstanceId 替换示例中的 lhins-xxxxxxxx（先通过 describe_instances 获取） 监控指标用中文: get_monitor_data 的 Indicators 参数使用中文名称（CPU利用率、内存利用率等） 命令长度限制: execute_command 的 Command 参数最大 2048 字符，超长建议登录实例执行 危险操作前先确认: 防火墙修改、命令执行、实例关机/重启等，先向用户确认 错误处理: 如果调用失败，先用 {baseDir}/scripts/setup.sh --check-only 诊断问题，或用 self_test 检测实例状态 ## Trust - Source: tencent - Verification: Indexed source record - Publisher: lhanyun - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-09T21:00:15.875Z - Expires at: 2026-05-16T21:00:15.875Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/tencentcloud-lighthouse-skill) - [Send to Agent page](https://openagent3.xyz/skills/tencentcloud-lighthouse-skill/agent) - [JSON manifest](https://openagent3.xyz/skills/tencentcloud-lighthouse-skill/agent.json) - [Markdown brief](https://openagent3.xyz/skills/tencentcloud-lighthouse-skill/agent.md) - [Download page](https://openagent3.xyz/downloads/tencentcloud-lighthouse-skill)