Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Crawler Summary
通过 SSH/SCP 连接远程 Linux 服务器执行命令或传输文件。触发词:SSH、远程服务器、连接服务器、执行命令、重启服务、上传文件、下载文件、服务器管理、远程操作。当用户提到服务器代码(如 us1、hk2)或远程操作时自动启用。 --- name: ssh-remote description: 通过 SSH/SCP 连接远程 Linux 服务器执行命令或传输文件。触发词:SSH、远程服务器、连接服务器、执行命令、重启服务、上传文件、下载文件、服务器管理、远程操作。当用户提到服务器代码(如 us1、hk2)或远程操作时自动启用。 --- SSH 远程服务器管理 通过 Python + paramiko 连接远程 Linux 服务器,执行命令或传输文件。跨平台支持 Windows 10+ 和 Linux。 前置条件 1. 安装 Python 依赖(首次使用时执行): 2. 确保 .env 文件已配置(位于 ~/.cursor/skills/ssh-remote/.env 或项目根目录): 参考模板:$1 服务器连接规则 - 主机名:{server_code}.{SSH_DOMAIN_SUFFIX}(如 us1.example.com) - 端口:SSH_P Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Freshness
Last checked 4/15/2026
Best For
ssh-remote is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
通过 SSH/SCP 连接远程 Linux 服务器执行命令或传输文件。触发词:SSH、远程服务器、连接服务器、执行命令、重启服务、上传文件、下载文件、服务器管理、远程操作。当用户提到服务器代码(如 us1、hk2)或远程操作时自动启用。 --- name: ssh-remote description: 通过 SSH/SCP 连接远程 Linux 服务器执行命令或传输文件。触发词:SSH、远程服务器、连接服务器、执行命令、重启服务、上传文件、下载文件、服务器管理、远程操作。当用户提到服务器代码(如 us1、hk2)或远程操作时自动启用。 --- SSH 远程服务器管理 通过 Python + paramiko 连接远程 Linux 服务器,执行命令或传输文件。跨平台支持 Windows 10+ 和 Linux。 前置条件 1. 安装 Python 依赖(首次使用时执行): 2. 确保 .env 文件已配置(位于 ~/.cursor/skills/ssh-remote/.env 或项目根目录): 参考模板:$1 服务器连接规则 - 主机名:{server_code}.{SSH_DOMAIN_SUFFIX}(如 us1.example.com) - 端口:SSH_P
Public facts
5
Change events
1
Artifacts
0
Freshness
Apr 15, 2026
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Apr 15, 2026
Vendor
Lavarong
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. 1 GitHub stars reported by the source. Last updated 4/15/2026.
Setup snapshot
git clone https://github.com/LAVARONG/agent-skill-ssh-remote.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Lavarong
Protocol compatibility
OpenClaw
Adoption signal
1 GitHub stars
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
typescript
Parameters
bash
pip install paramiko python-dotenv
text
SSH_PASSWORD_PREFIX=密码前缀 SSH_PORT=22 SSH_USER=root SSH_DOMAIN_SUFFIX=example.com
bash
python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py <server_code> "<command>" --json
bash
# 单条命令 python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py us1 "systemctl restart nginx" --json # 多条命令(用分号连接) python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py us1 "systemctl restart nginx; systemctl status nginx" --json # 带超时参数 python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py us1 "journalctl -u nginx --no-pager -n 50" --json --timeout 60
json
{
"server": "us1",
"hostname": "us1.example.com",
"command": "systemctl restart nginx",
"stdout": "",
"stderr": "",
"exit_code": 0,
"success": true
}bash
python ~/.cursor/skills/ssh-remote/scripts/scp_transfer.py upload <server_code> <local_path> <remote_path> --json
Full documentation captured from public sources, including the complete README when available.
Docs source
GITHUB OPENCLEW
Editorial quality
ready
通过 SSH/SCP 连接远程 Linux 服务器执行命令或传输文件。触发词:SSH、远程服务器、连接服务器、执行命令、重启服务、上传文件、下载文件、服务器管理、远程操作。当用户提到服务器代码(如 us1、hk2)或远程操作时自动启用。 --- name: ssh-remote description: 通过 SSH/SCP 连接远程 Linux 服务器执行命令或传输文件。触发词:SSH、远程服务器、连接服务器、执行命令、重启服务、上传文件、下载文件、服务器管理、远程操作。当用户提到服务器代码(如 us1、hk2)或远程操作时自动启用。 --- SSH 远程服务器管理 通过 Python + paramiko 连接远程 Linux 服务器,执行命令或传输文件。跨平台支持 Windows 10+ 和 Linux。 前置条件 1. 安装 Python 依赖(首次使用时执行): 2. 确保 .env 文件已配置(位于 ~/.cursor/skills/ssh-remote/.env 或项目根目录): 参考模板:$1 服务器连接规则 - 主机名:{server_code}.{SSH_DOMAIN_SUFFIX}(如 us1.example.com) - 端口:SSH_P
通过 Python + paramiko 连接远程 Linux 服务器,执行命令或传输文件。跨平台支持 Windows 10+ 和 Linux。
pip install paramiko python-dotenv
.env 文件已配置(位于 ~/.cursor/skills/ssh-remote/.env 或项目根目录):SSH_PASSWORD_PREFIX=密码前缀
SSH_PORT=22
SSH_USER=root
SSH_DOMAIN_SUFFIX=example.com
参考模板:servers.example.env
{server_code}.{SSH_DOMAIN_SUFFIX}(如 us1.example.com)SSH_PORT 环境变量(默认 22)SSH_USER 环境变量(默认 root)SSH_PASSWORD_PREFIX + 服务器代码大写(如前缀 abc + 代码 us1 = abcUS1)当用户请求远程服务器操作时,按以下步骤执行:
从用户指令中识别:
python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py <server_code> "<command>" --json
示例:
# 单条命令
python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py us1 "systemctl restart nginx" --json
# 多条命令(用分号连接)
python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py us1 "systemctl restart nginx; systemctl status nginx" --json
# 带超时参数
python ~/.cursor/skills/ssh-remote/scripts/ssh_exec.py us1 "journalctl -u nginx --no-pager -n 50" --json --timeout 60
始终使用 --json 参数,以便解析结构化输出:
{
"server": "us1",
"hostname": "us1.example.com",
"command": "systemctl restart nginx",
"stdout": "",
"stderr": "",
"exit_code": 0,
"success": true
}
python ~/.cursor/skills/ssh-remote/scripts/scp_transfer.py upload <server_code> <local_path> <remote_path> --json
python ~/.cursor/skills/ssh-remote/scripts/scp_transfer.py download <server_code> <remote_path> <local_path> --json
python ~/.cursor/skills/ssh-remote/scripts/scp_transfer.py list <server_code> <remote_path> --json
读取命令输出后,根据结果决定下一步:
所有操作完成后,输出总结报告:
## 执行报告
**目标服务器**:us1 (us1.example.com)
**执行时间**:2026-02-09 16:00
### 执行过程
1. 连接 us1.example.com:22 ... 成功
2. 执行 `systemctl restart nginx` ... 成功 (exit_code: 0)
3. 执行 `systemctl status nginx` ... 成功 (exit_code: 0)
- 服务状态: active (running)
### 结果总结
nginx 服务已成功重启并正常运行。
| 用户指令 | 解析为 |
|---------|--------|
| "重启 us1 的 nginx 服务" | ssh_exec.py us1 "systemctl restart nginx" |
| "查看 hk2 的磁盘空间" | ssh_exec.py hk2 "df -h" |
| "查看 jp1 的 nginx 日志" | ssh_exec.py jp1 "tail -100 /var/log/nginx/error.log" |
| "上传配置到 us1" | scp_transfer.py upload us1 local.conf /etc/app/config.conf |
| "下载 us1 的日志" | scp_transfer.py download us1 /var/log/app.log ./app.log |
在执行远程命令前,必须对命令进行安全级别评估,按级别决定是否需要用户确认。
以下命令极度危险,禁止执行,直接告知用户风险并拒绝:
| 命令模式 | 说明 |
|---------|------|
| rm -rf / | 删除根目录全部内容 |
| rm -rf /* | 同上 |
| mkfs.* | 格式化磁盘 |
| dd if=/dev/zero of=/dev/sd* | 擦除磁盘数据 |
| :(){ :\|: & };: | Fork 炸弹 |
| > /dev/sda | 直接写入磁盘设备 |
| chmod -R 777 / | 全盘权限更改 |
以下命令有重大影响,执行前必须明确告知用户风险并等待确认:
| 命令模式 | 风险说明 |
|---------|---------|
| rm -rf <路径> | 递归删除目录 - 需确认目标路径 |
| rm -f <文件> | 强制删除文件 - 需确认目标文件 |
| reboot / shutdown / poweroff | 重启/关机服务器 - 会导致服务中断 |
| systemctl stop <服务> | 停止服务 - 可能影响业务 |
| systemctl disable <服务> | 禁用服务 - 重启后不会自动启动 |
| kill -9 / killall / pkill | 强制终止进程 |
| iptables / ufw 规则修改 | 防火墙变更 - 可能导致无法连接 |
| passwd / usermod / userdel | 用户/密码管理 |
| chmod / chown(系统关键路径) | 权限变更 |
| mv / cp 覆盖系统文件 | 可能损坏系统配置 |
| apt remove / yum remove | 卸载软件包 |
| crontab -r | 清空定时任务 |
| 涉及数据库 DROP / DELETE / TRUNCATE | 数据删除操作 |
确认模板:
⚠️ 危险操作确认
即将在 {server_code} ({hostname}) 上执行:
`{command}`
风险说明:{风险描述}
是否确认执行?(Y/N)
以下命令是只读或低风险操作,可以直接执行:
ls、cat、head、tail、less、df、du、free、top、ps、netstat、sssystemctl status、journalctl、uptime、whoami、hostnamesystemctl restart <服务>(重启通常是安全的)tail -f /var/log/*nginx -t、php -v、node -vcmd1; cmd2,每个命令单独评估,取最高级别rm file.txt vs rm -rf /var)| 错误 | 可能原因 | 解决方案 |
|------|---------|---------|
| 认证失败 | 密码配置错误 | 检查 .env 中 SSH_PASSWORD_PREFIX |
| 连接超时 | 网络不通或端口错误 | 检查 SSH_PORT 和网络连通性 |
| 模块未安装 | 缺少依赖 | 执行 pip install paramiko python-dotenv |
| .env 未找到 | 配置文件缺失 | 复制 servers.example.env 为 .env 并填写 |
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/snapshot"
curl -s "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/contract"
curl -s "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/trust"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
Trust signals
Handshake
UNKNOWN
Confidence
unknown
Attempts 30d
unknown
Fallback rate
unknown
Runtime metrics
Observed P50
unknown
Observed P95
unknown
Rate limit
unknown
Estimated cost
unknown
Do not use if
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
Rank
70
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Traction
No public download signal
Freshness
Updated 2d ago
Rank
70
AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
Traction
No public download signal
Freshness
Updated 6d ago
Rank
70
The Frontend for Agents & Generative UI. React + Angular
Traction
No public download signal
Freshness
Updated 23d ago
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T04:20:22.054Z"
}
},
"retryPolicy": {
"maxAttempts": 3,
"backoffMs": [
500,
1500,
3500
],
"retryableConditions": [
"HTTP_429",
"HTTP_503",
"NETWORK_TIMEOUT"
]
}
}Trust JSON
{
"status": "unavailable",
"handshakeStatus": "UNKNOWN",
"verificationFreshnessHours": null,
"reputationScore": null,
"p95LatencyMs": null,
"successRate30d": null,
"fallbackRate": null,
"attempts30d": null,
"trustUpdatedAt": null,
"trustConfidence": "unknown",
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Capability Matrix
{
"rows": [
{
"key": "OPENCLEW",
"type": "protocol",
"support": "unknown",
"confidenceSource": "profile",
"notes": "Listed on profile"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "docs_crawl",
"category": "integration",
"label": "Crawlable docs",
"value": "6 indexed pages on the official domain",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
},
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Lavarong",
"href": "https://github.com/LAVARONG/agent-skill-ssh-remote",
"sourceUrl": "https://github.com/LAVARONG/agent-skill-ssh-remote",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T02:14:17.518Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T02:14:17.518Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1 GitHub stars",
"href": "https://github.com/LAVARONG/agent-skill-ssh-remote",
"sourceUrl": "https://github.com/LAVARONG/agent-skill-ssh-remote",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T02:14:17.518Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/lavarong-agent-skill-ssh-remote/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
]Change Events JSON
[
{
"eventType": "docs_update",
"title": "Docs refreshed: Sign in to GitHub · GitHub",
"description": "Fresh crawlable documentation was indexed for the official domain.",
"href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
"sourceType": "search_document",
"confidence": "medium",
"observedAt": "2026-04-15T05:03:46.393Z",
"isPublic": true
}
]Sponsored
Ads related to ssh-remote and adjacent AI workflows.