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Agent Skill · 研究检索

system-restoration(系统恢复)

system-restoration 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

system-restoration 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 32,923。

总安装 2,446周安装 104GitHub Stars 公开资料未说明下载 857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:system-restoration(系统恢复)
来源仓库:https://github.com/stephen550/system-restoration
安装命令:
openclaw skills install system-restoration
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 system-restoration

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。

system-restoration 用于恢复 HPE 运营智能系统的正常运行,应对停机、警报缺失或数据源中断等问题。适用于系统异常诊断与快速修复,尤其针对 LaunchD 服务等企业级后台组件。通过预设恢复流程重新初始化关键服务,缩短业务中断时间至最小范围。

使用前应熟悉 HPE 环境架构,避免盲目操作引发连锁故障;建议先备份重要数据。需确认当前环境支持相关恢复协议,否则可能无法成功重建服务连接。

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 system-restoration;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

    它需要操作浏览器,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

system-restoration 怎么安装?

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

system-restoration 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。

system-restoration 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

system-restoration 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。

system-restoration 用的人多吗?

公开数据是累计安装 2,446 次,近一周安装 104 次,下载 857 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。

system-restoration 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

  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 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
system-restoration

系统恢复 · 本页

2,446—操作浏览器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
system-restoration
description
Restore Advantage HPE operational intelligence systems. Use when systems are down, missing alerts, broken scheduling, or data source issues. Covers LaunchD services, cron jobs, API fixes, and service restoration for zero revenue alerts, morning pulse, live nudges, and material truth reports.

System Restoration

Comprehensive guide for restoring Advantage HPE's operational intelligence systems when they fail or go down.

Investigation Workflow

1. System Status Assessment

Before fixing anything, map out what's broken:

Core Intelligence Systems:

  1. Zero Revenue Alerts → #margin-alerts (Every 30 min)
  2. Morning Pulse → #manager-nudges (Daily 6:35 AM)
  3. Live Nudges → #manager-nudges (Every 15 min)
  4. Material Truth Report → #material-intel-systems (Daily 7:00 AM)
  5. Friend-Zone Reformatter → #live-ops (ServiceTitan email alerts)

Investigation Commands:

# Check LaunchD services
launchctl list | grep ranger

# Check cron jobs  
cron list

# Check running processes
ps aux | grep -E "(keel|pulse|margin|nudge)" | grep -v grep

# Find system code
find /Users/stephendobbins/.config/ranger -name "*.py" | grep -E "(pulse|margin|nudge)"
find /Users/stephendobbins/.openclaw/workspace -name "*.py" | grep -E "(zero|revenue)"

2. Locate Code & Determine Failure Cause

Common Locations:

  • /Users/stephendobbins/.config/ranger/scripts/ - Main operational scripts
  • /Users/stephendobbins/.config/ranger/materials/ - Material intelligence
  • /Users/stephendobbins/.openclaw/workspace/ - Recent scripts & fixes
  • /Users/stephendobbins/Library/LaunchAgents/ - LaunchD service definitions

Common Failure Patterns:

  • LaunchD services unloaded - Emergency shutdown or system restart
  • Data source broken - ServiceTitan API returning wrong data
  • Scheduling missing - Functions exist but no cron/LaunchD trigger
  • Script errors - Import failures, credential issues

System-Specific Restoration

Zero Revenue Alerts

Script: /Users/stephendobbins/.config/ranger/scripts/margin_alerts.py Channel: #margin-alerts (C0A5L7MG60P) Schedule: Every 30 minutes

Restoration Steps:

  1. Verify script exists and posts to Slack
  2. Load LaunchD service: launchctl load /Users/stephendobbins/Library/LaunchAgents/com.ranger.margin-alerts.plist
  3. Test manually: cd /Users/stephendobbins/.config/ranger/scripts && python3 margin_alerts.py
  4. Check logs: tail /tmp/margin_alerts.log

Morning Pulse

Script: /Users/stephendobbins/.config/ranger/scripts/pulse_os_full.py Channel: #manager-nudges (C0A5V9JL2KV) Schedule: Daily 6:35 AM CT

Restoration Steps:

  1. If broken API data: Check for .bak backup with working data sources
  2. Restore backup: cp pulse_os_full.py.bak pulse_os_full.py
  3. Fix data sources: Replace API calls with browser automation (see references/browser-data-sources.md)
  4. Load LaunchD service: launchctl load /Users/stephendobbins/Library/LaunchAgents/com.ranger.morning-pulse.plist
  5. Test: python3 pulse_os_full.py pulse

Live Nudges

Script: /Users/stephendobbins/.config/ranger/scripts/pulse_os_full.py nudges Channel: #manager-nudges Schedule: Every 15 minutes

Function: run_nudges() on line 548-617 Features: 🚗 dispatched / 📍 arrived / ✅ completed alerts

Restoration Steps:

  1. Verify function exists: grep -n "def run_nudges" pulse_os_full.py
  2. Create LaunchD service (see scripts/create-live-nudges-service.py)
  3. Load service: launchctl load /Users/stephendobbins/Library/LaunchAgents/com.ranger.live-nudges.plist
  4. Test: python3 pulse_os_full.py nudges

Material Truth Report

Script: /Users/stephendobbins/.config/ranger/materials/reconciliation_report.py Channel: #material-intel-systems (C0A5L7RB5EK) Schedule: Daily 7:00 AM CT

Restoration Steps:

  1. Test script: cd /Users/stephendobbins/.config/ranger/materials && python3 reconciliation_report.py --no-email
  2. Create cron job with 7:00 AM schedule
  3. Verify channel posting

Data Source Repair

ServiceTitan API vs UI Data

Problem: ServiceTitan API often returns test/historical data instead of real operational data.

Solution: Replace API calls with browser automation:

  1. Create browser data source module (see scripts/browser_data_sources.py)
  2. Import in main script: Replace parse functions with browser equivalents
  3. Preserve output format - Same sections, different data source

Browser Data Functions:

  • get_browser_low_margin_jobs()
  • get_browser_stale_estimates()
  • get_browser_revenue_leaks()
  • get_browser_driver_incidents()

KEEL System Issues

Script: /Users/stephendobbins/.config/ranger/keel/keel_slack_bot.py

Safe restart for field tech DM only:

  1. Disable operational intelligence: Set OPERATIONAL_INTELLIGENCE_ENABLED = False
  2. Restart process: cd /Users/stephendobbins/.config/ranger/keel && python3 keel_slack_bot.py &
  3. Verify running: ps aux | grep keel_slack_bot

Service Management Commands

LaunchD Services

# List services
launchctl list | grep ranger

# Load service  
launchctl load /Users/stephendobbins/Library/LaunchAgents/com.ranger.<service>.plist

# Unload service
launchctl unload /Users/stephendobbins/Library/LaunchAgents/com.ranger.<service>.plist

# Start service immediately
launchctl start com.ranger.<service>

# Check service logs
tail /tmp/<service>.log
tail /tmp/<service>.err

Cron Jobs (OpenClaw)

# List jobs
cron list

# Add job  
cron add <job-definition>

# Remove job
cron remove <job-id>

Emergency Shutdown Recovery

When systems are emergency-stopped due to bad data:

  1. Investigate root cause - Usually ServiceTitan API data issues
  2. Fix data sources - Switch to browser automation or correct API endpoints
  3. Test manually - Verify data accuracy before re-enabling
  4. Restore services - Load LaunchD services and cron jobs
  5. Monitor initially - Check logs and channel posts for accuracy

Resources

scripts/

  • create-live-nudges-service.py - Generate LaunchD plist for live nudges
  • browser_data_sources.py - Browser automation replacement for broken APIs

references/

  • launchd-service-templates.md - LaunchD plist templates for different schedules
  • channel-ids.md - Slack channel IDs for all operational intelligence channels
  • troubleshooting-checklist.md - Step-by-step debugging guide

平台分布

OpenClaw

78.42%
按下载量换算672

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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