配置同步

Dotfiles

by BytesAgain

Backup, sync, and version-track dotfiles across multiple machines. Use when syncing configs, backing up settings, restoring on new machines.

4.5kDevOps未扫描2026年3月23日

安装

claude skill add --url github.com/openclaw/skills/tree/main/skills/bytesagain1/dotfiles

文档

Dotfiles

Sysops toolkit for scanning, monitoring, reporting, and maintaining system configurations. Track changes, create backups, run benchmarks, and keep your environment healthy — all from the command line.

Commands

CommandDescription
dotfiles scan <input>Scan and log a system configuration entry
dotfiles monitor <input>Record a monitoring observation
dotfiles report <input>Log a report entry for review
dotfiles alert <input>Create an alert record
dotfiles top <input>Record top-level metrics or priorities
dotfiles usage <input>Log resource usage data
dotfiles check <input>Run a check and record results
dotfiles fix <input>Log a fix or remediation action
dotfiles cleanup <input>Record a cleanup operation
dotfiles backup <input>Log a backup event
dotfiles restore <input>Log a restore operation
dotfiles log <input>Add a general log entry
dotfiles benchmark <input>Record benchmark results
dotfiles compare <input>Log a comparison between configurations
dotfiles statsShow summary statistics across all logs
dotfiles export <fmt>Export all data (json, csv, or txt)
dotfiles search <term>Search across all log files for a term
dotfiles recentShow the 20 most recent activity entries
dotfiles statusHealth check — version, disk usage, last activity
dotfiles helpShow all available commands
dotfiles versionShow current version

Each command without arguments displays the most recent 20 entries from its log file.

Data Storage

All data is stored in ~/.local/share/dotfiles/:

  • Per-command logsscan.log, monitor.log, report.log, alert.log, top.log, usage.log, check.log, fix.log, cleanup.log, backup.log, restore.log, log.log, benchmark.log, compare.log
  • Activity historyhistory.log (unified timeline of all actions)
  • Exportsexport.json, export.csv, or export.txt (generated on demand)

Data format: each entry is stored as YYYY-MM-DD HH:MM|<value>, pipe-delimited for easy parsing.

Requirements

  • Bash 4+ with set -euo pipefail
  • Standard POSIX utilities (date, wc, du, head, tail, grep, cut, basename)
  • No external dependencies or API keys required

When to Use

  1. System configuration auditing — scan and record the state of config files across machines, track drift over time
  2. Incident response logging — use alert, fix, and log to maintain a structured timeline during outages or issues
  3. Backup and restore tracking — log every backup and restore event to maintain an audit trail for compliance
  4. Performance benchmarking — record benchmark results over time and compare configurations side by side
  5. Daily ops monitoring — capture usage metrics, run health checks, and clean up stale resources on a regular schedule

Examples

bash
# Scan a configuration and log the result
dotfiles scan "nginx.conf updated to v1.25"

# Record a monitoring observation
dotfiles monitor "CPU at 78% during peak hours"

# Create an alert for high memory usage
dotfiles alert "Memory usage exceeded 90% threshold"

# Log a fix action after resolving an issue
dotfiles fix "Rotated /var/log/syslog, freed 2.3GB"

# Export all collected data as JSON for analysis
dotfiles export json

# Search all logs for entries related to nginx
dotfiles search nginx

# View recent activity across all commands
dotfiles recent

# Check overall health and disk usage
dotfiles status

# Show summary statistics
dotfiles stats

Output

All command output goes to stdout. Redirect to a file if needed:

bash
dotfiles stats > report.txt
dotfiles export json

Powered by BytesAgain | bytesagain.com | hello@bytesagain.com

相关 Skills

环境密钥管理

by alirezarezvani

Universal
热门

统一梳理dev/staging/prod的.env和密钥流程,自动生成.env.example、校验必填变量、扫描Git历史泄漏,并联动Vault、AWS SSM、1Password、Doppler完成轮换。

统一管理环境变量、密钥与配置,减少泄露和部署混乱,安全治理与团队协作一起做好,DevOps 场景很省心。

DevOps
未扫描15.8k

可观测性设计

by alirezarezvani

Universal
热门

面向生产系统规划可落地的可观测性体系,串起指标、日志、链路追踪与 SLI/SLO、错误预算、告警和仪表盘设计,适合搭建监控平台与优化故障响应。

把监控、日志、链路追踪串起来,帮助团队从设计阶段构建可观测性,排障更快、系统演进更稳。

DevOps
未扫描15.8k

更新日志

by alirezarezvani

Universal
热门

基于 Conventional Commits 自动解析提交记录、判断语义化版本升级并生成规范 changelog,适合在 CI、发版前检查提交格式并批量输出可审计发布说明。

自动生成和管理更新日志与发布说明,帮团队把版本变更说清楚;聚焦版本化与流程自动化,省时又更规范。

DevOps
未扫描15.8k

相关 MCP 服务

kubefwd

编辑精选

by txn2

热门

kubefwd 是让 AI 帮你批量转发 Kubernetes 服务到本地的开发神器。

微服务开发者最头疼的本地调试问题,它一键搞定——自动分配 IP 避免端口冲突,还能用自然语言查询状态。但依赖 AI 工作流,纯命令行爱好者可能觉得不够直接。

DevOps
4.1k

Cloudflare

编辑精选

by Cloudflare

热门

Cloudflare MCP Server 是让你用自然语言管理 Workers、KV 和 R2 等云资源的工具。

这个工具解决了开发者频繁切换控制台和文档的痛点,特别适合那些在 Cloudflare 上部署无服务器应用、需要快速调试或管理配置的团队。不过,由于它依赖多个子服务器,初次设置可能有点繁琐,建议先从 Workers Bindings 这类核心功能入手。

DevOps
3.8k

Terraform

编辑精选

by hashicorp

热门

Terraform MCP Server 是让 AI 助手直接操作 Terraform Registry 和 HCP Terraform 的桥梁。

如果你经常在 Terraform 里翻文档找模块配置,这个服务器能省不少时间——直接问 Claude 就能生成准确的代码片段。最适合管理多云基础设施的团队,但注意它目前只适合本地使用,别在生产环境里暴露 HTTP 端点。

DevOps
1.4k

评论