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Home Lab Ops Log
by
vx：17605205782
· GitHub ↗
· v1.0.0
· MIT-0
170
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Install in OpenClaw
/install home-lab-ops-log
Description
为个人服务器或家庭实验室记录变更前后、目的、回滚和观察结果。；use for homelab, ops-log, changes workflows；do not use for 执行真实运维命令, 公开敏感主机信息.
README (SKILL.md)
家庭实验室运维日志官
你是什么
你是“家庭实验室运维日志官”这个独立 Skill，负责：为个人服务器或家庭实验室记录变更前后、目的、回滚和观察结果。
Routing
适合使用的情况
- 帮我把这次 homelab 变更记成运维日志
- 补齐回滚方案
- 输入通常包含：变更内容、机器、结果、风险
- 优先产出：变更摘要、变更前状态、后续待办
不适合使用的情况
- 不要执行真实运维命令
- 不要公开敏感主机信息
- 如果用户想直接执行外部系统写入、发送、删除、发布、变更配置，先明确边界，再只给审阅版内容或 dry-run 方案。
工作规则
- 先把用户提供的信息重组成任务书，再输出结构化结果。
- 缺信息时，优先显式列出“待确认项”，而不是直接编造。
- 默认先给“可审阅草案”，再给“可执行清单”。
- 遇到高风险、隐私、权限或合规问题，必须加上边界说明。
- 如运行环境允许 shell / exec，可使用：
python3 "{baseDir}/scripts/run.py" --input \x3C输入文件> --output \x3C输出文件>
- 如当前环境不能执行脚本，仍要基于
{baseDir}/resources/template.md与{baseDir}/resources/spec.json的结构直接产出文本。
标准输出结构
请尽量按以下结构组织结果：
- 变更摘要
- 变更前状态
- 执行动作
- 观察结果
- 回滚方案
- 后续待办
本地资源
- 规范文件：
{baseDir}/resources/spec.json - 输出模板：
{baseDir}/resources/template.md - 示例输入输出：
{baseDir}/examples/ - 冒烟测试：
{baseDir}/tests/smoke-test.md
安全边界
- 用于日志整理，不直接运维主机。
- 默认只读、可审计、可回滚。
- 不执行高风险命令，不隐藏依赖，不伪造事实或结果。
Usage Guidance
This skill appears to do what it claims: generate structured ops logs from local inputs using a bundled Python script. Before installing or invoking it:
- Inspect scripts/run.py locally (it is included) to confirm behavior — it uses only Python stdlib and contains no network calls.
- When running, avoid giving the skill paths pointing to sensitive files (SSH keys, /etc, home directories) because the script will read and summarize files you point it at.
- Prefer --dry-run and run the smoke test locally first to verify outputs.
- If you plan to let an autonomous agent invoke skills, be aware that the agent could supply file paths as inputs; if that is a concern, restrict autonomous invocation or sandbox the agent.
Overall this bundle is coherent and proportionate for a local ops-log/reporting helper.
Capability Analysis
Type: OpenClaw Skill
Name: home-lab-ops-log
Version: 1.0.0
The home-lab-ops-log skill bundle is a documentation and auditing tool designed to help users log changes in their home lab environments. The core logic in scripts/run.py is focused on generating structured Markdown reports from input text, CSVs, or directory listings, and it even includes a defensive 'pattern_audit' mode that scans for (but does not execute) risky strings like hardcoded secrets or dangerous shell commands. The instructions in SKILL.md and README.md explicitly prohibit the execution of real system commands or the disclosure of sensitive information, and the script relies solely on Python standard libraries without any network or sub-process execution capabilities.
Capability Assessment
Purpose & Capability
Name/description describe a homelab ops-log/changes workflow and the bundle only requires python3 and local templates/specs. There are no unrelated credentials, binaries, or network endpoints requested, so the requested capabilities match the stated purpose.
Instruction Scope
SKILL.md confines the agent to producing reviewable drafts and explicitly forbids executing real ops commands or exposing sensitive host info. It suggests invoking the included script (python3 scripts/run.py) if shell/exec is available, or otherwise producing text from resources/template.md and resources/spec.json. The included script reads files and directories provided by the user and can scan file contents — this is expected for a local audit/reporting tool, but means the skill will process any path the user supplies (so avoid passing sensitive system paths).
Install Mechanism
No install spec is present (instruction-only skill with an included script). That minimizes install risk; the Python script is included in the bundle and no remote downloads or package installs are performed.
Credentials
No environment variables, secrets, or external credentials are requested. The skill operates on local input files or directories supplied at runtime, which is proportional to its purpose.
Persistence & Privilege
always is false and the skill does not request persistent or elevated platform privileges. It does not modify other skills or system-level settings. Model invocation is allowed (normal default) but not elevated.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install home-lab-ops-log - After installation, invoke the skill by name or use
/home-lab-ops-log - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of home-lab-ops-log.
- Provides structured logging for homelab or personal server changes, including change intent, before/after state, rollback plan, and observations.
- Designed for recording and reviewing ops-log workflows; outputs audit-friendly, reviewable drafts and follow-up tasks.
- Explicitly avoids executing real operations or exposing sensitive host data.
- Follows a standard output structure: summary, prior state, actions, results, rollback, and todos.
Metadata
Frequently Asked Questions
What is Home Lab Ops Log?
为个人服务器或家庭实验室记录变更前后、目的、回滚和观察结果。；use for homelab, ops-log, changes workflows；do not use for 执行真实运维命令, 公开敏感主机信息. It is an AI Agent Skill for Claude Code / OpenClaw, with 170 downloads so far.
How do I install Home Lab Ops Log?
Run "/install home-lab-ops-log" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Home Lab Ops Log free?
Yes, Home Lab Ops Log is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Home Lab Ops Log support?
Home Lab Ops Log is cross-platform and runs anywhere OpenClaw / Claude Code is available (darwin, linux, win32).
Who created Home Lab Ops Log?
It is built and maintained by vx：17605205782 (@52yuanchangxing); the current version is v1.0.0.
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