技能详情（站内镜像，无评论）
作者：vx：17605205782 @52YuanChangXing
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 39 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：52yuanchangxing/home-lab-ops-log
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is internally consistent: it is a local, read-only ops-log generator that only requires python3 and its code and instructions match the described purpose.
目的
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.
说明范围
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 aud…
安装机制
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.
证书
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.
持久
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.
综合结论
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 poi…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Home Lab Ops Log」。简介：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 n…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/52yuanchangxing/home-lab-ops-log/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: home-lab-ops-log
version: 1.0.0
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."
author: OpenClaw Skill Bundle
homepage: https://example.invalid/skills/home-lab-ops-log
tags: [homelab, ops-log, changes, self-hosting]
user-invocable: true
metadata: {"openclaw":{"emoji":"🧰","requires":{"bins":["python3"]},"os":["darwin","linux","win32"]}}
---
# 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
1. 先把用户提供的信息重组成任务书，再输出结构化结果。
2. 缺信息时，优先显式列出“待确认项”，而不是直接编造。
3. 默认先给“可审阅草案”，再给“可执行清单”。
4. 遇到高风险、隐私、权限或合规问题，必须加上边界说明。
5. 如运行环境允许 shell / exec，可使用：
- `python3 "{baseDir}/scripts/run.py" --input <输入文件> --output <输出文件>`
6. 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。