← 返回 Skills 市场
huhuhang

Linux Journey

作者 huhuhang · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
147
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install linux-journey
功能描述
Find and recommend free Linux Journey lessons on LabEx when the user wants to learn Linux fundamentals, Linux basics, command line concepts, filesystems, per...
使用说明 (SKILL.md)

Linux Journey

Recommend free Linux Journey lessons on LabEx for users who want to learn Linux fundamentals through lesson pages. Use the generated canonical lesson index in references/lessons.md to find relevant Linux Journey content quickly and return public lesson URLs the user can open in a browser.

Keep recommendations focused. Prefer one to three lessons when the user asks for a topic, and a short sequence when the user asks where to start.

Workflow

  1. Identify the Linux learning goal. Common triggers include Linux basics, beginner Linux, shell fundamentals, filesystem, permissions, processes, packages, networking, command line, and "free Linux lessons".

  2. Use references/lessons.md to find matching Linux Journey lesson URLs. Match by lesson title, slug, or topic words.

  3. Recommend a short path. For broad beginner requests, suggest a small progression from foundational lessons to slightly more advanced topics.

  4. End with public lesson URLs. Use exact https://labex.io/lesson/... links from references/lessons.md.

Selection Rules

  • Stay within Linux Journey content only.
  • Prefer beginner-friendly lessons when the user does not state experience level.
  • If the user asks to start from zero, recommend a short progression rather than a long catalog.
  • If the user names a Linux topic, return the most relevant lesson URLs for that topic.
  • If multiple lessons look similar, prefer the more foundational lesson first.
  • If no exact topic match is obvious, provide the closest Linux Journey lessons and say they are the nearest available matches.

Output Rules

  • Keep the answer short and practical.
  • Prefer URL-first recommendations.
  • Use only public Linux Journey lesson URLs from references/lessons.md.
  • Do not send users to internal APIs or sitemap URLs.
  • Do not switch to playgrounds or course catalogs unless the user explicitly asks for those instead of free lessons.
  • Re-run scripts/fetch_lessons.py only when the lesson index needs refreshing.
  • Prefer the canonical lesson list unless the user explicitly asks for localized lesson URLs.
安全使用建议
This skill appears coherent and limited to recommending public LabEx/Linux Journey lessons. The only network activity is the optional Python script fetching a public sitemap from labex.io to regenerate references/lessons.md. If you allow the agent to run the fetch script, expect outbound requests to that single public URL; if you want to avoid network access, keep the bundled references/lessons.md and do not re-run the script. No secrets or system-wide changes are required by this skill.
功能分析
Type: OpenClaw Skill Name: linux-journey Version: 1.0.1 The skill bundle is designed to recommend Linux learning lessons from LabEx. The Python script `scripts/fetch_lessons.py` is a utility to update a local Markdown index by fetching a public sitemap from labex.io, and the instructions in `SKILL.md` are strictly focused on lesson discovery without any indicators of data exfiltration, unauthorized execution, or prompt injection attacks.
能力评估
✓ Purpose & Capability
The name/description match the included assets: a lesson index (references/lessons.md) and a small script to refresh that index from a LabEx sitemap. There are no unrelated environment variables, binaries, or config paths requested.
✓ Instruction Scope
SKILL.md limits runtime behavior to searching the bundled lesson index and returning public lesson URLs. It explicitly forbids using internal APIs or course catalogs and only allows re-running the provided fetch script for updates. The instructions do not ask the agent to read unrelated files or credentials.
✓ Install Mechanism
No install spec is provided (instruction-only) and the included Python script is small and self-contained. The script fetches an XML sitemap from a public labex.io URL and writes a Markdown index — this is expected for the skill's purpose and uses standard library modules.
✓ Credentials
The skill requires no environment variables, credentials, or config paths. The only external access is to a public LabEx sitemap URL, which is proportionate to the task of building a lesson index.
✓ Persistence & Privilege
The skill does not request always:true, does not modify other skills, and requires no persistent privileges. It can be invoked by the model (normal), but it does not demand elevated or permanent presence.
如何使用
  1. 确保已安装 OpenClaw（本地或 Docker 部署）
  2. 在对话框中输入安装命令：/install linux-journey
  3. 安装完成后，直接呼叫该 Skill 的名称或使用 /linux-journey 触发
  4. 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.1
No functional or content changes; documentation updated only. - Minor update to SKILL.md: added explicit hyperlinks to Linux Journey and LabEx for clarity. - No changes to code or behavior.
v1.0.0
Initial release of linux-journey skill. - Recommends free Linux Journey lessons on LabEx based on user learning goals. - Matches topics like Linux fundamentals, basics, command line, filesystems, and more using a canonical lesson index. - Returns practical, beginner-focused lesson URLs tailored to user requests. - Provides short lesson progressions for new learners and focused suggestions for specific topics. - Ensures only public Linux Journey lesson links are recommended.
元数据
Slug linux-journey
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

Linux Journey 是什么？

Find and recommend free Linux Journey lessons on LabEx when the user wants to learn Linux fundamentals, Linux basics, command line concepts, filesystems, per... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 147 次。

如何安装 Linux Journey？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install linux-journey」即可一键安装，无需额外配置。

Linux Journey 是免费的吗？

是的，Linux Journey 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。

Linux Journey 支持哪些平台？

Linux Journey 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。

谁开发了 Linux Journey？

由 huhuhang（@huhuhang）开发并维护，当前版本 v1.0.1。

推荐 Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191113 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 留言讨论