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Ml Roadmap
作者
BytesAgain2
· GitHub ↗
· v2.0.0
· MIT-0
159
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install ml-roadmap
功能描述
A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.
安全使用建议
This skill is a local CLI that stores everything as plaintext under ~/.local/share/ml-roadmap (or ML_ROADMAP_DIR). It does not contact remote servers or require credentials, which is appropriate for its purpose. Before installing, consider: (1) any text you save will be stored and exported in cleartext — avoid pasting passwords/API keys or private data into entries; (2) exported JSON/CSV is not escaped/sanitized and may break if entries contain quotes/newlines; (3) if multiple users share the machine, the data directory may be readable by others depending on permissions — consider setting ML_ROADMAP_DIR to a secure location. If those caveats are acceptable, the skill appears coherent and proportionate to its stated purpose.
功能分析
Type: OpenClaw Skill
Name: ml-roadmap
Version: 2.0.0
The skill bundle is a straightforward Bash-based CLI tool for logging and organizing machine learning study plans. It operates entirely within a local directory (~/.local/share/ml-roadmap/), lacks any network capabilities, and does not access sensitive system files or environment variables. The script (scripts/script.sh) follows standard practices and aligns perfectly with the documentation in SKILL.md.
能力评估
Purpose & Capability
The name/description (ML learning roadmap, content toolkit) matches the shipped SKILL.md and the included script. Commands in the script implement the documented features (draft, outline, export, stats, search, etc.). There are no unexpected dependencies or external service integrations.
Instruction Scope
The SKILL.md and script operate on plain-text logs stored in ~/.local/share/ml-roadmap (overridable via ML_ROADMAP_DIR), read and write only those files, and use standard Unix utilities. Note: exports write raw values into JSON/CSV/TXT without escaping or sanitization, and all entries/history are stored in plaintext in the user's home directory — if you paste sensitive info into an entry it will be persisted and exported.
Install Mechanism
This is an instruction-only skill with a bundled shell script; there is no remote download or installer. Nothing is fetched from the network and no archives are extracted during install.
Credentials
No credentials or sensitive environment variables are required. The only optional environment variable is ML_ROADMAP_DIR to override the data directory, which is appropriate for the described local storage behavior.
Persistence & Privilege
The skill does not request always:true and operates only on its own data directory. It does not modify other skills or system-wide agent settings. Data persistence is limited to the user-level directory.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ml-roadmap - 安装完成后，直接呼叫该 Skill 的名称或使用
/ml-roadmap触发 - 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
v2.0.0
publish v2.0.0
元数据
常见问题
Ml Roadmap 是什么？
A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 159 次。
如何安装 Ml Roadmap？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ml-roadmap」即可一键安装，无需额外配置。
Ml Roadmap 是免费的吗？
是的，Ml Roadmap 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Ml Roadmap 支持哪些平台？
Ml Roadmap 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 Ml Roadmap？
由 BytesAgain2（@ckchzh）开发并维护，当前版本 v2.0.0。
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