Ml Roadmap
v2.0.0A roadmap connecting many of the most important concepts in machine learning, how to learn them and machine learning roadmap, python, data, data-science.
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
Benign
high confidencePurpose & 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.
Assessment
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.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.