Machine Learning Roadmap
v1.0.0Follow a structured ML roadmap connecting concepts, tools, and learning resources. Use when planning study paths, discovering resources, mapping skills.
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byBytesAgain2@ckchzh
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
The name/description (ML content roadmap and content toolkit) matches the included bash script and SKILL.md. The script implements commands for drafting, editing, exporting, searching, and stats — all relevant to a content-management roadmap tool. No unrelated credentials, binaries, or installs are requested.
Instruction Scope
Runtime instructions and the script operate only on files under the user data directory (~/.local/share/machine-learning-roadmap). The script logs every user entry and a history file. It does not make network requests or access other system config. Note: user-provided text is stored unencrypted on disk and included verbatim in exports; export code does not escape values (may produce malformed JSON) which can cause accidental leakage if exported files are shared.
Install Mechanism
No install spec is provided (instruction-only with an included script). No downloads or package installs are performed. The script is plain bash and uses only standard Unix utilities.
Credentials
The skill requests no environment variables, credentials, or config paths. The single data directory it uses is local to the user home and matches the described functionality.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide settings. It persists its own data under the user's home directory only.
Assessment
This skill appears to do what it says and only writes local files, but be aware it will persist any text you enter (including secrets) in cleartext under ~/.local/share/machine-learning-roadmap. If you install it: (1) avoid entering passwords, API keys, or other sensitive data into commands; (2) consider changing DATA_DIR to an encrypted location or restrict filesystem permissions; (3) if you plan to share exports, inspect them first — export code does not escape values and may produce malformed or unsafe output; (4) review the included script before running to confirm you accept its local storage behavior and the BytesAgain attribution if provenance matters.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.