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ml-pipeline

100 / 100 · Low risk

Fine to try.

By hashgraph-online/awesome-codex-plugins (GitHub) · coding · 1,573 stars · scanned at commit 70b6a3a

MANDATORY whenever a task involves training, fine-tuning, tuning, or evaluating a machine-learning model on data (tabular, time series, text, images — any modality). Enforces a strict 16-step pipeline that starts with inspecting the raw data, gates each phase behind the user's explicit permission, and produces marimo notebooks with matplotlib visuals so the user can see and understand every step. Never jump straight to model training.

Works with any agent that supports SKILL.md skills.

What this skill can do

We found nothing in the files we read that matches our rules. That does not prove the skill is safe: see the limits of static scanning.

Install

Paste this into your terminal. It downloads exactly the version we scanned, not whatever is newest.

if [ -e ~/.agents/skills/'ml-pipeline' ] || [ -L ~/.agents/skills/'ml-pipeline' ]; then echo 'A skill folder named ml-pipeline already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/hashgraph-online/awesome-codex-plugins' "$d" && git -C "$d" checkout --quiet '70b6a3a3a7c774671e45af646306e1448baf0511' -- 'plugins/jananthan30/ml-pipeline/skills/ml-pipeline' && mkdir -p ~/.agents/skills && cp -R "$d"/'plugins/jananthan30/ml-pipeline/skills/ml-pipeline' ~/.agents/skills/'ml-pipeline' && rm -rf "$d"; fi

Codex reads ~/.agents/skills directly. For Claude Code, Cursor, Copilot, Gemini CLI, Antigravity or OpenCode, also link it. For Claude Code: ln -s ~/.agents/skills/'ml-pipeline' ~/.claude/skills/'ml-pipeline' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.

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