ml
100 / 100 · Low risk
Fine to try.
Machine learning and LLM engineering judgment, distilled from a stronger model - invoke when DECIDING whether/how to use ML or an LLM for a task (prompt vs RAG vs fine-tune vs classical); working with training/eval data or labels; building or reviewing evals for models and LLM features; designing RAG, structured output, or agent pipelines; or diagnosing why a model/LLM feature underperforms. Method-selection ladder, data and leakage discipline, eval-as-spec rules, LLM-era craft, and a trap cata…
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' ] || [ -L ~/.agents/skills/'ml' ]; then echo 'A skill folder named ml already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/telagod/code-abyss' "$d" && git -C "$d" checkout --quiet '2544577cf03a67522466450000731e52c64a5184' -- 'skills/_kernel/ml' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/_kernel/ml' ~/.agents/skills/'ml' && 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' ~/.claude/skills/'ml' (other agents: ~/.cursor/skills, ~/.copilot/skills, ~/.gemini/skills, ~/.gemini/config/skills, ~/.config/opencode/skills). Or install through the finder skill, which does both.
Badge for your README
[](https://zalavijaysinh.github.io/skilltrust/repos/telagod/code-abyss/)
Score history
| Date | Version | Score |
|---|---|---|
| 2026-11-07 | 2544577 | 100 |