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ensembling

100 / 100 · Low risk

Fine to try.

By Leeroo-AI/kapso (GitHub) · devops · 207 stars · scanned at commit 35f7b9b

How a final ensemble is built and judged: members chosen for decorrelation, the blend that fits the metric (a fitted meta-model, a mean on the metric's scale, a rank average for ranking metrics) measured against the plain combination, the out-of-fold predictions a fitted blend needs, the ensemble as its own candidate, and the end-of-budget stage. Use when combining models, in the last stage of the budget, and when judging a blended candidate.

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/'ensembling' ] || [ -L ~/.agents/skills/'ensembling' ]; then echo 'A skill folder named ensembling already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/Leeroo-AI/kapso' "$d" && git -C "$d" checkout --quiet '35f7b9b26a6b3864fdc8c018577d448c2840345b' -- 'src/kapso/harness/bundled/competitive-programming/skills/ensembling' && mkdir -p ~/.agents/skills && cp -R "$d"/'src/kapso/harness/bundled/competitive-programming/skills/ensembling' ~/.agents/skills/'ensembling' && 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/'ensembling' ~/.claude/skills/'ensembling' (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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Score history

DateVersionScore
2026-11-1335f7b9b100
2026-11-09eb1d3e8100
2026-11-07081f710100

Also found in

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