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self-improvement-loops

100 / 100 · Low risk

Fine to try.

By boisenoise/skills-collections (GitHub) · design · 12 stars · scanned at commit 419c39f

This skill should be used when the harness, scaffold, workflow, or optimizer itself is the optimization target: recursive self-improvement (RSI) loops, meta-harnesses, self-improving harnesses that mine their own failures and propose bounded edits, evolutionary or population-based search over agent scaffolds, acceptance gates for self-modifying systems, and agentic context evolution where the mechanism that produces context is versioned and evolved. Route governance of a single autonomous loop …

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/'self-improvement-loops' ] || [ -L ~/.agents/skills/'self-improvement-loops' ]; then echo 'A skill folder named self-improvement-loops already exists — not replacing it' >&2; false; else d=$(mktemp -d) && git clone --quiet --filter=blob:none --no-checkout 'https://github.com/boisenoise/skills-collections' "$d" && git -C "$d" checkout --quiet '419c39fde874b8baecbb36a397b967e0190a2ece' -- 'skills/context-eng-self-improvement-loops' && mkdir -p ~/.agents/skills && cp -R "$d"/'skills/context-eng-self-improvement-loops' ~/.agents/skills/'self-improvement-loops' && 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/'self-improvement-loops' ~/.claude/skills/'self-improvement-loops' (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
2026-11-12419c39f100
2026-11-085fe45e5100
2026-11-06b89b2f5100