aeon-autoresearch

name

aeon-autoresearch

description

Evolve any installed skill by generating four variations along separate theses (better inputs / sharper output / more robust / rethink), scoring them on a weighted rubric, and applying the winner. Never downgrades a working skill — aborts cleanly if no variation improves the original. Use when an installed skill is producing low-signal output, hitting deprecated APIs, or feels stale. Triggers: "improve this skill", "evolve $skill", "auto-research my X", "regenerate variations".

aeon-autoresearch

Self-improvement loop. Given a target SKILL.md, generates four parallel improved variations, scores each, applies the winner.

Inputs

Param	Description
target	Skill name or path to SKILL.md. Required.
mode	evolve (default) writes the diff. dry-run scores and prints, writes nothing.

The four variations

• A — Better inputs: replace deprecated APIs, add fallbacks, fix broken endpoints.
• B — Sharper output: tighter format, signal over noise, explicit verdicts, banned filler.
• C — More robust: empty-data handling, retries, dedup state, rate-limit awareness.
• D — Rethink: fundamentally different methodology for the same goal.

Each is a complete runnable SKILL.md. Frontmatter shape preserved.

Scoring

1-5 per axis, weighted total max 50:

Axis	Weight
Improvement vs original	3×
Output value	2×