darwinian-evolver

Evolve prompts/regex/SQL/code with Imbue's evolution loop.

分类

开发提效

版本

v0.1.0

作者

弈韬(@ra1nzzz)

下载

2

收藏

0

发布

2026-08-25

更新

2026-08-25

TRACE 评分

4 / 5

内容概览

Run Imbue's darwinian evolver — an LLM-driven evolutionary search loop — to optimize a prompt, regex, SQL query, or small code snippet against a fitness function. Status: thin wrapper around the upstream tool. The skill installs it, walks the agent through writing a Problem definition (organism + evaluator + mutator), and drives the loop via the upstream CLI or a small custom Python driver. License: the upstream tool is AGPL-3.0 . The skill ONLY ever invokes it via the upstream CLI or a subprocess/uv run call (mere aggregation). Do NOT import upstream classes into Hermes itself. - User says "optimize this prompt", "evolve a regex for X", "auto-improve this code/SQL", "search for a better instruction". - You have a scorer (exact match, regex pass-rate, unit test, LLM-judge, runtime metric) AND a starting candidate (organism). If you don't have a scorer, stop and define one first — that's …

查看 SKILL 详情