darwinian-evolver Skill
Evolve prompts/regex/SQL/code with Imbue's evolution loop. Published by NousResearch in hermes-agent.
What is darwinian-evolver Skill?
Evolve prompts/regex/SQL/code with Imbue's evolution loop. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Testing
- Database workflows
- Writing
- Research
- Testing use cases
Technical details
- Install or run with Copy skill directory
When to use darwinian-evolver Skill
- Use it for testing.
- Use it for database workflows.
- Use it for writing.
- Use it for research.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/research/darwinian-evolver/SKILL.md
What it does
Evolve prompts/regex/SQL/code with Imbue's evolution loop.
Skill instructions
Darwinian Evolver Run Imbue's darwinianevolver — 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. When to Use - 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 the hard part. - Cost is OK: a typical run is 50–500 LLM calls. On gpt-4
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Frequently asked questions
What is darwinian-evolver?
darwinian-evolver is a open-source AI agent skill with Copy skill directory. Evolve prompts/regex/SQL/code with Imbue's evolution loop.
Who is darwinian-evolver best for?
darwinian-evolver is best for reusing agent instructions, scripts, and references, testing workflows, database workflows, writing workflows.
How do I install darwinian-evolver?
Install or run darwinian-evolver using Copy skill directory. Check darwinian-evolver for the latest setup command.
Is darwinian-evolver actively maintained?
darwinian-evolver may need a closer maintenance check before production use.
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