Evolve logo

Evolve

Organization
evolving-machines-lab
evolve

Evolve runs agent evaluations in the cloud: any model on any coding-agent harness (Claude Code, Codex, Gemini and more) against datasets of Harbor-format tasks, such as terminal-bench or SWE-bench style benchmarks, plus an SDK that runs those agents in sandboxes from TypeScript or Python. Use this skill whenever the user names Evolve or the `evolve` command, or wants to benchmark, evaluate, score or compare models or agent harnesses, start or watch an eval job, browse or publish a dataset of tasks, read trials, traces, rewards, checks or analyses, write, verify, convert or publish a task in the Harbor format (task.toml, verifier, Reward Kit, rubric), or run a coding agent in a sandbox from code, even when the word Evolve is not said. Not for browser automation, ordinary shell or git work, a data table in pandas or SQL, or agent frameworks other than Evolve.

Overview

Publisherevolving-machines-lab
Repositoryevolve
Skill nameevolve
Stars
76
Forks
5
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by evolving-machines-lab on GitHub. Read the source before you install it.

Installation

Install the Evolve AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/evolving-machines-lab/evolve.git /tmp/evolve
mkdir -p .claude/skills
cp -r /tmp/evolve/skills/evolve .claude/skills/evolve
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Evolve in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Evolve on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Evolve is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

evolve

Hosted evals and the SDK, from the evolve command.

Install: npm i -g @evolvingmachines/evolve, then export EVOLVE_API_KEY=<your key> (create a key at https://dashboard.evolvingmachines.ai/api-keys).

Python SDK: pip install evolvingmachines-evolve (import evolve). The manual still comes from the evolve command.

Start here

This file is a pointer, not the manual. The manual ships inside the CLI and always matches the installed version. Keep it current: npm i -g @evolvingmachines/evolve@latest, then evolve skills install --force refreshes this file. Before running any evolve command, load it:

bash
evolve skills get evals                        # the index of the documentation: every page, one line each
evolve skills get evals core-concepts/tasks    # one page, by its site path
evolve skills get evals --full                 # every page at once; only when everything is needed

Read the index first, then the page for your topic, then write the command. Every verb also answers evolve <verb> --help.

The other skills

bash
evolve skills get create-task      # write a new task in the Harbor format, verifier included
evolve skills get rewardkit        # write a task's verifier with Reward Kit
evolve skills get create-adapter   # convert an existing benchmark into a folder of Harbor-format tasks
evolve skills get publish          # publish a dataset of tasks, or upload a job you ran elsewhere

evolve skills list names everything the installed version serves; --full on any skill adds its pages. The SDK skill (run agents in sandboxes from TypeScript or Python) is not served by the command; install it from the repository: npx skills add evolving-machines-lab/evolve --skill evolve-agents.

Inside the evolve repository

An agent working in a checkout of https://github.com/evolving-machines-lab/evolve reads the same content directly from skills/<name>/SKILL.md (evolve-evals is the evals index, its pages under references/); nothing needs to be installed.

Frequently asked questions

What does the Evolve AI skill do?

Evolve runs agent evaluations in the cloud: any model on any coding-agent harness (Claude Code, Codex, Gemini and more) against datasets of Harbor-format tasks, such as terminal-bench or SWE-bench style benchmarks, plus an SDK that runs those agents in sandboxes from TypeScript or Python. Use this skill whenever the user names Evolve or the `evolve` command, or wants to benchmark, evaluate, score or compare models or agent harnesses, start or watch an eval job, browse or publish a dataset of tasks, read trials, traces, rewards, checks or analyses, write, verify, convert or publish a task in...

Why use Evolve on TypingMind?

Because you install it once and use it with any model. Evolve is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Evolve in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/evolving-machines-lab/evolve/tree/main/skills/evolve. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Evolve?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Evolve?

As many as you like. As long as a model supports skills, you can use Evolve with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Evolve AI skill free?

Yes. It is published on GitHub by evolving-machines-lab under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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