evolving-ai-agents SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.

evolving-ai-agents from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add orchestra-research/ai-research-skills/evolving-ai-agents@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
orchestra-research/ai-research-skills
Path
14-agents/a-evolve/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Apr 7, 2026
Size
14,603 bytes
Repository stars
13,718
License
MIT

Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Evolving AI Agents with A-Evolve

## Overview

A-Evolve is universal infrastructure for evolving any AI agent across any domain using any evolution algorithm with zero manual engineering. It represents all evolvable agent state as files (prompts, skills, memory, tools), runs iterative solve-observe-evolve cycles against benchmarks, and uses LLM-driven mutation to improve agent performance automatically.

**Benchmark results** (Claude Opus 4.6):
- MCP-Atlas: 79.4% (#1)
- SWE-bench Verified: 76.8% (~#5)
- Terminal-Bench 2.0: 76.5% (~#7)
- SkillsBench: 34.9% (#2)

## When to Use A-Evolve

**Use A-Evolve when:**
- Optimizing agent prompts, skills, or memory against a measurable benchmark
- Building self-improving agents with automated gating and rollback
- Evolving domain-specific tool usage and procedures through LLM-driven mutation
- Running iterative solve-observe-evolve loops to maximize agent performance
- Needing reproducible, git-versioned evolution history for every change

**Key differentiator**: Other frameworks _build_ agents; A-Evolve _optimizes_ them. It sits on top of any agent framework and makes it better through automated evolution.

**Do NOT use A-Evolve for:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add orchestra-research/ai-research-skills/evolving-ai-agents@sha256:6477f6efbbf3541c

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_hn5yl2ru6d5uvgqf.svg)](https://markdownregistry.com/a/art_hn5yl2ru6d5uvgqf)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 7, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-04-07 8154045 14,603 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14603 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_hn5yl2ru6d5uvgqf
GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/evolving-ai-agents
GET https://markdownregistry.com/api/v1/blob/6477f6efbbf3541ce3dfccf6665f5cdf6f241e47dcc3b32787e3e49b90223dbc

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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