Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/fmind/agent-evolutionsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/fmind/agent-evolutions/gemini-extension)<a href="https://agentmods.dev/plugins/fmind/agent-evolutions/gemini-extension"><img src="https://agentmods.dev/badge/plugins/fmind/agent-evolutions/gemini-extension/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/fmind/agent-evolutions/gemini-extension"><img src="https://agentmods.dev/badge/plugins/fmind/agent-evolutions/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
agent-evolutions scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "agent-evolutions",
"version": "1.2.0",
"description": "Genetic exploration of solution spaces for AI coding agents — gather a verifiable objective, evolve variants, apply the winner.",
"author": {
"name": "Médéric Hurier",
"email": "[email protected]",
"url": "https://fmind.dev"
},
"homepage": "https://github.com/fmind/agent-evolutions",
"repository": "https://github.com/fmind/agent-evolutions",
"license": "MIT",
"keywords": [
"agentic-coding",
"agent-skills",
"agent-evolutions",
"genetic-loop",
"variant-optimization",
"verifiable-scoring",
"gemini-cli",
"claude-code",
"github-copilot",
"opencode"
]
}
What ships with it
2 files beside gemini-extension.json in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 26 lines scan A a79bcf4dd05c
agent-evolutions is a plugin published in the GitHub repository fmind/agent-evolutions (1 stars, last pushed 2d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-14.
Other plugins, from other repositories
agent-levers
Levers for AI coding agents — multiply the agent's force, divide the human's effort.
eai-gofer
Legacy Gemini CLI file-format compatibility for EAI Gofer.
eai-gofer
Gofer single-entry delivery command with internal pipeline routing.
agent-levers
Levers for AI coding agents — multiply the agent's force, divide the human's effort.
agent-skills-android
Production-grade Android engineering skills for AI coding agents. Covers the full development lifecycle from spec to Play Store: Kotlin, Jetpack Compose, Gradle, Android SDK, and the Android ecosystem.
acedatacloud-ai-media
AI media generation: music (Suno, Producer, Fish Audio), images (GPT Image, Midjourney, Flux, Qwen Image, Seedream, Nano Banana), video (Grok, MiniMax H3, Luma, Sora, Veo, Kling, Hailuo, Happy Horse, Seedance, Maestro).