A small collection of AI coding-agent skills covering the full software-engineering workflow. The description does not specify which individual tasks or tools it includes.

It is intended for general coding-agent work across an engineering project.

The available information is too limited to identify a more specific benefit without guessing.

nanostack — Plugin for Codex and Gemini CLI by garagon

Install

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.

Clone the repo

git clone --depth 1 https://github.com/garagon/nanostack

Made for: Codex, Gemini CLI.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/plugins/garagon/nanostack/gemini-extension/github.svg)](https://agentmods.dev/plugins/garagon/nanostack/gemini-extension)

Your own site

<a href="https://agentmods.dev/plugins/garagon/nanostack/gemini-extension"><img src="https://agentmods.dev/badge/plugins/garagon/nanostack/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.

Your own site · 80×15

<a href="https://agentmods.dev/plugins/garagon/nanostack/gemini-extension"><img src="https://agentmods.dev/badge/plugins/garagon/nanostack/gemini-extension.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured Not applicable: nothing here is loaded into a session.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

nanostack 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 1mo ago.

The scan reads gemini-extension.json. This mod also ships 10 executable files (examples/api-healthcheck/server.js, examples/cli-notes/notes.sh, examples/custom-skill-template/audit-licenses/bin/audit.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

gemini-extension.json · 7 lines

What it actually says

{
  "name": "nanostack",
  "description": "Minimal AI coding agent team skills for the full engineering workflow",
  "version": "1.1.1",
  "contextFileName": "GEMINI.md"
}

Files

What ships with it

29 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.

Changes

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.

1mo ago First seen · 7 lines scan A 8a12a86f15a3

Subscribe to this mod's changes

nanostack is a plugin published in the GitHub repository garagon/nanostack (207 stars, last pushed 1mo ago), licensed Apache-2.0. 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 2026-09-11.

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