embedded-systems-architect: Instructions file for Gemini CLI

GEMINI.md

embedded-systems-architect GEMINI.md is an instructions file for Gemini CLI from Zachariah9420/embedded-systems-architect. It costs 116 tokens per session, scanned A, original, MIT.

A set of operating instructions for an agent working on embedded systems and edge AI—software that runs close to the device or sensor. The full instructions are stored in a separate SKILL.md file.

In plain words
What is it for?
Use it when handling embedded-device or edge-AI development tasks in the named repository. The input does not specify the individual tasks it supports.
Why use it?
It tells the agent which instructions, tools, evidence standards, and safety checks to follow for this type of work.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions Gemini CLI.

This is Zachariah9420/embedded-systems-architect's own configuration. It tells Gemini CLI how to work on embedded-systems-architect itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything embedded-systems-architect configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Zachariah9420/embedded-systems-architect. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Zachariah9420/embedded-systems-architect/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/Zachariah9420/embedded-systems-architect

Made for: 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.

agentmods badge for embedded-systems-architect GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/zachariah9420/embedded-systems-architect/gemini-md.svg)](https://agentmods.dev/instructions/zachariah9420/embedded-systems-architect/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/zachariah9420/embedded-systems-architect/gemini-md"><img src="https://agentmods.dev/badge/instructions/zachariah9420/embedded-systems-architect/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 116 This file is loaded in full into every session.
When invoked 116 The same file — it is already loaded in full.
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.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00116 $0.00116
Opus 5 $0.00058 $0.00058
Sonnet 5 $0.00023 $0.00023
Haiku 4.5 $0.00012 $0.00012

Measured 8d ago against content hash 043ba1bff46d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

embedded-systems-architect GEMINI.md 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 8d 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.

GEMINI.md · 8 lines

What it actually says

GEMINI.md

This repository ships an agent skill for embedded-systems and edge-AI development work.

The complete operating instructions live in SKILL.md. When working on an embedded/edge-AI task in this context: read SKILL.md first and follow it strictly — module routing, on-demand loading of references/, the scripts/ tools, evidence-tier marking, and the hard gates for irreversible operations all apply without exception.

The skill's instruction files are written in Traditional Chinese; respond in the user's language.

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.

  1. 8d ago First seen · 8 lines · 116 tokens per session scan A 043ba1bff46d

Subscribe to this mod's changes

embedded-systems-architect GEMINI.md is an instructions file published in the GitHub repository Zachariah9420/embedded-systems-architect (4 stars, last pushed 27d ago), licensed MIT. It adds 116 tokens to every session, about $0.0006 per session on Opus 5. 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 2026-08-31.

Related

Other instructions, from other repositories

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,296 tokens

codex AGENTS.md

AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.

openai/codex · 5,153 tokens

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 6,785 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).

microsoft/vscode · 5,001 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,469 tokens

spec-kit AGENTS.md

AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.

github/spec-kit · 7,104 tokens