arya-ai: Instructions file for Gemini CLI

GEMINI.md

arya-ai GEMINI.md is an instructions file for Gemini CLI from edenbuilds/arya-ai. It costs 80 tokens per session, scanned A, original, MIT.

A set of instructions for using the arya-ai repository as a local reference and legal prompt library. It also describes an optional MCP server for searching protocols, commands, and agents.

In plain words
What is it for?
Use it when working with arya-ai to find relevant protocols or commands and produce locally checked drafting artifacts.
Why use it?
It gives an agent a defined way to route requests and verify drafts using the repository's local material.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is edenbuilds/arya-ai's own configuration. It tells Gemini CLI how to work on arya-ai 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 arya-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to edenbuilds/arya-ai. 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/edenbuilds/arya-ai/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/edenbuilds/arya-ai

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 arya-ai GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/edenbuilds/arya-ai/gemini-md.svg)](https://agentmods.dev/instructions/edenbuilds/arya-ai/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/edenbuilds/arya-ai/gemini-md"><img src="https://agentmods.dev/badge/instructions/edenbuilds/arya-ai/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 80 This file is loaded in full into every session.
When invoked 80 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 $0.00080 $0.00080
Opus 5 $0.00040 $0.00040
Sonnet 5 $0.00016 $0.00016
Haiku 4.5 $0.00008 $0.00008

Measured 8d ago against content hash 1d61bc300980, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

arya-ai 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 · 6 lines

What it actually says

arya-ai for Gemini

Use this repository as the legal prompt pack and local reference base. Read skills/arya-ai-orchestrator/SKILL.md first for routing, safety, drafting, and verification rules.

When MCP is available, run the arya-ai server from .mcp.json to search protocols, fetch commands, retrieve agents, and produce local drafting artifacts.

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 · 6 lines · 80 tokens per session scan A 1d61bc300980

Subscribe to this mod's changes

arya-ai GEMINI.md is an instructions file published in the GitHub repository edenbuilds/arya-ai (3 stars, last pushed 2mo ago), licensed MIT. It adds 80 tokens to every session, about $0.0004 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