grounded-knowledge-engine GEMINI.md

Instructions for using Gemini CLI in a repository where the shared agent guidance lives in AGENTS.md. Gemini CLI is a command-line coding assistant, and an MCP server adapter provides its external tools.

In plain words
What is it for?
Setting up the repository's Gemini CLI MCP configuration with npm run setup:mcp when .gemini/settings.json is missing.
Why use it?
It prevents tool lookup failures by explaining that the generated local settings file must exist before the knowledge-base tools can work.

Instructions file for Gemini CLI

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.

agentmods
npx agentmods add instructions/dimosgit/grounded-knowledge-engine/gemini-md
Clone the repo
git clone --depth 1 https://github.com/dimosgit/grounded-knowledge-engine

Made for: Gemini CLI.

Per session 110 This file is loaded in full into every session.
When invoked 110 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00110 $0.00110
Opus 5 $0.00055 $0.00055
Sonnet 5 $0.00022 $0.00022
Haiku 4.5 $0.00011 $0.00011

Measured yesterday against content hash bfa8fd0a52ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

grounded-knowledge-engine 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 yesterday.

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 · 14 lines

What it actually says

GEMINI.md

This file provides guidance to Gemini CLI when working with code in this repository. The canonical agent guidance is shared across Claude Code, Codex, and Gemini CLI in a single file to prevent drift:

@AGENTS.md

Gemini CLI specifics:

  • This repo's kb MCP server adapter is generated into .gemini/settings.json by npm run setup:mcp (machine-local, gitignored). If the file is missing, run that command before expecting kb.* tools to resolve.
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. yesterday First seen · 14 lines · 110 tokens per session scan A bfa8fd0a52ac

Subscribe to this mod's changes

grounded-knowledge-engine GEMINI.md is an instructions file published in the GitHub repository dimosgit/grounded-knowledge-engine (5 stars, last pushed 5d ago), licensed MIT. It adds 110 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.

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