ragflow-knowledge-mcp-server: Instructions file for Gemini CLI

GEMINI.md

ragflow-knowledge-mcp-server GEMINI.md is an instructions file for Gemini CLI from lumerix7/ragflow-knowledge-mcp-server. It costs 2 tokens per session, scanned A, a copy of tensorlake AGENTS.md, MIT.

Instructions for a knowledge-base server used with RAGFlow, a system for finding relevant stored information and giving it to an AI model.

In plain words
What is it for?
Use them when working on the lumerix7/ragflow-knowledge-mcp-server project.
Why use it?
They provide project-specific guidance for working with that server, but the input does not include the actual instructions.

Instructions file for Gemini CLI

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

This is lumerix7/ragflow-knowledge-mcp-server's own configuration. It tells Gemini CLI how to work on ragflow-knowledge-mcp-server 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 ragflow-knowledge-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lumerix7/ragflow-knowledge-mcp-server. 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/lumerix7/ragflow-knowledge-mcp-server/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/lumerix7/ragflow-knowledge-mcp-server

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 ragflow-knowledge-mcp-server GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/lumerix7/ragflow-knowledge-mcp-server/gemini-md/github.svg)](https://agentmods.dev/instructions/lumerix7/ragflow-knowledge-mcp-server/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/lumerix7/ragflow-knowledge-mcp-server/gemini-md"><img src="https://agentmods.dev/badge/instructions/lumerix7/ragflow-knowledge-mcp-server/gemini-md/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.

agentmods 80×15 button for ragflow-knowledge-mcp-server GEMINI.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/lumerix7/ragflow-knowledge-mcp-server/gemini-md"><img src="https://agentmods.dev/badge/instructions/lumerix7/ragflow-knowledge-mcp-server/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 2 This file is loaded in full into every session.
When invoked 2 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 100% copy Near-identical to another mod 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 $0.00002 $0.00002
Opus 5.5 $0.00001 $0.00001
Sonnet 5.5 $0.00000 $0.00000
Haiku 4.5 $0.00000 $0.00000

Measured 1mo ago against content hash b33563055168, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ragflow-knowledge-mcp-server 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 1mo 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.

Origin

This is a copy

100% identical to tensorlake AGENTS.md — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

GEMINI.md · 1 lines

What it actually says

README.md

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. 1mo ago First seen · 1 lines · 2 tokens per session scan A b33563055168

Subscribe to this mod's changes

ragflow-knowledge-mcp-server GEMINI.md is an instructions file published in the GitHub repository lumerix7/ragflow-knowledge-mcp-server (5 stars, last pushed 1y ago), licensed MIT. It adds 2 tokens to every session, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to tensorlake AGENTS.md, differing in 7 lines, and is treated as a copy.

Related

Other instructions, from other repositories