catatz GEMINI.md

catatz GEMINI.md is an instructions file for Gemini CLI from kupzed/catatz. It costs 4 tokens per session, scanned A, a copy of deepseek-harness CLAUDE.md, MIT.

Gemini CLI instructions for kupzed/catatz, a project described as: A personal finance management app powered by Next.js and Supabase. Key features include transaction tracking, account management, custom categories, debt tracking, monthly overviews, Excel/PDF exports, and AI-driven automated data entry.

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/kupzed/catatz/gemini-md
Clone the repo
git clone --depth 1 https://github.com/kupzed/catatz

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 catatz GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/kupzed/catatz/gemini-md.svg)](https://agentmods.dev/instructions/kupzed/catatz/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/kupzed/catatz/gemini-md"><img src="https://agentmods.dev/badge/instructions/kupzed/catatz/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 4 This file is loaded in full into every session.
When invoked 4 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00004 $0.00004
Opus 5 $0.00002 $0.00002
Sonnet 5 $0.00001 $0.00001
Haiku 4.5 $0.00000 $0.00000

Measured 2d ago against content hash 954ec5dad7ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

catatz 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 2d 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 deepseek-harness CLAUDE.md — 1 line 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 · 2 lines

What it actually says

AGENTS.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. 2d ago First seen · 2 lines · 4 tokens per session scan A 954ec5dad7ea

Subscribe to this mod's changes

catatz GEMINI.md is an instructions file published in the GitHub repository kupzed/catatz (33 stars, last pushed 2d ago), licensed MIT. It adds 4 tokens to every session, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to deepseek-harness CLAUDE.md, differing in 1 line, and is treated as a copy.