agentmods.dev

PromptPacker: Instructions file for Gemini CLI

GEMINI.md

PromptPacker GEMINI.md is an instructions file for Gemini CLI from ClarkOhlenbusch/PromptPacker. It costs 737 tokens per session, scanned A, original, Apache-2.0.

A project instruction document describing PromptPack, a tool that gathers code into shorter context for large language models, across a desktop app, browser extension, and website.

In plain words
What is it for?
Use it as project guidance when developing or building the PromptPack applications and browser extension.
Why use it?
It gives an AI coding assistant the project's structure, technologies, and development commands so it can work in the right part of the repository.

Instructions file for Gemini CLI

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

This is ClarkOhlenbusch/PromptPacker's own configuration. It tells Gemini CLI how to work on PromptPacker 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 PromptPacker configures →

not rated 14repo +1 6mo ago A scan 737 tokens original Apache-2.0
View source ↗ ClarkOhlenbusch/PromptPacker prompt-packer-one.vercel.app
Reuse

Borrowing it

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

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 PromptPacker GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/clarkohlenbusch/promptpacker/gemini-md.svg)](https://agentmods.dev/instructions/clarkohlenbusch/promptpacker/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/clarkohlenbusch/promptpacker/gemini-md"><img src="https://agentmods.dev/badge/instructions/clarkohlenbusch/promptpacker/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 737 This file is loaded in full into every session.
When invoked 737 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 $0.00737 $0.00737
Opus 5 $0.00368 $0.00368
Sonnet 5 $0.00147 $0.00147
Haiku 4.5 $0.00074 $0.00074

Measured 2d ago against content hash 4d4f8e9c75a2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

PromptPacker 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.

GEMINI.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PromptPack Project Overview

This repository contains the ecosystem for PromptPack, a tool designed to intelligently "pack" codebases into concise contexts for Large Language Models (LLMs). It features a multi-platform architecture sharing a common core.

Project Structure

The repository is organized into distinct sub-projects:

1. prompt-pack-lite (Desktop App)

  • Type: Desktop Application (Windows, macOS, Linux)
  • Stack: Rust (Tauri v2), React 19, TypeScript, Tailwind CSS.
  • Key Features:
    • Reads local file systems.
    • Uses tree-sitter for AST-based code skeletonization (summarizing code structure).
    • Respects .gitignore via the ignore crate.
  • Build & Run:
    • npm run tauri dev: Start the application in development mode.
    • npm run tauri build: compile a release binary.

2. ColabPromptPack (Chrome Extension)

  • Type: Browser Extension (Chrome Manifest V3)
  • Stack: React 19, TypeScript, Tailwind CSS, Vite.
  • Key Features:
    • Enables PromptPack directly inside Google Colab.
    • Architecture: Uses an "Adapter Pattern". Replaces the local file system calls with a DOM scraper (content.js) that reads code cells from the active Colab notebook.
    • Data Flow: Background Script -> Content Script (Scraper) -> React UI (via IFrame/Side Panel).
  • Build:
    • npm run build: Compiles the React application. (Note: Ensure extension-specific files like manifest.json and background scripts are correctly packaged).

3. prompt-pack-site (Landing Page)

  • Type: Static Website
  • Stack: React 19, Vite, Tailwind CSS.
  • Purpose: Marketing and download site for PromptPack.
  • Build:
    • npm run dev: Local development server.
    • npm run build: Production build.

4. prompt-pack-heavy (Planned)

  • Type: Local AI Desktop App (Privacy-First)
  • Status: Architecture Draft (see PROMPT_PACK_HEAVY_ARCH.md).
  • Goal: Use local SLMs (e.g., Qwen2.5-Coder-3B via Candle) to generate intelligent semantic summaries of code instead of raw text.

Read the full file on GitHub · 55 lines

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 · 55 lines · 737 tokens per session scan A 4d4f8e9c75a2

Subscribe to this mod's changes

PromptPacker GEMINI.md is an instructions file published in the GitHub repository ClarkOhlenbusch/PromptPacker (14 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 737 tokens to every session, about $0.0037 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 2026-09-04.

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