-Auto-Accounting GEMINI.md

-Auto-Accounting GEMINI.md is an instructions file for Gemini CLI from supremehui/-Auto-Accounting. It costs 1,163 tokens per session, scanned A, original, Apache-2.0.

A Gemini CLI instruction file for PinMe, an Android app that captures screen content and uses AI to extract useful details such as codes and ticket information. It also documents the app's Kotlin, Compose, database, networking, and notification setup.

In plain words
What is it for?
It is for guiding work on PinMe's Android codebase, including screen capture, vision-model requests, extracted-data storage, and widgets or notifications.
Why use it?
It gives the coding assistant project context and records how the app's screen capture, AI extraction, storage, and display pieces fit together.

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/supremehui/-auto-accounting/gemini-md
Clone the repo
git clone --depth 1 https://github.com/supremehui/-Auto-Accounting

Made for: Gemini CLI.

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README.md
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Per session 1,163 This file is loaded in full into every session.
When invoked 1,163 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

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ModelPer sessionOnce invoked
Fable 5.1 $0.01163 $0.01163
Opus 5 $0.00581 $0.00581
Sonnet 5 $0.00233 $0.00233
Haiku 4.5 $0.00116 $0.00116

Measured today against content hash 187e476c15b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

-Auto-Accounting 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 today.

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 · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PinMe - Intelligent Screen Capture & Extraction

Project Overview

PinMe (supreme) is an Android application designed to intelligently capture screen content and extract key information (e.g., pickup codes, train tickets, verification codes) using Vision Large Language Models (LLMs). The extracted information is then presented via Meizu Flyme's Live Notifications (Capsule) or a standard Android AppWidget for quick access.

Technology Stack

  • Language: Kotlin
  • UI Framework: Jetpack Compose (Material3)
  • Architecture: Modern Android Architecture (Compose + Room + Coroutines)
  • Database: Room (SQLite abstraction)
  • Networking: OkHttp (for LLM API communication)
  • AI/LLM Integration: OpenAI-compatible API client (supports Zhipu AI, SiliconFlow, Custom)
  • Key Android APIs:
    • MediaProjection: For screen capture.
    • AccessibilityService: For silent/background capture.
    • Glance: For building AppWidgets with Compose-like syntax.
    • NotificationManager: For system and Flyme-specific notifications.

Project Structure

app/src/main/java/com/brycewg/pinme/
├── Constants.kt                # App-wide constants (Prefs keys, LLM defaults)
├── MainActivity.kt             # Main entry point / Configuration UI
├── capture/                    # Screen capture logic
│   ├── CaptureActivity.kt      # Foreground capture (MediaProjection)
│   ├── Accessibility...        # Background/Silent capture service
│   └── QuickCaptureTile...     # Quick Settings Tile implementation
├── db/                         # Room Database definitions
│   ├── AppDatabase.kt          # Database holder
│   ├── Entity.kt               # Data models (ExtractEntity, PreferenceEntity)
│   └── PinMeDao.kt             # Data Access Objects
├── extract/                    # Core Business Logic
│   ├── ExtractWorkflow.kt      # Orchestrates Capture -> LLM -> DB flow
│   └── ExtractParsing.kt       # Parses LLM JSON response
├── notification/               # Notification handling
│   └── UnifiedNotification...  # Handles Flyme Live Capsules & Standard Notifs
├── ui/                         # Jetpack Compose UI
│   ├── components/             # Reusable UI elements
│   ├── layouts/                # Screen layouts (Settings, Home, etc.)
│   └── theme/                  # Theme definitions
├── vllm/                       # LLM Client Network Layer
│   └── VllmClient.kt           # OkHttp client for OpenAI-compatible APIs
└── widget/                     # Home Screen Widget
    └── PinMeWidget.kt          # Glance AppWidget implementation

Read the full file on GitHub · 109 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. today First seen · 109 lines · 1,163 tokens per session scan A 187e476c15b1

Subscribe to this mod's changes

-Auto-Accounting GEMINI.md is an instructions file published in the GitHub repository supremehui/-Auto-Accounting (7 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 1,163 tokens to every session, about $0.0058 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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