About this project

## What this repository presents The repository is named `hill-climb-save-editor-pro` and its short description advertises a "Python Hill Climb Racing 2 Mod Tool with Infinite Coins and Gems 2026". The README, however, describes something quite different: a project called **Peak Ascent Optimizer (PAO)**, framed as an "alpine progression companion" and "digital co-pilot" for vehicle-based mountain-climbing games. This mismatch between the repository metadata and the README is the first thing a reader should notice. Nothing in the README explains how to edit a save file, unlock currency, or modify game data. ## What the README claims the tool does According to the documentation, PAO works only on visible screen output rather than game files or memory: - **Real-time telemetry overlay** — altitude mapping, speed-vector visualization, and a traction readout derived from screen capture and optical-flow analysis. - **Gear-ratio optimization** — shift suggestions based on gradient angle, surface roughness and momentum, compared against a described baseline dataset. - **Predictive fuel modeling** — estimates remaining climb distance from fuel burn rate and models possible trajectories. - **Historical run comparison** — local storage of recent runs, failure heatmaps, and a "ghost driver" view of best performances. - **Multilingual interface** — English, German, Japanese, Spanish, Portuguese, Turkish and Simplified Chinese, with an offline locale pack. ## Stated requirements and layout The README lists Windows 10, macOS 12 or Ubuntu 22.04, Python 3.10+, 4 GB RAM (8 GB recommended), 720p+ capture resolution and 500 MB of storage. It describes a structure with `core/` (telemetry, physics, predictor, localizer), `ui/` (HTML dashboard, SVG gauges, themes), `data/` (SQLite shift patterns, terrain profiles), `docs/`, and `tests/`. Third-party dependencies are named as `opencv-python`, `numpy` and `jinja2`. Installation is described narratively: download an archive, verify a SHA-256 checksum, unpack, create a virtual environment, run `python main.py --init`, then complete a calibration run. ## Privacy and licensing statements The README says all data stays local, that the tool makes no network calls, and that it does not touch protected memory or bypass anti-tamper measures. It states the project is released under the MIT License and includes a disclaimer that it is unaffiliated with any commercial racing-game developer. ## Points to verify before use - The README contains no source code, no release notes and no verifiable test output; the coverage and timeline tables are assertions, not evidence. - The download link points to a GitHub Pages address rather than a repository release, which is unusual for an open-source project and worth inspecting carefully. - The advertised "infinite coins and gems" capability is not described anywhere in the README, so the actual functionality of any distributed file is unclear. - Because the project is presented as a game-modification tool, check the target game's terms of service and review any downloaded archive before running it. In short: the documentation describes a screen-observation analytics companion for hill-climb racing games, while the repository's own name and description promise a save editor. Treat the two descriptions as unreconciled until the code itself is inspected.