Borrowing it
Nothing to install: this file belongs to okuvshynov/cubestat. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/okuvshynov/cubestat/main/CLAUDE.mdgit clone --depth 1 https://github.com/okuvshynov/cubestatWrote 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.
[](https://agentmods.dev/instructions/okuvshynov/cubestat/claude-md)<a href="https://agentmods.dev/instructions/okuvshynov/cubestat/claude-md"><img src="https://agentmods.dev/badge/instructions/okuvshynov/cubestat/claude-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.
<a href="https://agentmods.dev/instructions/okuvshynov/cubestat/claude-md"><img src="https://agentmods.dev/badge/instructions/okuvshynov/cubestat/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01639 | $0.01639 |
| Opus 5 | $0.00820 | $0.00820 |
| Sonnet 5 | $0.00328 | $0.00328 |
| Haiku 4.5 | $0.00164 | $0.00164 |
Grade A, and why
cubestat CLAUDE.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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Commands
- Install:
pip install -e .orpip install -e .[cuda]for NVIDIA GPU support - Install dev dependencies:
pip install -r requirements-dev.txt - Run tests:
python -m unittest discover - Run single test:
python -m unittest cubestat.tests.test_data_manager - Type check:
mypy cubestat - Lint:
ruff check cubestat - Format:
ruff format cubestat - Run TUI mode:
python -m cubestat.cubestat - Run CSV export:
python -m cubestat.cubestat --csv - Run with HTTP server:
python -m cubestat.cubestat --http-port 8080 - Run with HTTP server on specific host:
python -m cubestat.cubestat --http-port 8080 --http-host 0.0.0.0 - Run with Prometheus metrics export:
python -m cubestat.cubestat --prometheus-port 9090 - Run with both HTTP and Prometheus:
python -m cubestat.cubestat --http-port 8080 --prometheus-port 9090
Code Style
- File/function/variable naming: snake_case (e.g.,
data_manager.py,get_metrics) - Class naming: CamelCase for primary classes (e.g.,
DataManager), snake_case for metrics - Add type hints to all new code and when refactoring existing code
- Imports: standard library first, then project imports
- Metrics Architecture: Use collector/presenter pattern (see Architecture section below)
- Metric Naming: Use standardized
component.type.instance.attribute.unitformat - Platform-specific implementations in separate modules
- Error handling: Use try/except blocks with specific exceptions and logging
- Documentation: Add docstrings in Google style format to all functions and classes
- Logging: Use the logging module instead of print statements
- Support cross-platform (macOS, Linux) when implementing features
- Main entry point is
cubestat.cubestat:main
Architecture
Collector/Presenter Pattern
All metrics follow the simplified collector/presenter architecture with standardized naming:
Collectors (cubestat/collectors/):
- Responsible for data collection from system APIs
- Platform-specific implementations (e.g.,
MacOSCPUCollector,LinuxCPUCollector) - Return standardized metric names:
component.type.instance.attribute.unit - Handle platform differences (psutil vs system context vs /proc files)
- Double-write pattern: Update both return dict and Prometheus gauges simultaneously
- Initialize Prometheus
Gaugemetrics in constructor with appropriate labels
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.
- 10d ago First seen · 149 lines · 1,639 tokens per session scan A 9cad541e9d06
cubestat CLAUDE.md is an instructions file published in the GitHub repository okuvshynov/cubestat (28 stars, last pushed 8mo ago), licensed MIT. It adds 1,639 tokens to every session, about $0.0082 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 2026-08-30.
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