my_claude_code_setting: Instructions file for Claude Code

CLAUDE.md

my_claude_code_setting CLAUDE.md is an instructions file for Claude Code from workdd/my_claude_code_setting. It costs 1,420 tokens per session, scanned A, original, Apache-2.0.

A guide to a development environment containing Python and Node.js projects, cloud tools, containers, and AI coding tools.

In plain words
What is it for?
It is for navigating the user's projects, choosing project-specific Python environments, and understanding the available shell, cloud, container, and AI tooling.
Why use it?
It tells a coding agent where important projects and tools are located and how the environment is configured.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

This is workdd/my_claude_code_setting's own configuration. It tells Claude Code how to work on my_claude_code_setting 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 my_claude_code_setting configures →

Reuse

Borrowing it

Nothing to install: this file belongs to workdd/my_claude_code_setting. 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/workdd/my_claude_code_setting/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/workdd/my_claude_code_setting

Made for: Claude Code.

Wrote this? Show the measurements

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Per session 1,420 This file is loaded in full into every session.
When invoked 1,420 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 $0.01420 $0.01420
Opus 5.5 $0.00568 $0.00568
Sonnet 5.5 $0.00284 $0.00284
Haiku 4.5 $0.00142 $0.00142

Measured 2mo ago against content hash 3f5982afc617, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

my_claude_code_setting 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 2mo 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.

CLAUDE.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 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.

Environment Overview

This is a user home directory containing multiple projects and development tools rather than a single codebase. The environment includes:

  • Python development: PyCharm projects, conda, pyenv, various Python tools
  • Node.js development: npm, nvm, node modules
  • Cloud services: AWS CLI, Google Cloud SDK, Terraform
  • Container tools: Docker, Colima, Minikube, Kubernetes
  • AI/ML tools: Various LLM clients (.claude, .cursor, .continue, .gemini, .codex)

Key Project Directories

  • PycharmProjects/ - Python projects
  • ml-coding-test-prep/ - Machine learning coding practice
  • langfuse/ - LangFuse project directory
  • research-infrastructure/ - Research infrastructure code

Development Environment Setup

Shell Configuration

  • Primary shell: zsh (.zshrc)
  • Bash configuration available (.bash_profile)
  • Multiple PATH configurations for Python (pyenv), Node.js (nvm), and cloud CLIs

Python Environment

  • Multiple Python version managers: conda, pyenv
  • Virtual environments should be used per project
  • Common ML libraries appear to be installed (matplotlib, nltk, paddleocr, EasyOCR)

Node.js Environment

  • Managed via nvm
  • npm available for package management
  • Check individual project directories for package.json

Cloud and Infrastructure

  • AWS CLI configured (.aws/)
  • Google Cloud SDK installed in ~/google-cloud-sdk/
  • Kubernetes tools: kubectl, minikube (.minikube/)
  • Terraform available (.terraform.d/)

Working with Projects

When asked to work on code, always:

  1. Identify which project directory contains the relevant code
  2. Navigate to that project directory to find project-specific build/test commands
  3. Look for project-specific configuration files (package.json, requirements.txt, Makefile, etc.)
  4. Check for project-specific README files within those directories

Token Optimization Guidelines

Read the full file on GitHub · 156 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. 2mo ago First seen · 156 lines · 1,420 tokens per session scan A 3f5982afc617

Subscribe to this mod's changes

my_claude_code_setting CLAUDE.md is an instructions file published in the GitHub repository workdd/my_claude_code_setting (6 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 1,420 tokens to every session, about $0.0057 per session on Opus 5.5. 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 2026-08-31.

Related

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