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Pyccsl

Development community intermediate

Description

[](https://www.python.org/) [](LICENSE) [](https://github.com/wolfdenpublishing/pyccsl/releases) [](pyccsl.py) [](pyccsl.py)

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

🎯 pyCCsl - Python Claude Code Status Line

[](https://www.python.org/) [](LICENSE) [](https://github.com/wolfdenpublishing/pyccsl/releases) [](pyccsl.py) [](pyccsl.py)

**pyCCsl** (pronounced "pixel") - An information-rich status line for Claude Code

*Real-time metrics • Cost tracking • Git status • Token usage • 9 themes • Zero dependencies*

📖 **[User Guide](pyccsl.md)** | 🔗 **[GitHub](https://github.com/wolfdenpublishing/pyccsl)** | 📝 **[Issues](https://github.com/wolfdenpublishing/pyccsl/issues)**


Features

Implementation

  • Single Python file (~1000 lines)
  • No external dependencies
  • Python 3.8+ standard library only
  • Embedded Anthropic pricing data

Performance Metrics

  • Cache hit rate tracking
  • Response time analysis
  • Token generation speed
  • Session duration monitoring

Customization

  • 9 color themes
  • 5 separator styles
  • Optional emoji display
  • Configurable field selection

Token & Cost Analysis

  • Input token breakdown (base, cache_write, cache_read)
  • Output token counting
  • Real-time cost calculation
  • Context size tracking

Selected Themes

Default

Dracula

Nord

Catppuccin

Tokyo Night

Minimal


Display Options

Performance Metrics Display

All performance metrics in a single view:

Shows cache hit rate, response time, session duration, token generation speed, and message count.

Token Usage Breakdown

Detailed token analysis with tuple format:

Input tokens displayed as (base, cache_write, cache_read) for complete visibility into token usage.

Separator Styles

Five different separator options:

Available styles: powerline (requires compatible fonts), simple, arrows, pipes, dots.

Performance Badge Indicators

Four-level performance indicator:

  • ●○○○ = High cache usage, fast responses
  • ○●○○ = Moderate cache, acceptable response times
  • ○○●○ = Low cache usage, slower responses
  • ○○○● = Minimal cache usage, slow responses

...