Borrowing it
Nothing to install: this file belongs to eviltik/docker-tui. 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/eviltik/docker-tui/main/CLAUDE.mdgit clone --depth 1 https://github.com/eviltik/docker-tuiWrote 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/eviltik/docker-tui/claude-md)<a href="https://agentmods.dev/instructions/eviltik/docker-tui/claude-md"><img src="https://agentmods.dev/badge/instructions/eviltik/docker-tui/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/eviltik/docker-tui/claude-md"><img src="https://agentmods.dev/badge/instructions/eviltik/docker-tui/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 | $0.03118 | $0.03118 |
| Opus 5.5 | $0.01247 | $0.01247 |
| Sonnet 5.5 | $0.00624 | $0.00624 |
| Haiku 4.5 | $0.00312 | $0.00312 |
Grade A, and why
docker-tui 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.
How it starts
The opening of the file, as written. The whole thing — 268 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.
Project Overview
Docker TUI is a Terminal User Interface application for managing Docker containers, built with Go and Bubbletea (The Elm Architecture framework). It provides real-time container monitoring, multi-select operations, CPU usage tracking, live log streaming with colored backgrounds, regex-based filtering, and a demo mode for presentations.
Build and Development Commands
# Build for current platform
make build # Creates ./docker-tui binary
# Run without building
make run # Executes: go run ./src
# Run tests
make test # Executes: go test -v ./src/...
# Format code
make fmt # Executes: go fmt ./src/...
# Clean artifacts
make clean # Removes ./docker-tui and dist/
# Cross-platform builds
make dist-all # Builds for Linux (amd64/arm64), macOS (amd64/arm64), Windows
Architecture: Elm Architecture (Bubbletea)
The application follows Bubbletea's Elm Architecture pattern with three core components:
Model (state)
Located in src/model.go, the model struct contains all application state:
- Docker client and container list
- Selection state (
selectedmap,cursorposition) - View mode (
listView,logsView,confirmView,exitConfirmView,mcpLogsView) - Processing state for async operations
- CPU statistics tracking (current + 10-value history)
- CPUStatsCache instance (
cpuCache) for instant MCP responses (shared with MCPServer) - LogBroker instance (
logBroker) for centralized log streaming management - RateTracker instance (
rateTracker) for L/S (lines/second) monitoring - BufferConsumer instance (
bufferConsumer) for logs view circular buffering - MCPServer instance (
mcpServer) for Claude Desktop integration - Filter state (
filterMode,filterInput,filterActive,filterRegex,filterIsRegex) - Demo mode flag (
demoMode) for hiding container name prefixes - Closing flag (
closing atomic.Bool) for graceful shutdown coordination
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.
- 2mo ago First seen · 268 lines · 3,118 tokens per session scan A 943879284c4d
docker-tui CLAUDE.md is an instructions file published in the GitHub repository eviltik/docker-tui (5 stars, last pushed 7mo ago), licensed MIT. It adds 3,118 tokens to every session, about $0.0125 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.
docker-tui CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| docker-tui CLAUDE.mdeviltik/docker-tui | Instructions file | 5 | 7mo ago | MIT | A | 3,118 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |