Borrowing it
Nothing to install: this file belongs to taskhub-sh/terminal-driver-mcp. 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/taskhub-sh/terminal-driver-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/taskhub-sh/terminal-driver-mcpWrote 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/taskhub-sh/terminal-driver-mcp/claude-md)<a href="https://agentmods.dev/instructions/taskhub-sh/terminal-driver-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/taskhub-sh/terminal-driver-mcp/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/taskhub-sh/terminal-driver-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/taskhub-sh/terminal-driver-mcp/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 | $0.00637 | $0.00637 |
| Opus 5.5 | $0.00255 | $0.00255 |
| Sonnet 5.5 | $0.00127 | $0.00127 |
| Haiku 4.5 | $0.00064 | $0.00064 |
Grade A, and why
terminal-driver-mcp 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 — 59 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
This is the Terminal Control MCP server - a Model Context Protocol server that enables AI agents to interact with terminal-based TUI applications through a virtual X11 display approach using Xvfb, xterm, xdotool, and ImageMagick for PNG screenshot capture.
Development Commands
- Run main application:
python main.py - Run example:
python examples/example_htop.py(demonstrates full xterm session with htop) - Package management: Uses
uvpackage manager withpyproject.tomlconfiguration - Virtual environment:
.venv/directory (activate withsource .venv/bin/activate)
Architecture
Core Components
-
XTermSession Class (
examples/example_htop.py): Reference implementation showing the complete terminal control pattern- Virtual X11 display management using Xvfb
- xterm process spawning with custom geometry and styling
- Window ID detection using multiple xdotool search strategies
- Input simulation via xdotool (keyboard and text)
- PNG screenshot capture using ImageMagick
importcommand
-
System Dependencies: Requires Xvfb, xterm, xdotool, ImageMagick for headless terminal operation
-
MCP Server Structure (planned):
- FastMCP-based server implementation
- Tools:
terminal_launch,terminal_input,terminal_capture,terminal_close - PNG screenshot output with base64 encoding for MCP responses
Implementation Pattern
The system uses a virtual X11 display approach rather than direct TTY manipulation:
- Xvfb creates headless virtual display (
:99default) - xterm launches within virtual display with configurable geometry
- xdotool provides reliable input simulation and window management
- ImageMagick captures actual PNG screenshots showing real terminal output
Key Technical Details
- Window ID Detection: Multiple fallback strategies in
get_window_id()method - Input Methods:
send_key()for special keys,send_text()for alphanumeric input - Resource Management: Proper cleanup of Xvfb and xterm processes with timeout handling
- Screenshot Capture: Uses
import -window root filename.pngfor full display capture
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 · 59 lines · 637 tokens per session scan A 782bcf833e66
terminal-driver-mcp CLAUDE.md is an instructions file published in the GitHub repository taskhub-sh/terminal-driver-mcp (2 stars, last pushed 1y ago), licensed Apache-2.0. It adds 637 tokens to every session, about $0.0025 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.
terminal-driver-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| terminal-driver-mcp CLAUDE.mdtaskhub-sh/terminal-driver-mcp | Instructions file | 2 | 1y ago | Apache-2.0 | A | 637 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |