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terminal-killer终端杀手

Agent Skill

terminal-killer 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

25,875

周安装

1,089

GitHub Stars

1

下载量

9,060
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:terminal-killer(终端杀手)
来源仓库:https://github.com/cosperypf/terminal-killer
安装命令:
openclaw skills install terminal-killer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install terminal-killer

简介

terminal-killer 用于智能识别和执行终端命令。

  • 适合在 OpenClaw 中需要自动检测 $PATH 命令和历史匹配时使用。
  • 它能区分系统内置命令和可执行文件类型。
  • 使用前需确认是否允许访问命令历史和环境变量。
  • 执行危险命令时会弹出二次确认对话框。terminal-killer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
terminal-killer
description
Intelligent shell command detector and executor for OpenClaw. Automatically identifies terminal commands (system builtins, $PATH executables, history matches, command patterns) and executes directly without LLM overhead. Cross-platform support (macOS/Linux/Windows). Use when user input appears to be a shell command to skip AI processing and run immediately.
author
Cosper
contact
cosperypf@163.com

Terminal Killer

🚀 Smart command router that executes shell commands directly, bypassing LLM for instant terminal operations.

Quick Start

Terminal Killer automatically activates when user input matches command patterns. No special syntax needed — just type commands naturally:

ls -la              # → Direct exec
git status          # → Direct exec  
npm install         # → Direct exec
"help me code"      # → LLM handles normally

How It Works

Detection Pipeline

User Input → Command Detector → Decision
                                      ├── Command → exec (direct)
                                      └── Task → LLM (normal)

Environment Loading

Terminal Killer automatically loads your shell environment before executing commands:

  1. Detects your shell (zsh, bash, etc.)
  2. Sources init files (~/.zshrc, ~/.bash_profile, ~/.bashrc, etc.)
  3. Inherits full PATH - including custom paths like Android SDK, Homebrew, etc.
  4. Preserves environment variables - all your export VAR=value settings

This ensures commands like adb, kubectl, docker, etc. work exactly as they do in your terminal!

Detection Rules (in order)

  1. System Builtins - Check against OS-specific builtin commands
  2. PATH Executables - Scan $PATH for matching executables
  3. History Match - Compare against recent shell history
  4. Command Pattern - Heuristic analysis (operators, paths, etc.)
  5. Confidence Score - Combine signals for final decision

Detection Details

1. System Builtins

Checks input against known builtin commands for the current OS:

macOS/LinuxWindows (PowerShell)Windows (CMD)
cd, pwd, lscd, pwd, lscd, dir, cls
echo, catecho, catecho, type
mkdir, rm, cpmkdir, rm, cpmkdir, del, copy
grep, findgrep, findfindstr
git, npm, nodegit, npm, nodegit, npm, node

See references/builtins/ for complete lists.

2. PATH Executable Check

Scans $PATH directories to verify if the first word is an executable:

# Uses `which` (Unix) or `Get-Command` (PowerShell)
which <command>    # Returns path if exists

3. History Matching

Compares input against recent shell history (~/.zsh_history, ~/.bash_history, PowerShell history):

  • Exact match → High confidence
  • Similar prefix → Medium confidence
  • No match → Continue checking

4. Command Pattern Analysis

Heuristic scoring based on command characteristics:

PatternScoreExample
Starts with known command+3git status
Contains shell operators+2`lsgrep`
Contains path references+2cd ~/projects
Contains flags/args+1npm install --save
Contains $ variables+2echo $HOME
Contains redirection+2cat file > out
Looks like natural language-3"please help me"
Contains question marks-2"how do I...?"

5. Confidence Threshold

Score >= 5  → EXECUTE (high confidence command)
Score 3-4   → ASK (uncertain, confirm with user)
Score < 3   → LLM (likely a task/request)

Usage

Automatic Activation

Terminal Killer triggers automatically when:

  • User input starts with a verb-like word
  • Input is short (< 20 words typically)
  • No question words (what, how, why, etc.)

Interactive Commands

Terminal Killer automatically detects and handles interactive shell commands:

Detected Patterns:

  • adb shell - Opens new terminal with adb shell
  • ssh user@host - Opens SSH session in new window
  • docker exec -it container bash - Opens container shell
  • mysql -u root -p - Opens MySQL client
  • python, node, bash - Opens REPL in new window

Behavior:

  • ✅ Automatically opens new Terminal window (macOS)
  • ✅ Loads your full shell environment (~/.zshrc, etc.)
  • ✅ Keeps main session free for other tasks

Manual Override

Force command execution:

!ls -la          # Force exec even if uncertain

Force LLM handling:

?? explain git   # Force LLM even if looks like command

Safety Features

Dangerous Command Detection

Automatically flags potentially dangerous operations:

  • rm -rf / or similar destructive patterns
  • sudo commands (requires explicit approval)
  • dd, mkfs, chmod 777
  • Network operations to suspicious hosts
  • Commands modifying system files

Approval Workflow

Dangerous command detected!

Command: rm -rf ./important-folder
Risk: HIGH - Recursive delete

[Approve] [Deny] [Edit]

Audit Logging

All executed commands are logged to:

~/.openclaw/logs/terminal-killer.log

Log format:

{
  "timestamp": "2026-02-28T12:00:00Z",
  "command": "ls -la",
  "confidence": 8,
  "execution_time_ms": 45,
  "output_lines": 12,
  "status": "success"
}

Configuration

Settings

Add to your OpenClaw config:

terminal-killer:
  enabled: true
  confidence_threshold: 5
  require_approval_for:
    - "rm -rf"
    - "sudo"
    - "dd"
    - "mkfs"
  log_executions: true
  max_history_check: 100  # How many history entries to check

Platform Detection

Automatically detects OS and adjusts detection rules:

# Auto-detected at runtime
uname -s  # Darwin, Linux, etc.

Implementation

Core Script

See scripts/detect-command.js for the main detection logic.

Helper Scripts

  • scripts/check-path.js - Verify executable in PATH
  • scripts/check-history.js - Match against shell history
  • scripts/score-command.js - Calculate confidence score
  • scripts/safety-check.js - Detect dangerous patterns

Testing

See references/TESTING.md for comprehensive test guide.

Quick test:

# Run the test suite
node scripts/test-detector.js

# Test specific commands
node scripts/detect-command.js "ls -la"
node scripts/detect-command.js "help me write code"

Limitations

  • Requires shell access (won't work in sandboxed environments)
  • History check needs read access to shell history files
  • Windows support requires PowerShell or WSL for full functionality
  • Some commands may have false positives (natural language that looks like commands)

Contributing

To add new builtin commands for your platform:

  1. Edit references/builtins/<platform>.txt
  2. Test with scripts/test-detector.js
  3. Submit PR with platform verification

👤 About the Creator

Author: Cosper Contact: cosperypf@163.com License: MIT

📬 Get in Touch

Interested in this skill? Have suggestions, bug reports, or want to collaborate?

  • 📧 Email: cosperypf@163.com
  • 💡 Suggestions: Always welcome!
  • 🐛 Bug Reports: Please include platform, OpenClaw version, and example inputs
  • 🤝 Collaboration: Open to contributions and improvements

🙏 Acknowledgments

Built for the OpenClaw community. Thanks to everyone contributing to the ecosystem!


📝 Changelog

v1.1.0 (2026-02-28)

🎯 Core Improvements:

  1. ✅ Faithful Command Execution

- Commands are executed exactly as input - No modifications, no optimizations, no additions - Raw output preserved (including progress bars, special characters, etc.)

  1. 🪟 Interactive Shell Detection

- Automatically detects interactive commands (adb shell, ssh, docker exec -it, etc.) - Opens new Terminal window for interactive sessions - Keeps main session free for other tasks - Loads full shell environment (~/.zshrc, etc.)

  1. 📜 Long Output Handling

- Detects output longer than 2000 bytes - Shows 200-character preview - Prompts user to open in new Terminal window - Prevents interface rendering issues with long content

📦 Files Updated:

  • scripts/index.js - Long output detection + interactive command handling
  • scripts/interactive.js - New Terminal window opener
  • SKILL.md - Updated documentation
  • README.md - Usage examples
  • clawhub.json - Version bump to 1.1.0

v1.0.0 (2026-02-28)

Initial Release:

  • Smart command detection (system builtins, PATH, history, patterns)
  • Cross-platform support (macOS/Linux/Windows)
  • Environment variable loading (~/.zshrc, etc.)
  • Dangerous command detection
  • Confidence scoring system

Version: 1.1.0 Created: 2026-02-28 Last Updated: 2026-02-28

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.16%
按下载量换算8,078

安全审计

VirusTotal

可疑

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可疑

Static analysis

未展示

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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来源信息

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