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Agent Skill · 研究检索

terminal-killer(终端杀手)

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。

terminal-killer 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,445。

总安装 25,875周安装 1,089GitHub Stars 1下载 9,060核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.2.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install terminal-killer;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

terminal-killer 怎么安装?

在终端执行 openclaw skills install terminal-killer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

terminal-killer 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

terminal-killer 需要什么权限?

权限级别是接触敏感数据。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。

terminal-killer 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

terminal-killer 用的人多吗?

公开数据是累计安装 25,875 次,近一周安装 1,089 次,下载 9,060 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

terminal-killer 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
terminal-killer

终端杀手 · 本页

25,8751接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

平台分布

OpenClaw

89.16%
按下载量换算8,078

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

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

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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