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clawshellclawshell 开发

Agent Skill

clawshell 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。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

92,725

周安装

3,751

GitHub Stars

7

下载量

29,108
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:clawshell(clawshell 开发)
来源仓库:https://github.com/polucas/clawshell
安装命令:
openclaw skills install clawshell
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 clawshell

简介

clawshell 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中维护前端项目时使用。

  • 适用于人机交互安全层构建、高风险命令拦截与推送通知审批等开发场景。
  • 通过 clawhub 安装后,可结合原始 README 了解命令过滤规则与审批流程。
  • 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操作。
  • 该技能专为 OpenClaw 宿主设计,便于在开发环境中增强操作安全性。

SKILL.md

name
clawshell
description
Human-in-the-loop security layer. Intercepts high-risk commands and requires push notification approval.
version
0.1.0
metadata
openclaw
requires
bins
["node"]
env
["CLAWSHELL_PUSHOVER_USER", "CLAWSHELL_PUSHOVER_TOKEN"]
primaryEnv
CLAWSHELL_PUSHOVER_USER
tags
[security, approval, sandbox]

ClawShell

Human-in-the-loop security layer for OpenClaw. ClawShell intercepts shell commands before execution, analyzes their risk level, and requires your explicit approval (via push notification) for dangerous operations.

How it works

  1. The agent calls clawshell_bash instead of bash
  2. ClawShell analyzes the command against built-in and configurable risk rules
  3. Based on risk level:

- Critical (e.g. rm -rf /, fork bombs) — automatically blocked - High (e.g. rm -rf, curl to external URLs, credential access) — sends a push notification and waits for your approval - Medium (e.g. npm install, git push) — logged and allowed - Low (e.g. ls, cat, git status) — allowed

  1. All decisions are logged to logs/clawshell.jsonl

Tools

clawshell_bash

Secure replacement for bash. Analyzes command risk and executes only if safe or approved.

Parameters:

  • command (string, required) — The shell command to execute
  • workingDir (string, optional) — Working directory (defaults to cwd)

Returns: { exitCode, stdout, stderr }

High-risk commands will block until you approve or reject via push notification. Critical commands are rejected immediately.

clawshell_status

Returns current ClawShell state: pending approval requests and recent decisions.

Parameters: none

clawshell_logs

Returns recent log entries for audit and debugging.

Parameters:

  • count (number, optional) — Number of entries to return (default: 20)

Setup

1. Install dependencies

cd /app/workspace/skills/clawshell
npm install

2. Configure Pushover notifications

Create a Pushover application at https://pushover.net/apps/build and add your keys to .env:

CLAWSHELL_PUSHOVER_USER=your-user-key
CLAWSHELL_PUSHOVER_TOKEN=your-app-token

Alternatively, configure Telegram instead:

CLAWSHELL_TELEGRAM_BOT_TOKEN=your-bot-token
CLAWSHELL_TELEGRAM_CHAT_ID=your-chat-id

3. Add to TOOLS.md

Add the following to your OpenClaw TOOLS.md so the agent uses ClawShell for shell commands:

## Shell Access

Use `clawshell_bash` for ALL shell command execution. Do not use `bash` directly.
ClawShell will analyze commands for risk and require human approval for dangerous operations.

Available tools:
- `clawshell_bash(command, workingDir)` — Execute a shell command with risk analysis
- `clawshell_status()` — Check pending approvals and recent decisions
- `clawshell_logs(count)` — View recent audit log entries

Configuration

ClawShell reads configuration from environment variables (CLAWSHELL_*) with fallback to config.yaml.

VariableDefaultDescription
CLAWSHELL_PUSHOVER_USERPushover user key
CLAWSHELL_PUSHOVER_TOKENPushover app token
CLAWSHELL_TELEGRAM_BOT_TOKENTelegram bot token (alternative)
CLAWSHELL_TELEGRAM_CHAT_IDTelegram chat ID (alternative)
CLAWSHELL_TIMEOUT_SECONDS300Seconds to wait for approval before auto-reject
CLAWSHELL_LOG_DIRlogs/Directory for JSONL log files
CLAWSHELL_LOG_LEVELinfoLog verbosity: debug, info, warn, error
CLAWSHELL_BLOCKLISTComma-separated extra blocked commands
CLAWSHELL_ALLOWLISTComma-separated extra allowed commands

Custom rules can also be defined in config.yaml under rules.blocklist and rules.allowlist using exact strings, globs, or regex patterns.

Limitations

  • Not a security guarantee. LLMs can encode, split, or obfuscate commands to bypass pattern matching.
  • Defense-in-depth only. Use alongside OpenClaw's sandbox mode, not as a replacement.
  • Approval latency. High-risk commands block execution until you respond or the timeout expires.
Always ask your AI to scan any skill or software for security risks.

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

按任务关键词查找相关 Skills

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

70.63%
按下载量换算20,559

安全审计

VirusTotal

通过

ClawScan

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

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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