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agi-term-helperAGI 术语助手

Agent Skill

agi-term-helper 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

25,707

周安装

1,093

GitHub Stars

公开资料未说明

下载量

9,006
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:agi-term-helper(AGI 术语助手)
来源仓库:https://github.com/liuwujijay/agi-term-helper
安装命令:
openclaw skills install agi-term-helper
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 agi-term-helper

简介

通过 OpenClaw exec 快速、明确的终端执行(直接调度;您键入确切的命令)。

SKILL.md

name
term
description
Fast, explicit terminal execution via OpenClaw exec (direct dispatch; you type the exact command).
user-invocable
true
disable-model-invocation
true
command-dispatch
tool
command-tool
exec
command-arg-mode
raw
metadata
{ "openclaw": { "emoji": "🧰", "os": ["darwin","linux","win32"] } }

/term — direct terminal execution (exec dispatch)

/term is a power-user shortcut: whatever you type after /term is forwarded as-is to OpenClaw’s exec tool.

This is intentionally *“manual mode”*:

  • You (the user) provide the exact shell command.
  • OpenClaw does not rewrite, expand, or “helpfully” change it.
  • It’s useful when you want quick, deterministic terminal actions without a planning loop.

How dispatch works (important)

OpenClaw supports command-dispatch: tool skills. When you run:

  • /term ls -la

the raw argument string (ls -la) is forwarded to the configured tool (exec) without extra parsing. In tool-dispatch mode, OpenClaw invokes the tool with params shaped like:

{ command: "<raw args>", commandName: "<slash command>", skillName: "<skill name>" }

See the Skills docs section on command-dispatch, command-tool, and command-arg-mode. :contentReference[oaicite:10]{index=10}

When to use /term vs normal “agent runs”

Use /term when:

  • You already know the exact command you want.
  • You want a quick read-only check (files, git status, grep).
  • You are debugging OpenClaw itself (skills folder, logs, Peekaboo bridge status).

Prefer normal agent flow when:

  • You want the model to decide the best approach.
  • The task may need multiple steps, safety checks, or file edits.

Safety model (read this once, then follow it)

/term is equivalent to letting an assistant type into your terminal. Good defaults:

1) Prefer read-only commands unless you *mean* to change state. 2) Avoid secrets in command lines (tokens, API keys, cookies). 3) Avoid remote execution one-liners: - no curl ... | sh - no “download and execute” pipelines 4) If the command could delete or overwrite files, slow down and double-check paths.

Host + sandbox notes

Your actual execution environment depends on how you invoke exec in your setup (sandbox vs host). Also note: when a session is sandboxed, environment variables are not automatically inherited by the container; you must inject them via sandbox env settings or bake them into the image. :contentReference[oaicite:11]{index=11}

Practical examples

Quick inspection (safe, read-only)

  • /term pwd
  • /term ls -la
  • /term git status
  • /term rg -n "TODO|FIXME" .

Debug Peekaboo bridge discovery (macOS)

  • /term peekaboo bridge status --verbose

If the output shows “no such file or directory” for all candidates and “Selected: local (in-process)”, you likely have no bridge host running (see troubleshooting below).

One-liners for structured output

If you want JSON output for parsing:

  • /term python -c 'import json,platform; print(json.dumps({"py":platform.python_version()}))'

Troubleshooting

“command not found”

The tool runs in whatever PATH your OpenClaw runtime provides. If you rely on Homebrew, ensure the runtime sees /opt/homebrew/bin.

“permission denied” / macOS privacy prompts

Some tools (screen capture / UI automation) require Screen Recording / Accessibility. Those permissions are per-process context on macOS; using PeekabooBridge is often the reliable path for automation.

I need richer guidance and guardrails

Install/use the companion skill terminal-helper (model-invocable) which teaches safe patterns, confirmations, and runbooks.

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

84.8%
按下载量换算7,637

安全审计

VirusTotal

可疑

ClawScan

通过

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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