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Agent Skill · 研究检索

agi-terminal-helper(agi 终端助手)

agi-terminal-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。

agi-terminal-helper 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 5,206。

总安装 27,166周安装 1,155GitHub Stars 公开资料未说明下载 9,517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
1.0.2

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-terminal-helper(agi 终端助手)
来源仓库:https://github.com/liuwujijay/agi-terminal-helper
安装命令:
openclaw skills install agi-terminal-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-terminal-helper

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。

安全使用 OpenClaw exec 的实用运行手册(沙箱优先、显式确认和调试手册)。

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 agi-terminal-helper;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

agi-terminal-helper 怎么安装?

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

agi-terminal-helper 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。

agi-terminal-helper 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。

agi-terminal-helper 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。

agi-terminal-helper 用的人多吗?

公开数据是累计安装 27,166 次,近一周安装 1,155 次,下载 9,517 次。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。

agi-terminal-helper 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
agi-terminal-helper

agi 终端助手 · 本页

27,166—接触敏感数据MIT-0通过

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-helper
description
A practical runbook for using OpenClaw exec safely (sandbox-first, explicit confirmations, and debugging playbooks).
user-invocable
true
disable-model-invocation
false
metadata
{ "openclaw": { "emoji": "🖥️", "os": ["darwin","linux","win32"] } }

Terminal Helper — a runbook for OpenClaw exec

This skill is not a “generic terminal tips” template. It’s a concrete runbook for how to use OpenClaw’s exec tool effectively in a real workspace (like your /Users/.../clawd workspace), with attention to:

  • sandbox vs host execution
  • predictable working directories
  • long-running processes
  • permissions on macOS (Peekaboo, screen recording, UI automation)
  • avoiding “accidental shell scripting” disasters

OpenClaw skills are loaded from bundled skills, ~/.openclaw/skills, and <workspace>/skills with workspace taking precedence. :contentReference[oaicite:12]{index=12}

Operating principles (what I will do every time)

1) State the intent + the exact command before running it

Before calling exec, I will say:

  • what the command is intended to do
  • what directory it will run in
  • what files it might read/write
  • what output I expect (so we can spot anomalies)

2) Default to read-only exploration

When debugging or orienting:

  • pwd, ls -la, git status, rg, cat, head, tail
  • only escalate to writes/installs after we know what’s going on

3) Prefer sandboxed execution for untrusted or high-churn work

Use the sandbox for:

  • tests, builds, dependency installs
  • exploring unknown repos
  • running scripts from third-party sources

Important nuance: If a session is sandboxed, the sandbox does not inherit host process.env. Global env and skills.entries.<skill>.env/apiKey apply to host runs only; sandbox env must be set separately. :contentReference[oaicite:13]{index=13}

4) Explicit confirmation for anything risky

I will require the user to confirm before:

  • deleting or overwriting files
  • installing system-level packages
  • touching ~/.ssh, keychains, browser profiles
  • changing network/system settings
  • running privileged commands (sudo, launchctl changes)

Execution patterns (the “how”)

A) Choose a working directory deliberately

When diagnosing OpenClaw itself, I’ll work inside your workspace (example: /Users/proman/clawd) and be explicit about it.

Typical commands:

  • check skills:

- ls -la ./skills - find ./skills -maxdepth 2 -name SKILL.md -print

  • check git state:

- git status (if the workspace is a git repo)

  • verify binaries:

- which peekaboo || echo "peekaboo not on PATH"

B) Keep commands single-purpose

Prefer multiple small commands over one “do everything” pipeline. This makes it easier to review and safer to approve.

C) Long-running commands: background + poll

When supported, run with a short yield and then poll a process session.

Examples you can adapt:

  • start a long build:

- exec: make test (with a short yield)

  • poll until completion:

- process: poll (using the returned session id)

(Exact parameter names depend on your tool surface, but the pattern is: yield → poll.)

Practical playbooks

Playbook 1: “My skill isn’t loading”

1) Confirm skill location/precedence: - OpenClaw loads <workspace>/skills and that wins precedence. :contentReference[oaicite:14]{index=14} 2) Verify the skill folder has SKILL.md and valid frontmatter. 3) If you changed files, ensure watcher is enabled: - skills.load.watch: true is the default pattern. :contentReference[oaicite:15]{index=15}

Playbook 2: “Peekaboo works in Terminal but fails in OpenClaw”

This is usually macOS TCC context + daemon behavior. A common fix is enabling PeekabooBridge in OpenClaw.app:

  • Settings → Enable Peekaboo Bridge :contentReference[oaicite:16]{index=16}

Then validate:

  • peekaboo bridge status --verbose should select a host (OpenClaw.app) rather than local (in-process). :contentReference[oaicite:17]{index=17}

Playbook 3: “ClawHub sync rejects my skill docs”

ClawHub has a quality gate (language-aware word counting and heuristics) that rejects docs that are too thin/templated. :contentReference[oaicite:18]{index=18} Fix by adding:

  • concrete examples
  • troubleshooting
  • environment notes (sandbox, PATH, permissions)
  • “what/why/when/how” that is clearly specific to the skill

What I will NOT do

  • I will not run remote “install scripts” (e.g., curl | sh) without explicit user request and review.
  • I will not paste or echo secrets into commands.
  • I will not make destructive changes without confirming the exact file paths.

Quick commands I often start with

  • pwd
  • ls -la
  • git status
  • rg -n "error|warn|TODO" .
  • uname -a
  • node -v && python -V

If you want raw, direct execution (no model involvement), use /term.

平台分布

OpenClaw

82%
按下载量换算7,804

安全审计

VirusTotal

通过

ClawScan

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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