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Agent Skill · 研究检索

superbased(superbased 搜索)

superbased 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。

superbased 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 39,547。

总安装 1,395周安装 57GitHub Stars 公开资料未说明下载 447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
2.0.2

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:superbased(superbased 搜索)
来源仓库:https://github.com/marmutapp/superbased
安装命令:
openclaw skills install superbased
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 superbased

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。

OpenClaw 的 GUI 自动化中枢,整合 OCR、语音听写与 72 个 MCP 工具。当代理需查看屏幕内容、操作界面或捕捉动态信息时启用。支持跨平台窗口控制与图像识别,增强交互能力。superbased 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装后需授予屏幕录制与应用访问权限,确保功能完整。

在高分辨率或特殊渲染环境下可能出现识别偏差,需人工复核。

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 superbased;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

superbased 怎么安装?

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

superbased 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。

superbased 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。

superbased 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。

superbased 用的人多吗?

公开数据是累计安装 1,395 次,近一周安装 57 次,下载 447 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。

superbased 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
superbased

superbased 搜索 · 本页

1,395—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
superbased
description
Eyes AND hands for OpenClaw — capture, AI vision, OCR, recording, voice dictation, and full GUI automation via 72 MCP tools. Use when the agent needs to see the user's screen OR drive their desktop (click / type / scroll / drag / form-fill / sequence) AND when the user mentions screenshots, screen recording, visual regression, OCR, voice transcription, or asks to automate a UI workflow.

SuperBased gives OpenClaw agents both eyes (screen capture, AI vision, OCR) and hands (full GUI automation with humanization v2 + CAPTCHA-solving guidance) on the user's desktop. The actual capabilities are exposed through 72 MCP tools served by the SuperBased MCP server (superbased mcp); this skill bundle teaches the agent when to reach for which tool.

Two-step install (run once)

# 1. Install this skills bundle from ClawHub
openclaw skills install superbased

# 2. Register the SuperBased MCP server
openclaw mcp set superbased '{"command":"superbased","args":["mcp"]}'

# 3. (Pre-req) the SuperBased CLI on PATH
npm install -g superbased

Optional: install the SuperBased desktop app from superbased.app for a GUI to browse captures, configure providers, and manage the gallery. When the desktop app is running, superbased mcp auto-bridges to it via a PID file at ~/.superbased/, so OpenClaw and the desktop share state.

When to use SuperBased

Trigger SuperBased when the user's request involves any of:

  • Seeing what's on screen — "look at this", "what's on my screen", "describe what I'm seeing", "read this dialog"
  • Verifying a UI change — "did the button update?", "is the error gone?"
  • Reading content that's hidden behind scroll — "what are all the settings?", "walk me through the sidebar"
  • Visual regression testing — "record a baseline of the login flow", "did anything change visually?"
  • Watching for issues during long-running processes — "monitor my deploy for errors", "let me know if anything fails"
  • Extracting text from images / screen — "OCR this", "extract the text from this region"
  • Voice input — "transcribe what I'm about to say", "type via dictation"
  • Compressing large text into images — "send this 5K-token block as one image"
  • Annotating / redacting screenshots — "highlight the broken thing", "redact the API key before sharing"
  • Driving the desktop UI — "click that button", "type into the email field", "fill out this form", "press Cmd+S"
  • Multi-step workflow automation — "open File menu, pick Open, type the path, press Enter, screenshot the result"
  • Solving in-flow CAPTCHA challenges — "this drag puzzle is blocking me", "select all squares with traffic lights"
  • Fighting bot detection — when an automation flow on a hardened site needs cursor-trajectory humanization

Sub-skills (use these as the agent's working knowledge)

The 11 SKILL.md files in this bundle each cover one trigger category. Read the relevant one first when the user request matches its description:

FileUse when
skills/screenshot/SKILL.mdCapturing the screen at the right resolution / window / region
skills/visual-qa/SKILL.mdRecord-baseline → make-changes → record-again → diff workflow
skills/monitor/SKILL.mdProactive screen watching during deploys, tests, builds
skills/walkthrough/SKILL.mdReading a scrollable section end-to-end via superbased_scroll_capture
skills/compress/SKILL.mdConverting large text to token-efficient images
skills/redact/SKILL.mdAuto-redacting secrets / PII before sharing
skills/dictation/SKILL.mdVoice input, audio transcription, speech-to-text
skills/annotate/SKILL.mdHighlighting areas, marking regressions, drawing on captures
skills/gui-automation/SKILL.mdClick / type / scroll / drag / form-fill / sequence — driving the desktop
skills/captcha-solving/SKILL.mdreCAPTCHA / Cloudflare Turnstile / drag puzzles / rotation puzzles / image grids
skills/humanization/SKILL.mdPicking the right humanize profile (off / light / human / paranoid) per call

The 72 MCP tools at a glance

Capture & View (5): superbased_screenshot, _capture_image, _capture, _gallery_image, _window_list

AI & OCR (8): superbased_ai, _ai_usage, _ocr, _transcribe, _compress_text, _project, _workspace_sync, _stt_status

Gallery (2): superbased_gallery, _gallery_update

Privacy & Annotations (2): superbased_redact, _annotate

Dictation & Voice (2): superbased_dictate, _dictation_history

Recording & Visual QA (7): superbased_recording, _sessions, _describe_frames, _narrate, _diff, _baseline, _export

Settings, Auth & System (6): superbased_settings, _presets, _auth, _license, _health, _clipboard

GUI Automation (40): superbased_ui_dump, _scroll_capture, _scroll_to, _sequence, _click, _type, _hotkey, _scroll, _drag, _drag_file, _hover, _context_menu_select, _form_fill, _dialog_handle, _open_url, _find_in_page, _tab_management, _tray_click, _virtual_desktop, _window_state, _resize_window, _focus_window, _window_bounds, _find_title_bar_drag_region, _display_list, _launch_app, _find_image, _capture_template, _pixel_color, _ax_invoke, _accessibility_tree, _locate, _wait, _wait_for, _mouse_position, _dry_run, _replay, _doctor_gui_automation, _undo_last, _tools

Safety rails (for the GUI automation surface)

Before any state-modifying GUI action (click, type, drag, sequence, form_fill, etc.):

  1. The master toggle (Settings > GUI Automation > Enabled) must be on. Run superbased_doctor_gui_automation to verify.
  2. Per-action toggles (click, type, hotkey, scroll, drag, hover) must each be enabled.
  3. Every state-modifying call must pass confirm: true — the server refuses without it.
  4. Protected-apps blocklist + NDJSON audit log are server-side; users can audit every action you took.

When to bump humanization

Default humanize: 'light' is enough for most consumer sites. Bump to 'human' for sites with active bot detection (Cloudflare-fronted, reCAPTCHA-gated). Bump to 'paranoid' for hardened targets (banking, ticketing, social media bot crackdowns). See skills/humanization/SKILL.md for the full picker.

Links

平台分布

OpenClaw

79.99%
按下载量换算358

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

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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