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superbasedsuperbased 搜索

Agent Skill

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。

总安装

1,395

周安装

57

GitHub Stars

公开资料未说明

下载量

447
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: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

简介

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。

SKILL.md

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

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

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

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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