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Agent Skill · 研究检索

scrask-bot(刮擦机器人)

scrask-bot 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。

scrask-bot 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 6,958。

总安装 20,415周安装 868GitHub Stars 公开资料未说明下载 7,152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
1.0.1

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:scrask-bot(刮擦机器人)
来源仓库:https://github.com/devsandip/scrask-bot
安装命令:
openclaw skills install scrask-bot
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 scrask-bot

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。

用于查找、检索和筛选相关信息。适合在 OpenClaw 中根据关键词、任务场景或来源线索快速定位候选结果时使用。通过 clawhub 安装,结合来源仓库和 README 可核验具体用法。安装前建议确认权限范围、维护状态及是否触发联网、命令执行或文件读写。适用于需要智能解析与多模型回退的信息检索场景。

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 scrask-bot;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

scrask-bot 怎么安装?

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

scrask-bot 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。

scrask-bot 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。

scrask-bot 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。

scrask-bot 用的人多吗?

公开数据是累计安装 20,415 次,近一周安装 868 次,下载 7,152 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。

scrask-bot 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
scrask-bot

刮擦机器人 · 本页

20,415—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
scrask-bot
version
3.0.0
description
>
author
your-name
metadata
openclaw
emoji
🦞
primaryEnv
GEMINI_API_KEY
requires
env
bins
config
vision_provider
type
string
description
>
default
auto
fallback_threshold
type
number
description
Confidence floor for auto mode. If any item is below this, Claude reruns the parse.
default
0.60
timezone
type
string
description
User's IANA timezone. Used when none is detected in the screenshot.
default
UTC
confidence_threshold
type
number
description
0.0–1.0. Items below this score ask for confirmation. Items above save silently.
default
0.75
reminder_minutes_before
type
integer
description
Popup reminder lead time in minutes for Google Calendar events.
default
30

Scrask Bot

Overview

This skill activates when the user sends a screenshot via Telegram. It uses vision AI to extract actionable information from the image, then:

  • High confidence (≥ 0.75): Saves immediately and replies with a brief confirmation.
  • Low confidence (< 0.75): Shows a structured preview in Telegram and asks for confirmation before saving.

Provider behaviour (auto mode, default):

StepWhat happens
1Gemini 2.0 Flash parses the screenshot (fast, cheap)
2If any item confidence < 0.60, Claude Opus reruns the parse
3Whichever provider scores higher average confidence wins
4Output includes provider, fallback_triggered, and confidence delta

Set vision_provider to "claude" or "gemini" to lock a specific provider.

Output destinations (AI-decided by content type):

Detected typeDestination
Event (has date+time, venue, or invite link)Google Calendar
Reminder (deadline, due date, personal action)Google Tasks (with due date)
Task (no date, pure action item)Google Tasks (no due date)

Trigger Conditions

Activate when:

  1. The user sends a message in Telegram that contains an image attachment
  2. The image appears to be a screenshot — not a photo of a person, place, or physical object
  3. No other skill has already claimed the image

Do not activate for:

  • Photos of people, places, food, scenery
  • Screenshots of code, errors, or UI bugs (leave for other skills)
  • Images the user explicitly asks to edit, describe, or analyze for another purpose

Step-by-Step Instructions

Step 1: Acknowledge Immediately

Reply in Telegram right away so the user knows the skill is working:

"📸 Got it — analyzing your screenshot..."

Do not make the user wait silently.


Step 2: Run the Parser

python3 ~/.openclaw/skills/scrask-bot/scripts/scrask_bot.py \
  --image-path "<path-to-temp-image>" \
  --provider "$CONFIG_VISION_PROVIDER" \
  --timezone "$CONFIG_TIMEZONE" \
  --google-credentials "$GOOGLE_CREDENTIALS"

The script auto-resolves the API key from ANTHROPIC_API_KEY or GEMINI_API_KEY
depending on the provider — no need to pass it explicitly.

The script returns a JSON object with:

  • success — whether parsing worked
  • no_actionable_content — true if nothing found
  • results[] — one entry per detected item, each with confidence, type, destination, needs_confirmation, action_taken
  • telegram_reply — the pre-formatted message to send back to the user

Step 3: Handle the Output

If no_actionable_content is true: Reply: "🤷 I couldn't find any event, reminder, or task info in that screenshot. Could you describe what you'd like to add?"

If success is true: Send the telegram_reply value directly back to the user in Telegram. The script has already:

  • Saved high-confidence items silently
  • Formatted confirmation prompts for low-confidence items

Do not rephrase or reformat the telegram_reply — send it as-is.


Step 4: Handle Confirmation Responses

If the script returned items with needs_confirmation: true, wait for the user's reply.

"yes" or "save" or "add": Re-run the script for that specific item with confirmed=true, or use the calendar_create / tasks_create tools directly with the extracted fields.

"edit": Ask what to change, update the relevant field, then save.

"skip" or "no": Reply: "Got it, skipped ✓"


Step 5: Confirm Saves

For items saved silently (high confidence), the telegram_reply from the script already contains the confirmation message. Examples of what the user will see:

  • 📅 Added to Calendar: **Team Standup** — 2026-03-01 at 09:00
  • 🔔 Added to Tasks: **Pay electricity bill** (due 2026-02-28)
  • ✅ Added to Tasks: **Review PR for Arjun**

Edge Cases

ScenarioBehavior
Screenshot is in Hindi, Tamil, or another languageExtract and translate silently; save title in English
Recurring event ("every Monday")Set RRULE on the calendar event; mention it in the reply
Date has already passedFlag in the reply: "⚠️ This date has already passed (Feb 10). Save anyway?"
Multiple items in one screenshotProcess each independently; confirm per item if needed
Screenshot of someone's calendarDetect already_in_calendar_hint; reply: "Looks like this event is already in your calendar 🗓️"
Google API auth failureReply with the specific error and suggest re-checking GOOGLE_CREDENTIALS
Zoom/Meet link foundAdd to Calendar as both location and description

Configuration

{
  "skills": {
    "entries": {
      "scrask-bot": {
        "enabled": true,
        "env": {
          "GEMINI_API_KEY": "AIza-your-gemini-key",
          "ANTHROPIC_API_KEY": "sk-ant-your-key-here",
          "GOOGLE_CREDENTIALS": "/home/user/.openclaw/google-creds.json"
        },
        "config": {
          "vision_provider": "auto",
          "fallback_threshold": 0.60,
          "timezone": "Asia/Kolkata",
          "confidence_threshold": 0.75,
          "reminder_minutes_before": 30
        }
      }
    }
  }
}

Permissions Required

  • image:read — to access the screenshot from Telegram
  • network:outbound — to call Anthropic API and Google APIs
  • telegram:reply — to send confirmation messages back to the user

平台分布

OpenClaw

95.94%
按下载量换算6,862

安全审计

VirusTotal

可疑

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。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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