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capture-classification捕获分类

Agent Skill

capture-classification 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

3,248

周安装

134

GitHub Stars

公开资料未说明

下载量

1,061
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:capture-classification(捕获分类)
来源仓库:https://github.com/zvirb/capture-classification
安装命令:
openclaw skills install capture-classification
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 capture-classification

简介

标准操作程序 (SOP),使用原子节点根据紧急情况将非结构化文本路由到任务或 LanceDB。

SKILL.md

name
capture-classification
description
Standard Operating Procedure (SOP) that routes unstructured text to Tasks or LanceDB based on urgency using atomic nodes.
os
all
requires
bins
[gog]

Lean Philosophy (Principles)

  • Kaizen (改善): This workflow relies entirely on discrete, single-responsibility atomic nodes rather than a monolithic loop.
  • Standardized Work (Hyojun Sagyo): This node represents a strict, step-by-step Standard Operating Procedure (SOP) for inbound text classification.
  • Jidoka (自働化): Includes autonomous self-healing loops with hard verification stops between every step.

Capture Classification SOP

This procedure guides the agent to act as a semantic router for inbound text using explicitly defined atomic nodes.

Cognitive Directives

WHEN [Unstructured audio transcript or note text is captured] THEN [ Follow this strict Standard Operating Procedure:

Step 1: Classification - Execute the LLM-Classify-Intent atomic skill with categories: ["Actionable", "Informational"]. - Jidoka Stop: Verify the skill returns exactly one of the requested categories. IF it fails, instruct it to correct the output and retry. Do NOT proceed until a valid category is obtained.

Step 2: Routing Execution - IF "Actionable": - Execute the Google Tasks Create Task atomic node using the text as the title. - Jidoka Stop: Check if the node returns a successful JSON response. IF it fails, retry up to 3 times. IF it still fails, report the error and STOP. - IF "Informational": - Execute the Vector Store Upsert Memory atomic node to save it as reference material. - Jidoka Stop: Verify the vector store confirms a successful upsert. IF it fails, retry up to 3 times. IF it still fails, report the error and STOP. ]

Expected Output

A JSON log confirming the routed destination and action taken by the respective atomic node.

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

86.93%
按下载量换算922

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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