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aaa啊啊

Agent Skill

aaa 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

1,979

周安装

85

GitHub Stars

公开资料未说明

下载量

694
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:aaa(啊啊)
来源仓库:https://github.com/samadhifire/aaa
安装命令:
openclaw skills install aaa
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 aaa

简介

当用户提及 wos、WOS、WoS 或 Web of Science 并希望进行基于主题的文献检索、深圳大学图书馆登录、论文筛选、摘要时使用。

SKILL.md

name
wos-feishu-literature
description
Use when the user mentions wos, WOS, WoS, or Web of Science and wants topic-based literature search, Shenzhen University library login, paper screening, abstract extraction, and writing results into a Feishu Base/multidimensional table via local lark-cli. Also use when the user wants a reusable WOS-to-Feishu workflow, academic literature collection, SSCI-focused retrieval, or a 中文文献检索到飞书多维表格流程.

WOS Literature To Feishu

Before executing, read references/playbook.md.

Core Rules

  • Trigger this skill whenever the user mentions wos, WOS, WoS, or Web of Science.
  • Before touching WoS or Feishu, ask the preflight questions from the playbook in one batch. If the required inputs are still missing, stop and wait for the user instead of searching immediately.
  • Prefer the Shenzhen University library route first:

https://www.lib.szu.edu.cn/er?key=web+of+science

  • Prefer Web of Science - SSCI when the user does not specify another database.
  • Browser automation for WoS is not fixed to one tool. If the user explicitly says they are using playwright-cli, use the playwright-cli skill for browser steps and do not silently switch to opencli-browser. Only use another browser automation path when the user agrees or the requested path is unavailable.
  • Prefer local lark-cli for Feishu Base writeback. Do not default to browser-based Feishu data entry.
  • If login reaches Shenzhen University unified auth and asks for SMS code, verification code, captcha, or other second-step authentication, stop and wait for the user to complete it before continuing.
  • Default SZU username may be prefilled as 2410032057 for this user's local workflow, but keep the password runtime-only and do not persist it into the skill.
  • Do not store passwords, verification codes, or other credentials inside the skill, repo, or local files. If the user shares credentials in the current chat, treat them as runtime-only and do not persist them into the skill.
  • Do not silently switch to direct Clarivate login while the SZU route is available. Use direct Clarivate institution login only as a fallback.
  • Do not write into the wrong Feishu subtable. Confirm the exact Base link and target table handling first.
  • If the user has no clear screening rule, use the simple default:

高相关 + 高引用 + 近5年代表作 + 摘要完整 + 去重 + 子主题覆盖均衡

Execution Order

  1. Ask the preflight questions from the playbook.
  2. Lock the search scope, target count, and screening rule.
  3. Expand the user's Chinese topic into English core concepts, synonyms, adjacent concepts, and object terms before building final queries.
  4. Enter WoS through the SZU library route and wait at any verification step.
  5. Build query buckets and collect candidate papers.
  6. Deduplicate and screen down to the target count.
  7. Extract at least 标题 / 年份 / 作者 / Q几区 / 引用数 / 摘要 / 文章链接 / 抓取时间 / 主题标签 / 现在状态, and actively resolve Q几区 whenever that field exists in the target schema.
  8. Use local lark-cli to create or update the Feishu table fields and records.
  9. Verify final table name, field structure, sample rows, and record count.

Important Defaults

  • Database default: WOS Core Collection -> SSCI
  • Document type default: Article + Review
  • Language default: English
  • Count default when the user says "先来一批": 50
  • Base field default: 标题 / 年份 / 作者 / Q几区 / 引用数 / 摘要 / 文章链接 / 抓取时间 / 主题标签 / 现在状态
  • Q几区 default semantics: JCR Quartile, and it should be checked by default when that field is present.

Journal Quartile Rule

  • SSCI几区 / JCR几区 / 中科院分区 is journal-level metadata, not article-level metadata.
  • If the target table includes Q几区, do not silently skip it during writeback.
  • Unless the user explicitly asks for 中科院分区, interpret Q几区 as JCR Q1/Q2/Q3/Q4.
  • Before writing records, either fill Q1/Q2/Q3/Q4 or explicitly report that quartile verification is still pending.
  • Do not treat Q几区 as optional just because it requires an extra journal-level lookup step.
  • Abstract extraction is normally feasible from the WoS full record page and can be written into Feishu Base.

Default Field Types

  • 标题: text/plain
  • 年份: number, integer
  • 作者: text/plain
  • Q几区: select, single choice, options Q1/Q2/Q3/Q4; if the workflow often needs staged completion, add 待查
  • 引用数: number, integer
  • 摘要: text/plain
  • 文章链接: text/url
  • 抓取时间: datetime
  • 主题标签: text/plain
  • 现在状态: select, single choice, options 已读摘要/已读全文, blank allowed

Windows Notes

  • On Windows PowerShell, if lark-cli resolves to lark-cli.ps1 and is blocked by execution policy, explicitly call lark-cli.cmd.
  • If the user chooses playwright-cli, prefer playwright-cli snapshot for page inspection, and use a persistent profile or the user's existing session strategy only after confirming it with the user.
  • When using --json @file in PowerShell, quote the value, for example:

--json "@.\\feishu\\ ecord_payloads\\001.json"

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

76.62%
按下载量换算532

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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