Token导航 LogoToken导航TokenDH.com
研究检索操作浏览器clawhub未标认证来源可访问clear审计通过

research-queue研究队列

Agent Skill

research-queue 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

3,345

周安装

134

GitHub Stars

公开资料未说明

下载量

1,083
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:research-queue(研究队列)
来源仓库:https://github.com/mozi1924/research-queue
安装命令:
openclaw skills install research-queue
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 research-queue

简介

research-queue 管理未解决的技术与算法问题的研究队列。

  • 结构化组织背景研究与解决方案探索过程。
  • 适用于复杂技术难题的系统性研究跟踪。research-queue 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 帮助用户捕获和沉淀研究过程中的关键节点。
  • 特别适合数学、工程类问题的深度挖掘。

SKILL.md

name
research-queue
description
Structured background research queue for unresolved technical, product, algorithmic, mathematical, and workflow questions. Use when the user wants to capture open questions in QUESTIONS.md, investigate them over time, run bounded web/local experiments, update queue state, or build an autonomous cron-driven research loop with strict evidence and completion tracking.

Research Queue

Use this skill when work produces unresolved questions that deserve deliberate investigation instead of ad-hoc guessing.

Core workflow

  1. Read QUESTIONS.md.
  2. If the file is missing, initialize it using the format in references/queue-format.md.
  3. Select at most one question unless the user explicitly asks for batch processing.
  4. Prefer the highest-priority open question with the strongest practical value.
  5. Investigate using only the minimum tools needed.
  6. Update the question entry in place with:

- status - startedAt / completedAt when applicable - evidence summary - conclusion or blocked reason - memory note path if something durable was learned

  1. If the final status is done or wontfix, move the entire question block from ## Active Questions to ## Completed Questions in the same edit pass.
  2. Write durable findings to memory/YYYY-MM-DD.md when they are worth remembering.

Allowed investigation methods

Choose the lightest method that can answer the question:

  • web_search for fast grounded search
  • web_fetch for reading specific pages
  • browser only when a real browser is needed
  • read for local docs/config/code
  • exec for bounded local experiments, scripts, benchmarks, math checks, and repro steps

Allowed local coding includes short Python, Rust, JavaScript, or shell experiments when they directly help answer the selected question.

Hard rules

  • Investigate one question at a time by default.
  • Do not silently delete old questions.
  • Do not mark a question done without a concrete conclusion or result.
  • Distinguish clearly between verified findings, hypotheses, and blocked work.
  • When a question becomes done or wontfix, move it out of ## Active Questions immediately; do not leave completed items in the active section.
  • Use plausible real timestamps only; never write a completedAt in the future relative to the current run.
  • Do not modify production code or config unless the user explicitly asks for implementation work; research mode may create bounded scratch experiments or propose diffs instead.
  • Do not let the queue turn into vague brainstorming sludge; rewrite unclear entries into concrete answerable questions.

Status model

Use only these statuses in QUESTIONS.md:

  • open — not started yet
  • investigating — currently being worked
  • blocked — cannot finish without missing input/access/time
  • done — answered well enough for now
  • wontfix — intentionally dropped

First-use initialization

If QUESTIONS.md does not exist:

  1. Read references/queue-format.md.
  2. Create QUESTIONS.md from the canonical template.
  3. Keep the initial headings and status conventions intact.
  4. Add only the starter examples or the user’s real questions; do not pad it with fake research tasks.

Automation

Prefer OpenClaw cron when the user wants this queue processed automatically.

  • Default to cron, not HEARTBEAT.
  • Use HEARTBEAT only if the user explicitly wants main-session, drift-tolerant background attention.
  • Be explicit that this means the OpenClaw cron tool, not Unix crontab.
  • Prefer isolated cron runs so research work does not pollute the main conversation.
  • For scheduling details and the minimal run prompt, read references/automation.md.

What good completion looks like

A finished question should leave behind:

  • a stable answer or a bounded partial answer
  • the evidence source or experiment basis
  • completion time that matches the actual run window
  • relocation of finished work into ## Completed Questions
  • durable memory only if the result is likely to matter later

References

  • Queue structure and canonical template: references/queue-format.md
  • Automation and OpenClaw cron guidance: references/automation.md

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

86.2%
按下载量换算934

安全审计

VirusTotal

通过

ClawScan

通过

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。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

继续浏览同类 Skills