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unifuncs-deep-research统一深入研究

Agent Skill

unifuncs-deep-research 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

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下载量

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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:unifuncs-deep-research(统一深入研究)
来源仓库:https://github.com/vinlic/unifuncs-deep-research
安装命令:
openclaw skills install unifuncs-deep-research
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 unifuncs-deep-research

简介

unifuncs-deep-research 用于生成长篇研究报告,适合在 OpenClaw 中进行深度主题调研。

  • 基于 UniFuncs API 输出 10,000 字以上的结构化分析文档。
  • 覆盖市场趋势、技术对比或行业动态等复杂议题。
  • 需配置专用 API 密钥并关注计费模式和字数限制。
  • 建议设置超时机制,避免长时间等待影响用户体验。

SKILL.md

name
unifuncs-deep-research
description
Use UniFuncs Deep Research API to run in-depth research and generate long-form reports (10,000 words or more). Use this skill when users request deep research, research reports, or comprehensive analysis.
argument-hint
[query]
allowed-tools
Bash(python3:*)

UniFuncs Deep Research Skill

Use this tool for in-depth analysis and long-form report generation (10,000 words or more). It is suitable when the task requires multiple rounds of searching and reading, or when the user explicitly asks for deep research/deep digging. This is a relatively expensive operation and usually takes 3-10 minutes.

Mandatory second confirmation: Before invoking any Deep Research script (deep-research-report.py, deep-research-create-task.py, etc.), you must pause and get explicit user confirmation in the same conversation after you have summarized the request. In one message, briefly restate: (1) the research topic / question to be sent, (2) that it is long-running (~3–10 minutes) and higher cost than deep search, and (3) any key options you plan to use (e.g. output-type, model) if non-default. Do not run the scripts until the user clearly confirms (e.g. “确认 / 可以 / yes / proceed”). If the user adjusts the topic or options, repeat this confirmation step once more before running.

If the intent is still ambiguous after your summary, ask one short clarifying question before offering the confirmation summary.

First-Time Setup

  1. Go to <https://unifuncs.com/account> to get your API key.
  2. Set the environment variable: export UNIFUNCS_API_KEY="sk-your-api-key"

When to Use

You need deep, structured research on a topic. You want a report-style output instead of search report, if the user has not explicitly requested a deep research, consider using unifuncs-deep-search instead. Typical completion time is around 3-10 minutes, depending on topic complexity.

Usage Guidelines

  1. Complete Mandatory second confirmation above.
  2. Then use one of the entries below as appropriate.

The skills is split into 3 independent entries:

  • deep-research-report.py - Synchronously gets the research report. Because it can take longer, set a sufficiently large timeout.
  • deep-research-create-task.py - Asynchronously creates a research task and returns a task ID. Keep the task ID for later status/result queries to avoid creating duplicate tasks.
  • deep-research-query-task.py - Queries task status and returns task result/report content.

1) Sync report: deep-research-report.py

python3 deep-research-report.py "query"

2) Async task creation: create_task

python3 deep-research-create-task.py "query"

This returns task_id.

3) Async task query: query_task

python3 deep-research-query-task.py "task_id"

Options

usage: deep-research-report.py [-h] [--model {u1,u1-pro,u2,u3}]
                               [--stream | --no-stream]
                               [--timeout TIMEOUT]
                               [--stream-file STREAM_FILE]
                               [--read-stream-file]
                               [--introduction INTRODUCTION]
                               [--plan-approval]
                               [--reference-style {link,character,hidden}]
                               [--max-depth MAX_DEPTH]
                               [--domain-scope DOMAIN_SCOPE]
                               [--domain-blacklist DOMAIN_BLACKLIST]
                               [--output-type {report,summary,wechat-article,xiaohongshu-article,toutiao-article,zhihu-article,zhihu-answer,weibo-article}]
                               [--output-prompt OUTPUT_PROMPT]
                               [--output-length OUTPUT_LENGTH]
                               [--raw-response]
                               [query]

UniFuncs Deep Research client

positional arguments:
  query                 User query sent to Deep Research.

options:
  -h, --help            show this help message and exit
  --model {u1,u1-pro,u2,u3}
                        Model to use (default: u3).
  --stream              Enable streaming output (default).
  --no-stream           Disable streaming and wait for full response.
  --timeout TIMEOUT     Max streaming wait time in seconds (default:
                        1800).
  --stream-file STREAM_FILE
                        Path to persist/read stream chunks. If omitted,
                        temp file is auto-created when writable.
  --read-stream-file    Read and render already received content from
                        --stream-file, without calling API.
  --introduction INTRODUCTION
                        Researcher role/tone introduction.
  --plan-approval       Generate research plan and wait for approval
                        before execution.
  --reference-style {link,character,hidden}
                        Reference marker style.
  --max-depth MAX_DEPTH
                        Maximum research depth.
  --domain-scope DOMAIN_SCOPE
                        Comma-separated domain allowlist.
  --domain-blacklist DOMAIN_BLACKLIST
                        Comma-separated domain blocklist.
  --output-type {report,summary,wechat-article,xiaohongshu-article,toutiao-article,zhihu-article,zhihu-answer,weibo-article}
                        Desired output style (default: report).
  --output-prompt OUTPUT_PROMPT
                        Custom output prompt template.
  --output-length OUTPUT_LENGTH
                        Expected output length hint (default: 10000).
  --raw-response        Print full API response JSON.

Output Types

  • report - Long-form report(Default)
  • summary - Concise summary
  • wechat-article - WeChat public account article
  • xiaohongshu-article - Xiaohongshu post
  • toutiao-article - Toutiao article
  • zhihu-article - Zhihu article
  • zhihu-answer - Zhihu answer
  • weibo-article - Weibo article

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

83.48%
按下载量换算10,260

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可疑

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敏感数据

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安装前确认

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