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chonkie-deepresearch琼基深度研究公司

Agent Skill

chonkie-deepresearch 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

11,384

周安装

489

GitHub Stars

公开资料未说明

下载量

3,990
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:chonkie-deepresearch(琼基深度研究公司)
来源仓库:https://github.com/chonknick/chonkie-deepresearch
安装命令:
openclaw skills install chonkie-deepresearch
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 chonkie-deepresearch

简介

执行深度市场分析与竞争情报研究查询,返回带引用来源的综合报告。

  • 适用于行业趋势研判、竞品策略拆解与投资机会评估等专业场景。
  • 输入关键词即可启动多轮次数据整理与交叉验证分析流程。
  • 报告生成耗时较长,建议设置超时阈值防止阻塞主进程运行。
  • 引用来源真实性由第三方网站保证,OpenClaw 不承担信息准确性责任。

SKILL.md

name
chonkie-deepresearch
description
Run deep research queries using Chonkie DeepResearch. Returns comprehensive research reports with citations — useful for market analysis, competitive intelligence, technical deep dives, and any research-heavy task.
homepage
https://chonkie.ai
metadata

Chonkie DeepResearch

Run deep research queries from your agent and get comprehensive reports with citations.

Setup

Before using, check if chdr is installed (which chdr). If not:

  1. Install: cargo install chdr

- If cargo isn't available, install Rust first: curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

  1. Authenticate: chdr auth login (opens browser to get an API key)

- Or set CHONKIE_API_KEY environment variable - Get a key at https://labs.chonkie.ai/settings/api-keys

Usage

IMPORTANT: Research takes 2-10 minutes. Always spawn a sub-agent to avoid blocking the main thread.

Running research (recommended: sub-agent)

Use sessions_spawn to run the research in a sub-agent. The sub-agent handles the long-running query and announces the result when done, so your main agent stays responsive.

{
  "tool": "sessions_spawn",
  "task": "Run chdr research and save results. Steps:\
1. Run: chdr research --type report --no-stream --json \"<QUERY>\" > /tmp/chdr-research-<TIMESTAMP>.json\
2. Extract ID and title: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d['id']); print(d.get('title','Untitled'))\"\
3. Extract body: python3 -c \"import json; d=json.load(open('/tmp/chdr-research-<TIMESTAMP>.json')); print(d.get('content',{}).get('body',''))\" > /tmp/chdr-research-<TIMESTAMP>.md\
4. Report back the title, ID, and URL: https://labs.chonkie.ai/research/{id}"
}

Replace <QUERY> with the research query and <TIMESTAMP> with $(date +%s).

Monitoring research status

Do NOT poll continuously for status. Instead, set up a cron job to check periodically (every 2-3 minutes):

# Add a cron entry to check research status every 2 minutes
# The cron should run: chdr view <id> --json | python3 -c "import json,sys; d=json.load(sys.stdin); s=d.get('status','unknown'); print(s)"
# and notify you when status is 'completed' or 'failed'

Or simply wait for the sub-agent to announce completion — it will report back automatically when the research finishes. The sub-agent approach is preferred over cron for one-off research queries.

After research completes

When the sub-agent announces completion:

  1. The web URL is: https://labs.chonkie.ai/research/{id}
  2. The full report is saved at /tmp/chdr-research-<TIMESTAMP>.md
  3. Read only the first 100 lines for a summary — NEVER load the entire file
  4. Tell the user you can answer questions about the report

Answering follow-up questions

  • Grep the .md file to find relevant sections before reading
  • Use offset/limit to read only the matching section
  • NEVER read the entire file into context — reports can be 20,000+ lines

Fallback: running without sub-agent

If sub-agents are unavailable, run the research command directly but warn the user it will block for several minutes:

chdr research --type report --no-stream --json "<query>" > /tmp/chdr-research.json

Other commands

chdr ls                    # List recent research
chdr ls --limit 20         # List more
chdr view <id>             # View a report (supports partial ID prefix)
chdr open <id>             # Open in browser
chdr delete <id>           # Delete a report

All commands that take an ID support prefix matching — chdr view 3a6b works if unambiguous.

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

75.53%
按下载量换算3,014

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

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 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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