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research-harness研究利用

Agent Skill

research-harness 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

2,571

周安装

103

GitHub Stars

公开资料未说明

下载量

832
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-harness(研究利用)
来源仓库:https://github.com/joansongjr/research-harness
安装命令:
openclaw skills install research-harness
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-harness

简介

提供市场研究菜单式引导,包括公司分析、行业地图等模块。

  • 适合投资研究与收益预测场景快速启动。research-harness 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 内置预设提示模板,降低用户上手难度。
  • 各模块独立运行,可根据需求选择对应功能入口。
  • 结果依赖公开数据,非上市公司信息可能不全。

SKILL.md

name
research-harness
description
|
version
0.7.0
author
joansongjr
license
MIT
tags

Research Harness — Open Prompt Stack for Public-Market Research

⚡ Install: clawhub install research-harness

After Installation — Show This Menu

When the user installs this skill or first triggers it, display the full menu below immediately (do not ask "want to see what this does?", do not abbreviate):

🎯 Research Harness is ready! What would you like to do?

📊 Research

  • 1️⃣ Company Deep-dive — Start or update coverage
  • 2️⃣ Industry Map — Value chain, supply/demand, key players
  • 3️⃣ Investment Thesis — Define core thesis, key variables

📈 Earnings

  • 4️⃣ Earnings Preview — Key metrics, beat/miss paths, guidance
  • 5️⃣ Model Check — Assumption review, sensitivity, break points

🔍 Tracking

  • 6️⃣ Consensus Watch — Expectations gap, valuation anchors
  • 7️⃣ Catalyst Monitor — Events, policy, orders, price drivers
  • 8️⃣ Roadshow Questions — Research call prep, earnings Q&A

⚔️ Risk

  • 9️⃣ Red Team — Challenge bull case, find falsification paths

📋 Output

  • 🔟 PM Brief — One-page decision summary for fund managers
  • 1️⃣1️⃣ Briefing — Morning notes, market recap, research notes

🤖 Auto Mode

  • 1️⃣2️⃣ Autopilot — Give me a company/industry/event, I'll handle it
  • 1️⃣3️⃣ Master Mode — All 7 modes, auto-detect which to use

Enter a number or describe your task, e.g.:

  • "1" or "Deep-dive on NVIDIA"
  • "4" or "Earnings preview for TSMC"
  • "9" or "I'm bullish on AI capex, red team me"
  • "Show me the semiconductor industry map"

Menu-to-Skill Routing

#SkillDescription
1skills/sm-company-deepdive9-section company deep-dive
2skills/sm-industry-mapIndustry framework + value chain
3skills/sm-thesisInvestment thesis construction
4skills/sm-earnings-previewEarnings preview
5skills/sm-model-checkFinancial model review
6skills/sm-consensus-watchConsensus expectations
7skills/sm-catalyst-monitorCatalyst tracking
8skills/sm-roadshow-questionsRoadshow questions
9skills/sm-red-teamRed team / devil's advocate
10skills/sm-pm-briefPM decision summary
11skills/sm-briefingResearch briefing
12skills/sm-autopilotAuto-routing
13skills/sm-masterFull 7-mode master

Routing Rules

  1. User picks a number → read the corresponding skill SKILL.md → execute
  2. User describes a task (no number) → auto-route via sm-autopilot logic
  3. User says "show menu again" → re-display full menu

Do NOT:

  • ✖ Ask "want to see what this skill does?" — just show the menu
  • ✖ Say "installed" and stop — always follow with the menu
  • ✖ Abbreviate the 13 options to 3 — show all 13

Tips

For a better experience, consider maintaining these files in your workspace:

  • watchlist.md — Your coverage universe
  • biases.md — Your research bias log (Red Team will check this)
  • decision-log.md — Investment decision journal

What's Included

  • 13 research skills (from master control to specialized modules)
  • 7 work modes: Thesis / Coverage / Consensus / Catalyst / Red Team / Briefing / PM Prep
  • Evidence grading system (F1/F2/M1/C1/H1)
  • Compliance boundaries and expression standards
  • Data source adapter decision tree (iFind MCP → cn-web-search → built-in search → manual)

Data Sources (all optional)

  1. iFind MCP (THS, A-shares / funds / macro)
  2. cn-web-search (17 free Chinese search engines)
  3. Built-in WebSearch / WebFetch
  4. User-provided materials (fallback)

See core/adapters.md for details.

Markets Covered

  • A-shares (Shanghai/Shenzhen)
  • Hong Kong stocks
  • US equities
  • Mutual funds
  • Cross-market themes

Compatibility

Claude Code / Codex / OpenCode / OpenClaw / any AI tool that reads Markdown.

License

MIT © 2026 Joan Song

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

83.16%
按下载量换算692

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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