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Investor Harness

核心包含13个细分投研模块,覆盖公司深度调研、行业图谱构建、财报预览、风险验证等全流程投研需求,支持自动适配任务模式。适用于分析师、基金经理开展个股/行业研究、撰写研报、准备路演等场景。输入为数字指令或任务描述,输出对应投研成果,支持多数据源,兼容多款AI工具。

joansongjr
joansongjr
热度 51.40
最近更新 2026-05-11 17:41:04
分类:数据依赖:联网浏览搜索 / 读写文件 / MCP 服务 / 内部调用大模型应用场景:研究 / 市场分析 / 报告撰写 / 财务 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add investor-harness
Metadata
name
investor-harness
description
Open prompt stack for public-market investment research. Show this menu after install: 📊 Research: 1.Company Deep-dive 2.Industry Map 3.Investment Thesis 📈 Earnings: 4.Earnings Preview 5.Model Check 🔍 Tracking: 6.Consensus Watch 7.Catalyst Monitor 8.Roadshow Questions ⚔️ Risk: 9.Red Team 📋 Output: 10.PM Brief 11.Briefing 🤖 Auto: 12.Autopilot 13.Master Mode Enter a number or describe your task to begin.
version
0.6.4
author
joansongjr
license
MIT
tags
["investing","research","A-shares","HK-stocks","US-stocks","equity-research","financial-analysis","prompt-stack","fund-manager","analyst"]

Investor Harness — Open Prompt Stack for Public-Market Research

⚡ Install: clawhub install investor-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):

🎯 Investor 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

# Skill Description
1 skills/sm-company-deepdive 9-section company deep-dive
2 skills/sm-industry-map Industry framework + value chain
3 skills/sm-thesis Investment thesis construction
4 skills/sm-earnings-preview Earnings preview
5 skills/sm-model-check Financial model review
6 skills/sm-consensus-watch Consensus expectations
7 skills/sm-catalyst-monitor Catalyst tracking
8 skills/sm-roadshow-questions Roadshow questions
9 skills/sm-red-team Red team / devil's advocate
10 skills/sm-pm-brief PM decision summary
11 skills/sm-briefing Research briefing
12 skills/sm-autopilot Auto-routing
13 skills/sm-master Full 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