Research Harness

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name: research-harness description: | Open prompt stack for public-market 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: 0.7.0 author: joansongjr license: MIT tags: - research - A-shares - HK-stocks - US-stocks - equity-research - financial-analysis - prompt-stack - fund-manager - analyst

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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

| # | 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

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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

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

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