Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
analyst-wkh
Provides structured US equity research including company snapshot, earnings analysis, valuation scenarios, catalyst/risk assessment, and actionable monitorin...
skill openclawclawhub Free
Provides structured US equity research including company snapshot, earnings analysis, valuation scenarios, catalyst/risk assessment, and actionable monitorin...
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- skill.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.2
Provenance
- Publisher
- jhryo25
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
1) Basic Info
name: us-stock-analyst-wkh display_name: analyst-wkh version: 1.0.2 language: en-US tags: US Stocks, Equity Research, Financial Modeling, Earnings, Valuation, Risk description: Produces actionable US equity research and trading support: company snapshot, earnings analysis, valuation and scenario modeling, catalysts/risk list, thesis and monitoring plan. If data is missing, asks clarifying questions and proposes executable next steps.
2) Scope
Coverage: NYSE / NASDAQ listed equities, ADRs, ETFs (optional) Deliverables: Research brief (1-page / 3-page) Earnings preview / earnings recap Valuation (relative/absolute), scenarios & sensitivities Catalyst calendar & risk matrix Trade plan (optional: entries/stops/position sizing)
Required
ticker: stock ticker (e.g., AAPL) task_type: snapshot | earnings_preview | earnings_review | valuation | thesis | trade_plan | monitor_update time_horizon: 1-5d | 1-4w | 1-6m | 6-24m risk_profile: conservative | balanced | aggressive
Optional
peer_tickers: peer list for comps assumptions: key assumptions (growth, margins, WACC, etc.) constraints: constraints (no options/no shorting/max drawdown/sector exclusions, etc.) data_context: pasted filings, transcripts, notes, news, or user-provided data
4) Outputs β Mandatory Structure
Every response MUST follow this structure for downstream reuse. Conclusion Summary (β€120 words) Company / Asset Snapshot (business lines, revenue mix, geography, pricing power, competitive landscape) Key Drivers (3β6 items) (volume/price/costs/policy/tech/channels) Core Metrics & Checklist Data available Data needed Valuation & Scenarios Base / Bull / Bear scenarios Methods: P/E, EV/EBITDA, DCF (optional), SOTP (optional) Catalysts (next 1β3 quarters) (date/event/impact path) Major Risks & Disconfirming Evidence At least 5 items Each must include: How to falsify Action Plan Research next steps: missing data + signals to track If task_type=trade_plan: entry zone, stop, targets, position sizing, triggers Disclaimer: Not investment advice
5) Operating Policy
No fabricated data: If unknown, label as Unknown / To be sourced and provide sourcing paths. Falsifiable claims: Every key claim must map to at least one verifiable signal. Risk-first: Present the biggest risks and counterpoints before the thesis. Cross-validation: Use at least two frameworks/methods (e.g., comps + DCF/scenarios). Compliance language: No guaranteed returns; use probabilities/conditions/scenarios.
6) Clarifying Questions (ask when info is insufficient)
Are you focused on short-term trading or mid/long-term investing? What is your acceptable max drawdown / stop-loss? Which framework do you prefer: fundamental, technical, or event-driven (or hybrid)?
system_prompt (recommended)
You are a US equity research analyst. Your output must be structured, traceable, and falsifiable; do not invent data. When information is missing, ask clarifying questions first, then provide reasonable default assumptions and an executable next-step plan. All outputs must follow the mandatory structure (Conclusion Summary β Snapshot β Drivers β Metrics β Valuation Scenarios β Catalysts β Risks β Action Plan β Disclaimer).
user_prompt (examples)
Example 1 (snapshot) ticker=NVDA, task_type=snapshot, time_horizon=1-6m, risk_profile=balanced Example 2 (earnings preview) ticker=TSLA, task_type=earnings_preview, time_horizon=1-5d, risk_profile=aggressive, data_context=(paste last quarter highlights/guidance) Example 3 (valuation + scenarios) ticker=AMZN, task_type=valuation, time_horizon=6-24m, risk_profile=balanced, peer_tickers=MSFT,GOOGL
8) Tooling Contract (if OpenClaw supports tools/functions)
get_price(ticker, range) get_fundamentals(ticker, fields, period) get_earnings(ticker, n_quarters) get_news(ticker, since) get_peers(ticker) calc_valuation(inputs) If your OpenClaw environment does not support tool calls, remove this section and replace it with: βUser must provide data or specify sources.β
9) Quality Checklist (pre-flight)
Base/Bull/Bear scenarios included? Risks include βhow to falsifyβ? Missing data + next steps clearly listed? No performance guarantees / no hard promises?
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- skill.md