Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
PlusE Financial Analysis
AI-ready stock analysis - ticker data, options, sentiment, predictions. Get your free API key at https://plusefin.com
skill openclawclawhub Free
AI-ready stock analysis - ticker data, options, sentiment, predictions. Get your free API key at https://plusefin.com
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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, plusefin.py
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
- 1.0.9
Provenance
- Publisher
- wanghsinche
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
PlusE Financial Analysis
AI-ready financial data research skill with structured research methodology.
Setup
export PLUSEFIN_API_KEY=your_api_key
1. Research Setup
Define target (ticker) and time range (6mo / 1y / 2y) Set research objective: valuation analysis / technical outlook / event-driven
2. Data Collection
Company Fundamentals: ticker - overview, valuation, ratings Market Sentiment: sentiment / sentiment-history Options Data: options / options-analyze (IV, Greeks, OI) Institutional Holdings: holders - major holders changes Financial Statements: statements (income/balance/cash) Earnings & Insider: earnings / insiders Price History: price-history
3. Hypothesis Formation
Based on data, formulate hypotheses: Direction: Bullish / Bearish / Neutral Drivers: Valuation reversion, earnings growth, event catalyst, sentiment reversal
4. Evidence Validation
Use search capabilities to gather research reports, news, announcements Cross-validate multi-source data timeline consistency Seek evidence supporting or refuting hypotheses
5. Valuation Scenarios
Bull Case: Valuation assuming upside catalysts materialize Base Case: Valuation based on current market expectations Bear Case: Valuation assuming downside risks materialize
6. Risk Assessment
Downside risks Key assumption risks Potential catalysts and triggers
7. Report Output
Structured output: Core thesis Evidence summary Valuation scenario comparison Risk warnings Actionable recommendations (if applicable) Each key conclusion must include source citations.
Usage
# Set API key export PLUSEFIN_API_KEY=your_api_key # Run commands python plusefin.py <command> [args]
Commands
CommandUsageDescriptiontickerpython plusefin.py ticker <symbol>Company overview, valuation, ratingsprice-historypython plusefin.py price-history <ticker> [period]Historical prices (6mo/1y/2y)sentimentpython plusefin.py sentimentMarket sentiment (Fear & Greed)sentiment-historypython plusefin.py sentiment-history [days]Historical sentimentoptionspython plusefin.py options <symbol> [num]Options chainoptions-analyzepython plusefin.py options-analyze <symbol>Options analysisholderspython plusefin.py holders <symbol>Institutional holdingsstatementspython plusefin.py statements <symbol> [type]Financial statements (income/balance/cash)earningspython plusefin.py earnings <symbol>Earnings historyinsiderspython plusefin.py insiders <symbol>Insider tradingnewspython plusefin.py news <symbol>Stock newsfredpython plusefin.py fred <series_id>Macroeconomic data
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 Docs1 Scripts
- SKILL.md
- plusefin.py