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Install in OpenClaw
/install financial-report-tracker
Description
Automatically track tech company financial reports and generate investment summaries. Supports retrieving earnings calendars, market expectation comparisons,...
README (SKILL.md)
Financial Report Tracker
Automatically track tech company financial reports and generate investment summaries. Suitable for investors tracking portfolio companies' earnings calendars and automatically summarizing earnings highlights and risks.
Use Cases
When users mention earnings reports, financial reports, EPS, revenue expectations, earnings interpretation, tracking a company's financials, and similar scenarios.
Prerequisites
Install Python dependencies before first use:
pip install yfinance requests pandas
Core Capabilities
- Earnings Calendar Tracking — Automatically retrieve target company earnings release dates
- Market Expectation Comparison — EPS/Revenue expectations vs. actual data
- Earnings Interpretation — Key metric changes and management guidance summary
Command List
| Command | Description | Usage |
|---|---|---|
track |
Track earnings release dates | python scripts/earnings_tracker.py track \x3Cticker> |
preview |
Earnings preview analysis | python scripts/earnings_tracker.py preview \x3Cticker> |
review |
Earnings interpretation | python scripts/earnings_tracker.py review \x3Cticker> --quarter \x3CQ1/Q2/Q3/Q4> |
Usage Workflow
Scenario 1: Track Earnings Date
Track Apple's next earnings release date and market expectations
python scripts/earnings_tracker.py track AAPL
Scenario 2: Earnings Preview Analysis
Pre-earnings expectation analysis
python scripts/earnings_tracker.py preview AAPL
Scenario 3: Earnings Review
Interpret key data from the latest earnings report
python scripts/earnings_tracker.py review AAPL --quarter Q1
Output Format
All commands output a standard Markdown format report:
# 📊 Financial Report Tracker Report
**Generated on**: YYYY-MM-DD HH:MM
## Key Findings
1. [Key finding 1]
2. [Key finding 2]
3. [Key finding 3]
## Data Overview
| Metric | Value | Trend | Rating |
|--------|-------|-------|--------|
| Metric A | XXX | ↑ | ⭐⭐⭐⭐ |
| Metric B | YYY | → | ⭐⭐⭐ |
## Detailed Analysis
[Multi-dimensional analysis based on actual data]
## Actionable Recommendations
| Priority | Recommendation | Expected Outcome |
|----------|----------------|------------------|
| 🔴 High | [Specific recommendation] | [Quantified expectation] |
| 🟡 Medium | [Specific recommendation] | [Quantified expectation] |
| 🟢 Low | [Specific recommendation] | [Quantified expectation] |
References
- yfinance Library — Earnings calendar and earnings data
- Financial Modeling Prep API — Financial report data
Notes
- All analysis is based on data retrieved by the script; data is not fabricated
- Missing data fields are marked "Data Unavailable" rather than guessed
- It is recommended to combine with human judgment; AI analysis is for reference only
Usage Guidance
This skill appears to do what it says: fetch public finance data via yfinance and produce reports. Before installing: (1) inspect the full script yourself (or run it in a disposable/virtualenv) to confirm there are no hidden network calls or file writes you don't expect; (2) install Python deps in a virtual environment and consider pinning versions (pip install package==version) to reduce supply-chain risk; (3) expect the tool to make outbound requests to Yahoo Finance (your IP and request patterns will be visible to those services) and to be subject to rate limiting; (4) note the SKILL.md mentions another API (Financial Modeling Prep) but the included code does not use an API key—if a future version required an API key, treat that credential carefully; (5) if you need higher assurance, run the script in an isolated environment or container and review network traffic.
Capability Analysis
Type: OpenClaw Skill
Name: financial-report-tracker
Version: 1.0.0
The skill bundle is a legitimate financial data tracking tool that uses the 'yfinance' library to retrieve and summarize earnings reports. The Python script (scripts/earnings_tracker.py) implements standard data retrieval and formatting logic without any signs of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
The name/description (tracking earnings, generating summaries) matches the included script and SKILL.md. The script uses yfinance to collect company info, calendars, and financials—exactly what the skill claims to do. The SKILL.md references Financial Modeling Prep as an alternate data source but the provided code relies on yfinance, which is a reasonable (if single-source) implementation choice.
Instruction Scope
Runtime instructions are limited to installing Python deps and running the provided script with a ticker argument. The SKILL.md does not direct the agent to read unrelated files, environment variables, or to transmit data to third-party endpoints other than web requests performed by yfinance/requests. The code shown only queries finance data and formats reports.
Install Mechanism
No install spec in registry; SKILL.md asks the user to pip install yfinance, requests, pandas. This is expected but means dependencies will be fetched from PyPI at install/runtime — a normal but non-zero supply-chain risk. There is no download-from-arbitrary-URL or archive extraction.
Credentials
The skill declares no required environment variables or credentials and the code does not request secrets. That is proportionate for a tool that reads public market data. (The SKILL.md mentions Financial Modeling Prep in references but the supplied script does not require an API key.)
Persistence & Privilege
The skill does not request always:true and is user-invocable only. It does not modify other skills or system-wide agent settings. Autonomous invocation is allowed (platform default) but not combined with other concerning privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install financial-report-tracker - After installation, invoke the skill by name or use
/financial-report-tracker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Financial Report Tracker.
- Automatically retrieves tech company earnings calendars.
- Compares market expectations (EPS, revenue) with actual results.
- Interprets earnings reports: highlights key metric changes and summarizes management guidance.
- Generates standardized investment summaries in Markdown format.
- Command-line interface supports tracking, previewing, and reviewing company earnings reports.
Metadata
Frequently Asked Questions
What is Financial Report Tracker?
Automatically track tech company financial reports and generate investment summaries. Supports retrieving earnings calendars, market expectation comparisons,... It is an AI Agent Skill for Claude Code / OpenClaw, with 76 downloads so far.
How do I install Financial Report Tracker?
Run "/install financial-report-tracker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Financial Report Tracker free?
Yes, Financial Report Tracker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Financial Report Tracker support?
Financial Report Tracker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Financial Report Tracker?
It is built and maintained by OpenLark (@openlark); the current version is v1.0.0.
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