Financial Report Tracker

Automatically track tech company financial reports and generate investment summaries. Supports retrieving earnings calendars, market expectation comparisons,...

Security Scan

The skill's code and instructions align with its stated purpose (fetching earnings data via yfinance and formatting reports); it does not request credentials or perform unexplained actions.

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.

Assessment

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.

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

1. Earnings Calendar Tracking — Automatically retrieve target company earnings release dates
2. Market Expectation Comparison — EPS/Revenue expectations vs. actual data
3. 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 <ticker>
preview	Earnings preview analysis	python scripts/earnings_tracker.py preview <ticker>
review	Earnings interpretation	python scripts/earnings_tracker.py review <ticker> --quarter <Q1/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