Stock_Analyzer
CheckedStock_Analyzer analyzes financial data to provide insights into a company’s performance and potential investment opportunities.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add zhulinsen/daily_stock_analysis --skill stock_analyzer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
zhulinsen
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Only contacts known or declared hosts: github.com, api.github.com, api.openai.com, 127.0.0.1.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
github.comsource hostapi.github.comsource hostapi.openai.commodel provider127.0.0.1localNo obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned zhulinsen/daily_stock_analysis at be148f39ce.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- be148f39ce
- Manifest
- SKILL.md
- Scanned
- 60 files, 13,711 lines
About this skill
What it does
The stock_analyzer skill provides daily analysis of stocks. It can retrieve and summarize stock data, including key metrics like open, high, low, close, and volume. This allows users to quickly understand recent stock performance without needing to manually gather information from various sources.
When to use it
- Morning Briefing: Get a quick overview of how your portfolio or specific stocks performed overnight.
- Investment Research: Quickly assess the daily trading activity and key metrics for potential investment opportunities.
- Market Monitoring: Stay informed about significant fluctuations in stock prices throughout the day.
- News Correlation: Understand how recent news events might be impacting a particular stock's performance.
Key capabilities
- Retrieves daily stock data.
- Summarizes key metrics (open, high, low, close, volume).
- Provides daily analysis of stocks.
Example prompts
- "What was the daily analysis for AAPL today?"
- "Give me a summary of TSLA's performance yesterday."
- "Analyze GOOG stock and tell me about its recent trading activity."
Tips & gotchas
The skill requires an internet connection to retrieve real-time stock data. The accuracy of the analysis depends on the reliability of the underlying data sources.