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Analyze

Checked
allenai2014·vlatest·other

Quickly extracts key facts, relationships, and sentiment from text passages to inform decision-making.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add allenai2014/ai-investment-advisor --skill analyze -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

allenai2014

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

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

    Makes no network calls.

    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.

  • No 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 allenai2014/ai-investment-advisor at 0fe50658fc.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 445 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, Analyze, provides a data-driven investment analysis framework for stocks, ETFs, and other financial instruments. It leverages a three-tiered approach: macro environment, industry analysis, and individual stock technicals to generate insights. The tool analyzes market trends, sector performance, and individual stock metrics like moving averages, MACD, RSI, and volume patterns to provide a comprehensive assessment suitable for informing investment decisions.

When to use it

  • Analyzing specific stocks or ETFs before making an investment decision (e.g., /analyze 588000).
  • Gaining insights into market trends and sector performance.
  • Evaluating the technical health of a stock using indicators like MACD and RSI.
  • Understanding Northbound capital flow to assess investor sentiment.
  • Supplementing existing research with automated data analysis.

Key capabilities

  • Macro Environment Analysis: Evaluates market cycles, index trends (e.g.,沪深300 vs MA20), Northbound capital flow, and market sentiment.
  • Industry Analysis: Assesses sector strength, net inflows of funds into sectors, ETF comparisons, and policy catalysts.
  • Individual Stock Technical Analysis: Analyzes trends using moving averages, momentum indicators (MACD, RSI), volume patterns, and position analysis (ATR stop-loss).
  • Score Generation: Provides a 100-point comprehensive score based on the analysis.
  • User Configuration Integration: Incorporates user holdings, watchlist, and investment style from configuration files.
  • Web Search Supplementation: Can be used to retrieve company financial reports, announcements, or research reports (with source annotation).

Example prompts

  • /analyze 588000 - Analyze the ETF with ticker 588000.
  • /analyze 00700 - Analyze the Hong Kong stock with ticker 00700.
  • /analyze 比亚迪 - Analyze BYD (Build Your Dreams) using its name.

Tips & gotchas

  • The analysis relies on a fetch_full_analysis.py script, which must be executed first. For Hong Kong stocks, specify --market hk.
  • Web Search is only for retrieving specific data like financial reports and research; it should not be used to obtain price data or fabricate technical indicators.
  • The analysis framework prioritizes data from fetch_full_analysis.py, user configuration files, and WebSearch (when necessary).