Official agent skill

Financial News

by aws-samples in aws-samples/sample-strands-agent-with-agentcore

Stock quotes, price history, financial news, and analysis. An agent skill from aws-samples/sample-strands-agent-with-agentcore.

OfficialMITAuto-check passedBusiness, Finance & HR

Install Financial News

skills CLI
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill financial-news -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aws-samples/sample-strands-agent-with-agentcore financial-news --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/chatbot-app/agentcore/skills/financial-news .claude/skills/financial-news && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
financial-news
GitHub stars
195
Token cost
~359 tokens
SKILL.md length
161 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

Stock quotes, price history, financial news, and analysis. An agent skill from aws-samples/sample-strands-agent-with-agentcore.

  • Business, Finance & HR work in your project
  • SKILL.md covers Available Tools and Usage Guidelines
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Financial News is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. Stock quotes, price history, financial news, and analysis

Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. The repository describes itself as: Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore. The licence is MIT.

When your agent uses it

  • Business, Finance & HR work in your project

Example prompts

  • “/financial-news”

What it can do on your machine

Read from SKILL.md and the folder at commit cd66e48. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Financial News loads about 359 tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 161 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~18
When it runs · the whole SKILL.md, loaded when a task matches
~359

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aws-samples/sample-strands-agent-with-agentcore at commit cd66e48, republished under its MIT licence (© aws-samples). 161 words, ~359 tokens.

Download SKILL.mdSave it as .claude/skills/financial-news/SKILL.md (or your agent's skills folder).
name
financial-news
description
Stock quotes, price history, financial news, and analysis

Financial Market

Available Tools

  • stock_quote(symbol): Get current stock quote with key metrics.

    • symbol (string, required): Stock ticker symbol (e.g., "AAPL", "GOOGL", "MSFT")
  • stock_history(symbol, period?): Get historical stock price data for charting and trend analysis.

    • symbol (string, required): Stock ticker symbol
    • period (string, optional, default: "1mo"): Time period (e.g., "1mo", "3mo", "6mo", "1y", "5y")
  • financial_news(symbol, count?): Get latest financial news articles for a stock.

    • symbol (string, required): Stock ticker symbol
    • count (integer, optional, default: 5): Number of news items to return
  • stock_analysis(symbol): Get comprehensive stock analysis including valuation, financials, and analyst recommendations.

    • symbol (string, required): Stock ticker symbol

Usage Guidelines

  • Use standard ticker symbols (e.g., AAPL, MSFT, GOOGL, AMZN).
  • For stock quotes, present data in a clear tabular format with key metrics highlighted.
  • When showing historical data, mention the time period and any notable trends.
  • Combine stock_quote + stock_analysis for comprehensive investment overviews.
  • Always include a disclaimer that this is informational only, not investment advice.
  • Use financial_news to provide context on price movements.

© aws-samples, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in chatbot-app/agentcore/skills/financial-news of aws-samples/sample-strands-agent-with-agentcore.

Open the folder on GitHubat commit cd66e48

Compare with similar skills

Financial News next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Financial News compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Financial News this skillaws-samples/sample-strands-agent-with-agentcore195—~359Automated safety check: PassMIT
Technical Analysttradermonty/claude-trading-skills3k4 repos~4.6kAutomated safety check: PassMIT
Theme Detectortradermonty/claude-trading-skills3k2 repos~4.9kAutomated safety check: PassMIT
Creating Financial ModelsChen-zexi/open-ptc-agent7293 repos~1.3kAutomated safety check: PassMIT
Stock APIzhangxiangliang/stock-api2k—~507Automated safety check: PassMIT
Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT

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Questions about Financial News

What does Financial News do?

Stock quotes, price history, financial news, and analysis. An agent skill from aws-samples/sample-strands-agent-with-agentcore. Financial News is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization.

When should I use Financial News?

Financial News fits situations like: business, Finance & HR work in your project.

How do I install Financial News in Claude Code?

Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill financial-news -a claude-code`. Or copy the skill folder (chatbot-app/agentcore/skills/financial-news in aws-samples/sample-strands-agent-with-agentcore) into .claude/skills/financial-news in your project. Claude Code loads it when a task matches its description.

How do I install Financial News in Codex?

Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill financial-news -a codex`. Or copy the skill folder (chatbot-app/agentcore/skills/financial-news in aws-samples/sample-strands-agent-with-agentcore) into .agents/skills/financial-news in your project. Codex loads it when a task matches its description.

Can I use Financial News in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill financial-news -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/financial-news, .gemini/skills/financial-news, .github/skills/financial-news and .opencode/skills/financial-news in your project.

What does Financial News need to run?

SKILL.md names no scripts, command-line tools or credentials: Financial News is instructions for the agent only.

Does Financial News access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Financial News safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Financial News use?

Financial News is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Financial News use?

About 359 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Financial News?

Skills that share tags, products or a category with Financial News: Technical Analyst (tradermonty/claude-trading-skills, 3k stars), Theme Detector (tradermonty/claude-trading-skills, 3k stars), Creating Financial Models (Chen-zexi/open-ptc-agent, 729 stars) and Stock API (zhangxiangliang/stock-api, 2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Financial News?

aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-strands-agent-with-agentcore, which has 195 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.

Source: aws-samples/sample-strands-agent-with-agentcore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.