Sample Strands Agent with Amazon Bedrock AgentCore is an end-to-end reference architecture for building multi-agent chatbots on AWS. Teams use it to explore agent orchestration, tool execution, memory, browser automation, and agent-to-agent collaboration with Strands Agents and Bedrock AgentCore.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aws-samples/sample-strands-agent-with-agentcore --skill financial-newsgit clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcoreWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/financial-news)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/financial-news"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/financial-news/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/financial-news"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/financial-news.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00014 | $0.00346 |
| Opus 5.5 | $0.00006 | $0.00138 |
| Sonnet 5.5 | $0.00003 | $0.00069 |
| Haiku 4.5 | $0.00001 | $0.00035 |
Grade A, and why
financial-news scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
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 symbolperiod(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 symbolcount(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_analysisfor comprehensive investment overviews. - Always include a disclaimer that this is informational only, not investment advice.
- Use
financial_newsto provide context on price movements.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 32 lines · 14 tokens per session scan A 7a319e8bce84
financial-news is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (197 stars, last pushed 5d ago), licensed MIT. It adds 14 tokens to every session and 346 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
financial-news compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| financial-newsaws-samples/sample-strands-agent-with-agentcore | Skill | 197 | 5d ago | MIT | A | 14 | Claude Code, Codex |
| x402browser-use/browser-use | Skill | 120k | yesterday | MIT | A | 175 | Claude Code |
| finance-dataBitterbot-AI/bitterbot-desktop | Skill | 2.5k | today | MIT | A | 22 | Claude Code, Codex |
| currencyAtomicBot-ai/atomic-agent | Skill | 3.4k | 8d ago | MIT | A | 33 | Claude Code, Codex |
| wallet-paymentsBitterbot-AI/bitterbot-desktop | Skill | 2.5k | today | MIT | A | 57 | Claude Code, Codex |
| forage-economyBitterbot-AI/bitterbot-desktop | Skill | 2.5k | today | MIT | A | 50 | Claude Code, Codex |
| frankfurtera2aproject/a2a-samples | Skill | 1.8k | 17d ago | Apache-2.0 | A | 14 | Claude Code, Codex |