Amazon Bedrock AgentCore Samples is a collection of examples and tutorials for deploying and operating AI agents with Amazon Bedrock AgentCore. Developers use it to integrate agent applications built with different frameworks and language models while learning AgentCore features. The catalogue add-ons provide agent-oriented guidance for working with these samples and services.
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 awslabs/agentcore-samples --skill trend-analysisgit clone --depth 1 https://github.com/awslabs/agentcore-samplesWrote 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/awslabs/agentcore-samples/trend-analysis)<a href="https://agentmods.dev/skills/awslabs/agentcore-samples/trend-analysis"><img src="https://agentmods.dev/badge/skills/awslabs/agentcore-samples/trend-analysis/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/awslabs/agentcore-samples/trend-analysis"><img src="https://agentmods.dev/badge/skills/awslabs/agentcore-samples/trend-analysis.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 | $0.00021 | $0.00385 |
| Opus 5.5 | $0.00008 | $0.00154 |
| Sonnet 5.5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
trend-analysis 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 1mo 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
Trend Analysis Skill
Use this skill when a user asks about price trends, momentum, technical analysis, or whether a stock is trending up or down.
Required workflow
- Retrieve current stock data using
get_stock_datafor each symbol in the request. - Retrieve sector data for the stock's sector using
get_sector_data. - Search for recent news affecting the stock using
search_newswith the stock's sector. - Evaluate momentum: classify the trend as Uptrend, Downtrend, or Sideways based on:
- Daily price change direction and magnitude
- Sector trend (outperforming / underperforming / neutral)
- News sentiment (positive / negative / mixed)
- Identify key support level: approximate as price × 0.95 (−5% from current).
- Identify key resistance level: approximate as price × 1.05 (+5% from current).
- Assign a confidence score (Low / Medium / High) based on alignment across price, sector, and news signals.
- Output a structured Trend Analysis Report with: symbol, current price, trend direction, momentum signal, key levels, and confidence.
Output Format
Trend Analysis: {SYMBOL}
Price : ${price} ({change_pct:+.2f}% today)
Trend : {Uptrend | Downtrend | Sideways}
Momentum : {signal description}
Support : ${support}
Resistance : ${resistance}
Confidence : {Low | Medium | High}
Summary : {1-2 sentence rationale}
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.
- 1mo ago First seen · 40 lines · 21 tokens per session scan A 8184b68a91e0
trend-analysis is a skill published in the GitHub repository awslabs/agentcore-samples (3,457 stars, last pushed 3d ago), licensed Apache-2.0. It adds 21 tokens to every session and 385 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.
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kirocrew-app-dev
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goal-conductor
Own a goal too large for one session ('clear the flaky-test backlog', 'push N PRs green') end to end via the work ledger — decompose into items, one session per item, read worker status as data, verify claims with the acceptance evaluator, decide each round until done. Use when handed such a goal.
security-conductor
Operating procedure for the kirocrew-security-conductor agent. Use when a security conductor session is seeded, inspected or debugged. Run vulnerability discovery on one target as a supervised fleet — one auditor per attack surface, an independent verifier per finding, two human gates.
computer-use
Read and drive native desktop apps through the accessibility layer — list apps, snapshot a window as a numbered element tree, then click/type/scroll/drag by element index or screen coordinates. Use for a desktop app, not a web page. macOS + Windows; off unless enabled in Settings.