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 notiongit 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/notion)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/notion"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/notion/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/notion"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/notion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Prompt Injection · line 17 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00033 | $0.01370 |
| Opus 5.5 | $0.00013 | $0.00548 |
| Sonnet 5.5 | $0.00007 | $0.00274 |
| Haiku 4.5 | $0.00003 | $0.00137 |
Grade A, and why
notion 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.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Notion
Available Tools
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notion_search(query?, filter_type?, page_size?): Search across all accessible pages and databases.
query(string, optional): Search text. Empty string returns all accessible pages.filter_type(string, optional):"page"or"database". Use"database"to list databases.page_size(integer, optional, default: 10, max: 100)
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notion_fetch(page_id, include_block_ids?): Fetch a page's full content as readable markdown (metadata + all blocks in one call).
page_id(string, required): Page or database entry ID.include_block_ids(boolean, optional, default: false): If true, appends each block's ID as<!-- id:... -->. Use this when you need to update a specific block withnotion_update_block.- Returns: title, URL, last-edited time, and full body as markdown.
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notion_create_page(parent_type, parent_id, title, properties_json?, content_markdown?): Create a new page.
parent_type(string, required):"database","page", or"workspace"(workspace root)parent_id(string, required): Parent UUID — ignored whenparent_type="workspace"title(string, required): Page titleproperties_json(string, optional): Database properties as a JSON string — e.g.,'{"Status": {"select": {"name": "In Progress"}}}'content_markdown(string, optional): Initial body content as markdown (see Markdown Support below)
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notion_update_page(page_id, properties_json, archived?): Update page properties (metadata/database fields only, not content blocks).
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notion_update_block(block_id, content_markdown): Replace the content of a specific existing block.
block_id(string, required): Block ID — obtain vianotion_fetch(include_block_ids=True)content_markdown(string, required): New content as a single markdown line (only the first block is used)page_id(string, required)properties_json(string, required): Properties as a JSON stringarchived(boolean, optional):trueto archive,falseto unarchive
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 129 lines · 33 tokens per session scan A c881eafd16eb
notion is a skill published in the GitHub repository aws-samples/sample-strands-agent-with-agentcore (197 stars, last pushed 6d ago), licensed MIT. It adds 33 tokens to every session and 1,370 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.
Other skills, from other repositories
notion
Search, read, create, and update Notion pages via the Notion MCP.
recipe-create-doc-from-template
Copy a Google Docs template, fill in content, and share with collaborators.
github
Drive GitHub via the official gh CLI — repos, issues, pull requests, releases, gists, Actions runs, and raw REST through gh api. Use when the user asks to inspect or manage GitHub.
xlsx
Create and edit Excel .xlsx workbooks (sheets, cells, formulas, formatting) via Python openpyxl. Use to generate spreadsheets or write/update cells. Reading is via os.fs.readdocument.
pandoc
Convert documents between formats (Markdown, DOCX, HTML, PDF, RST, EPUB, LaTeX) via the pandoc CLI. Use to transform a document from one format to another.
google-workspace-ops
Operate across Google Drive, Docs, Sheets, and Slides as one workflow surface for plans, trackers, decks, and shared documents. Use when the user needs to find, summarize, edit, migrate, or clean up Google Workspace assets without dropping to raw tool calls.