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 google-mapsgit 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/google-maps)<a href="https://agentmods.dev/skills/aws-samples/sample-strands-agent-with-agentcore/google-maps"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/google-maps/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/google-maps"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-strands-agent-with-agentcore/google-maps.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 System Prompt Leakage · line 72 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 99 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00016 | $0.01380 |
| Opus 5.5 | $0.00006 | $0.00552 |
| Sonnet 5.5 | $0.00003 | $0.00276 |
| Haiku 4.5 | $0.00002 | $0.00138 |
Grade A, and why
google-maps 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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Maps
Available Tools
-
search_places(query, location?, radius?, type?, open_now?, language?): Search for places using text query.
query(string, required): Search text (e.g., "restaurants in Seoul")location(string, optional): Center location as "lat,lng" (e.g., "37.5665,126.9780")radius(integer, optional): Search radius in meters (max 50,000)type(string, optional): Place type filter (e.g., "restaurant", "tourist_attraction", "hotel")open_now(boolean, optional, default: false): Only return currently open placeslanguage(string, optional, default: "en"): Language code
-
search_nearby_places(location, radius, keyword?, type?, rank_by?, open_now?, language?): Search near specific coordinates.
location(string, required): Center as "lat,lng" (e.g., "37.5665,126.9780")radius(integer, required): Search radius in meters (max 50,000)keyword(string, optional): Search keywordtype(string, optional): Place type filterrank_by(string, optional, default: "prominence"): "prominence" or "distance"open_now(boolean, optional, default: false): Only open placeslanguage(string, optional, default: "en"): Language code
-
get_place_details(place_id, language?): Get detailed place info including reviews and hours.
place_id(string, required): Place ID from search resultslanguage(string, optional, default: "en"): Language code
-
get_directions(origin, destination, mode?, alternatives?, avoid?, language?): Get directions between two locations.
origin(string, required): Starting point (address or "lat,lng")destination(string, required): Destination (address or "lat,lng")mode(string, optional, default: "driving"): "driving", "walking", "bicycling", "transit"alternatives(boolean, optional, default: false): Return alternative routesavoid(string, optional): "tolls", "highways", or "ferries"language(string, optional, default: "en"): Language code
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 · 102 lines · 16 tokens per session scan A 2c49604028f9
google-maps 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 16 tokens to every session and 1,380 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.
google-maps compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| google-mapsaws-samples/sample-strands-agent-with-agentcore | Skill | 197 | 5d ago | MIT | A | 16 | Claude Code, Codex |
| mk:agent-browserngocsangyem/MeowKit | Skill | 15 | 5d ago | MIT | A | 114 | Claude Code |
| draw-imageai-sns/ai-sns | Skill | 323 | 3mo ago | MIT | A | 67 | Claude Code, Codex |
| governed-postgres-agentaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 54 | Claude Code, Codex |
| care-and-returnsaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 29 | Claude Code, Codex |
| evidenceaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 38 | Claude Code, Codex |
| giftsaws-samples/sample-pellier-agentic-search-apg | Skill | 12 | yesterday | MIT | A | 0 | Claude Code, Codex |