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 agentmods add skills/awslabs/agentcore-samples/benefits-advisornpx skills add awslabs/agentcore-samples --skill benefits-advisorgit 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/benefits-advisor)<a href="https://agentmods.dev/skills/awslabs/agentcore-samples/benefits-advisor"><img src="https://agentmods.dev/badge/skills/awslabs/agentcore-samples/benefits-advisor.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00023 | $0.00196 |
| Opus 5 | $0.00012 | $0.00098 |
| Sonnet 5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00002 | $0.00020 |
Grade A, and why
benefits-advisor 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 6d 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
Benefits Advisor Instructions
Use this skill when an employee asks about health, dental, vision, 401(k), or life-insurance benefits.
Required workflow
- Identify the benefit type in the employee's request.
- Call
get_benefits_summaryfor that benefit type. Do not answer from general knowledge. - If the tool reports that the benefit type is unavailable, list the available types and ask the employee to choose one.
- Return a concise Benefits Summary containing:
- Benefit type
- Eligibility
- Employee cost
- Coverage or employer contribution
- Important plan details returned by the tool
- Clearly distinguish plan facts from general guidance, and do not invent coverage, costs, or eligibility rules.
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.
- 6d ago First seen · 24 lines · 23 tokens per session scan A bd4bd49b3ac9
benefits-advisor is a skill published in the GitHub repository awslabs/agentcore-samples (3,336 stars, last pushed today), licensed Apache-2.0. It adds 23 tokens to every session and 196 once invoked, about $0.0001 per session on Opus 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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