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aws-agentic-ai

aws-agentic-ai is a skill for Claude Code from zxkane/aws-skills. It costs 127 tokens per session (2,193 once invoked), scanned A, original, MIT.

Reference guidance for Amazon Bedrock AgentCore, AWS services for deploying, connecting, securing, observing, and evaluating AI agents. It covers services including runtimes, gateways, memory, identity, browsers, code execution, registries, and evaluations.

In plain words
What is it for?
Use it to deploy and manage AI agents, connect them to MCP tools, configure credentials and identities, add memory or code execution, register agents, and monitor or evaluate them.
Why use it?
It helps choose the right AgentCore service and follow deployment and integration patterns without relying on outdated AWS details. It also directs the agent to verify service facts against AWS documentation.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; built for openclaw.

not rated 373repo 4mo ago A scan Socket: warnSnyk: warnSkillSpector: warn 127 tokens original MIT

Good fit Use it to deploy and manage AI agents, connect them to MCP tools, configure credentials and identities, add memory or code execution, register agents, and monitor or evaluate them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zxkane/aws-skills/aws-agentic-ai
View source ↗ zxkane/aws-skills skills.sh
Install

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.

Any agent
npx skills add zxkane/aws-skills --skill aws-agentic-ai
Clone the repo
git clone --depth 1 https://github.com/zxkane/aws-skills

Made for: Claude Code.

Its marketplace also offers this one on its own, as the plugin aws-agentic-ai — /plugin install aws-agentic-ai after adding the marketplace above.

Wrote 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.

agentmods badge for aws-agentic-ai

README.md
[![agentmods](https://agentmods.dev/badge/skills/zxkane/aws-skills/aws-agentic-ai/github.svg)](https://agentmods.dev/skills/zxkane/aws-skills/aws-agentic-ai)
Your own site
<a href="https://agentmods.dev/skills/zxkane/aws-skills/aws-agentic-ai"><img src="https://agentmods.dev/badge/skills/zxkane/aws-skills/aws-agentic-ai/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.

agentmods 80×15 button for aws-agentic-ai

Your own site · 80×15
<a href="https://agentmods.dev/skills/zxkane/aws-skills/aws-agentic-ai"><img src="https://agentmods.dev/badge/skills/zxkane/aws-skills/aws-agentic-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,193 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket warn 15 Sept 2026
  • Snyk warn 15 Sept 2026
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 3 findings, up to medium

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 →

  • medium Excessive Agency · line 7
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
  • medium Data Exfiltration · line 19
    Data is uploaded to cloud storage (S3 / GCS / Azure Blob). This may be a legitimate backup or exfiltration to an external bucket. Manual review is recommended.
    Fix: Verify the destination bucket is trusted and owned by you. Never upload credentials, secrets, or workspace contents to external or unverified cloud storage.
  • medium Excessive Agency · line 86
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00127 $0.02193
Opus 5.5 $0.00051 $0.00877
Sonnet 5.5 $0.00025 $0.00439
Haiku 4.5 $0.00013 $0.00219

Measured 2mo ago against content hash b729476e3de0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aws-agentic-ai 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.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/a2a-server-template.py, scripts/agui-server-template.py, scripts/gateway-custom-resource-lambda.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

plugins/aws-agentic-ai/skills/aws-agentic-ai/SKILL.md · 150 lines

How it starts

The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS Bedrock AgentCore

AWS Bedrock AgentCore provides a complete platform for deploying and scaling AI agents with nine core services. This skill covers service selection, deployment patterns, and integration workflows using AWS CLI.

How to use this skill: Identify the service(s) the user needs from the table below, then read the corresponding service README before responding. For cross-service patterns (credentials, security, registry integration), check the Cross-Service Resources section. Verify AWS-specific details using the MCP documentation tools.

AWS Documentation Requirement

Always verify AWS facts using MCP tools before answering. Two documentation sources are available:

  • AgentCore-specific docs (mcp__acdocs__*) — bundled with this plugin, provides search_agentcore_docs and fetch_agentcore_doc for AgentCore documentation
  • General AWS docs (mcp__aws-mcp__* or mcp__*awsdocs*__*) — loaded via the aws-mcp-setup dependency for broader AWS documentation

Prefer the AgentCore docs MCP for AgentCore-specific questions. If MCP tools are unavailable, guide the user through the aws-mcp-setup skill's setup flow.

Available Services

Service Use For Documentation
Gateway Converting REST APIs to MCP tools services/gateway/README.md
Runtime Deploying and scaling agents services/runtime/README.md
Memory Managing conversation state services/memory/README.md
Identity Credential and access management services/identity/README.md
Code Interpreter Secure code execution in sandboxes services/code-interpreter/README.md
Browser Web automation and scraping services/browser/README.md
Observability Tracing and monitoring services/observability/README.md
Agent Registry Catalog, discover, and govern agents/tools (Preview) services/registry/README.md
Evaluations Automated agent quality assessment (LLM-as-a-Judge) services/evaluations/README.md

Read the full file on GitHub · 150 lines

Files

What ships with it

31 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.

Changes

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.

  1. 2mo ago First seen · 150 lines · 127 tokens per session scan A b729476e3de0

Subscribe to this mod's changes

aws-agentic-ai is a skill published in the GitHub repository zxkane/aws-skills (373 stars, last pushed 4mo ago), licensed MIT. It adds 127 tokens to every session and 2,193 once invoked, about $0.0005 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.

Building agentsCloudDevOps and cloudagent-skillsanthropicawsaws-agentcoreaws-cdkaws-cost-optimization
Related

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aws-agentic-ai next to 6 skills from other repositories
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