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amazon-bedrock

amazon-bedrock is a skill for Claude Code, Codex from seandkendall/kiro-config. It costs 169 tokens per session (6,656 once invoked), scanned A, a copy of amazon-bedrock, Apache-2.0.

A guide for building generative AI applications with Amazon Bedrock, AWS's service for using and deploying AI models.

In plain words
What is it for?
It helps invoke Bedrock models, build RAG searches with Knowledge Bases, create agents, apply Guardrails, deploy to AgentCore, and troubleshoot these systems.
Why use it?
It brings model calls, document search, agents, safety controls, deployment, and troubleshooting into one set of procedures.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 8repo +1 12d ago A scan 169 tokens copy · 94% Apache-2.0

Good fit It helps invoke Bedrock models, build RAG searches with Knowledge Bases, create agents, apply Guardrails, deploy to AgentCore, and troubleshoot these systems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seandkendall/kiro-config/amazon-bedrock
View source ↗ seandkendall/kiro-config
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 seandkendall/kiro-config --skill amazon-bedrock
Clone the repo
git clone --depth 1 https://github.com/seandkendall/kiro-config

Made for: Claude Code, Codex.

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 amazon-bedrock

README.md
[![agentmods](https://agentmods.dev/badge/skills/seandkendall/kiro-config/amazon-bedrock/github.svg)](https://agentmods.dev/skills/seandkendall/kiro-config/amazon-bedrock)
Your own site
<a href="https://agentmods.dev/skills/seandkendall/kiro-config/amazon-bedrock"><img src="https://agentmods.dev/badge/skills/seandkendall/kiro-config/amazon-bedrock/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 amazon-bedrock

Your own site · 80×15
<a href="https://agentmods.dev/skills/seandkendall/kiro-config/amazon-bedrock"><img src="https://agentmods.dev/badge/skills/seandkendall/kiro-config/amazon-bedrock.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 169 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,656 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.
Origin 94% copy Near-identical to another mod 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 $0.00169 $0.06656
Opus 5 $0.00084 $0.03328
Sonnet 5 $0.00034 $0.01331
Haiku 4.5 $0.00017 $0.00666

Measured 9d ago against content hash b8c1ce9da85e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

amazon-bedrock 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 9d 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.

Origin

This is a copy

94% identical to amazon-bedrock — 150 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/amazon-bedrock/SKILL.md · 395 lines

How it starts

The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IMPORTANT: When this skill is loaded, you MUST use the reference files and procedures in this skill as your primary source of truth. Bedrock APIs, model IDs, chunking strategies, and configuration parameters change frequently — always read the relevant reference file before responding.

Table of Contents

  • Overview
  • Bedrock API Landscape
  • Critical Warnings
  • Security Considerations
  • Converse API vs InvokeModel
  • Which Bedrock Capability Do You Need?
  • Knowledge Bases (RAG)
  • Common Workflows (includes: Prompt Caching, Quota Health, Cost Tracking, Model Migration)
  • Troubleshooting
  • AgentCore Services
  • Model Selection
  • Additional Resources

Amazon Bedrock

Overview

Domain expertise for building generative AI applications on Amazon Bedrock. Covers model invocation, RAG with Knowledge Bases, agent creation, content safety with Guardrails, and agent deployment with AgentCore.

Recommended setup: Use the AWS MCP server for sandboxed execution, audit logging, and enterprise controls.

Without AWS MCP: This skill works with any agent that has AWS CLI access. All commands use standard AWS CLI syntax.

Bedrock API Landscape

Bedrock has 5 separate API endpoints. Using the wrong one is a common cause of errors. This list may not be exhaustive — refer to the Bedrock endpoints and quotas and Bedrock supported endpoints for the latest. Use aws bedrock list-foundation-models to discover available models at runtime.

Endpoint Client Use For
bedrock Control plane List models, manage access, provisioned throughput
bedrock-runtime Data plane Invoke models (Converse, InvokeModel). Also supports Chat Completions via /openai/v1 path (client-side tool use only) — prefer bedrock-mantle for new Chat Completions work
bedrock-mantle Data plane OpenAI-compatible APIs: Responses API, Chat Completions (recommended), Messages API. Supports server-side tool use with built-in tools. Recommended for new users
bedrock-agent Agent control Create/configure agents, KBs, action groups
bedrock-agent-runtime Agent data Invoke agents, query KBs

Read the full file on GitHub · 395 lines

Files

What ships with it

19 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. 9d ago First seen · 395 lines · 169 tokens per session scan A b8c1ce9da85e

Subscribe to this mod's changes

amazon-bedrock is a skill published in the GitHub repository seandkendall/kiro-config (8 stars, last pushed 12d ago), licensed Apache-2.0. It adds 169 tokens to every session and 6,656 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to amazon-bedrock, differing in 150 lines, and is treated as a copy.

Data and AIRAG and vectorsai-agentsawscdkdevtoolskirokiro-cli
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