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Amazon Bedrock AgentCore · majiayu000 | DecimalAI

agent toolingby majiayu000

Amazon Bedrock AgentCore

majiayu000/bedrock-agentcore

Source majiayu000/claude-skill-registry ↗License MIT

Amazon Bedrock AgentCore platform for building, deploying, and operating production AI agents. Covers Runtime, Gateway, Browser, Code Interpreter, and Identity services.

SkillScore96Maintained

Automatic

AI Engineer pack

Last verified 8/18/2026

What it changes

Passed 24 of 25 test cases with the skill, and 5 of 25 without it.

Without skill20%

With skill96%

Checks it passed that the model alone missed

Calls delete_agent_runtime method.
Calls update_agent_runtime method.
Calls create_code_interpreter method.

and 31 more in the full report

19 fixed5 passed either way1 still failing0 broke

Pass-rate lift: +76 pp
Tokens: +97%
Agent turns: 0%
Response time: -42%

Model gemini-3.6-flashMeasured 8/18/2026v124 of 25 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/majiayu000-bedrock-agentcore/SKILL.md https://app.decimal.ai/s/majiayu000-bedrock-agentcore/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add majiayu000-bedrock-agentcore, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/majiayu000-bedrock-agentcore/ and pins it in .decimal/skills.lock

decimalai skills add majiayu000-bedrock-agentcore

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/majiayu000-bedrock-agentcore/SKILL.md https://app.decimal.ai/s/majiayu000-bedrock-agentcore/SKILL.md

Raw file: /s/majiayu000-bedrock-agentcore/SKILL.md ↗ · machine-readable summary at /s/majiayu000-bedrock-agentcore.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 19 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 19

Prompt

What command should be run to install the official Bedrock AgentCore Python SDK, Strands agent framework, and CLI starter toolkit?

What was checked, without and with the skill
Checked	Without skill	With skill
Executes pip install bedrock-agentcore strands-agents bedrock-agentcore-starter-toolkit.	Missed	Passed

case-19 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md516 linessingle file

Amazon Bedrock AgentCore

Overview

Amazon Bedrock AgentCore is an agentic platform for building, deploying, and operating effective AI agents securely at scale—no infrastructure management needed. It provides framework-agnostic primitives that work with popular open-source frameworks (Strands, LangGraph, CrewAI, Autogen) and any model.

Purpose: Transform any AI agent into a production-ready application with enterprise-grade infrastructure

Pattern: Capabilities-based (6 independent service modules)

Key Principles (validated by AWS December 2025):

Framework Agnostic - Works with any agent framework or model
Zero Infrastructure - Fully managed, no ops overhead
Session Isolation - Complete data isolation between sessions
Enterprise Security - VPC, PrivateLink, identity integration
Composable Services - Use only what you need
Production Ready - Built for scale, reliability, and security

Quality Targets:

Deployment: < 5 minutes from code to production
Latency: Low-latency to 8-hour async workloads
Observability: Full CloudWatch integration

When to Use

Use bedrock-agentcore when:

Building production AI agents on AWS
Need managed infrastructure for agent deployment
Require session isolation and enterprise security
Want to use existing agent frameworks (LangGraph, CrewAI, etc.)
Need browser automation or code execution capabilities
Integrating with existing identity providers

When NOT to Use:

Simple Bedrock model invocations (use bedrock-runtime)
Standard Bedrock Agents with action groups (use bedrock-agent)
Non-AWS deployments

Track record

Benchmark

24 / 25

test cases passed, vs 5 / 25 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

majiayu000 / claude-skill-registry

skills/agent/bedrock-agentcore-adaptationio-skrillz/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

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Ready to supercharge your AI agents?

See it in action

What's inside

Amazon Bedrock AgentCore

Overview

When to Use

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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