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 sammcj/agentic-coding --skill aws-strands-agents-agentcoregit clone --depth 1 https://github.com/sammcj/agentic-codingWrote 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/sammcj/agentic-coding/aws-strands-agents-agentcore)<a href="https://agentmods.dev/skills/sammcj/agentic-coding/aws-strands-agents-agentcore"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/aws-strands-agents-agentcore/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/sammcj/agentic-coding/aws-strands-agents-agentcore"><img src="https://agentmods.dev/badge/skills/sammcj/agentic-coding/aws-strands-agents-agentcore.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.02756 |
| Opus 5.5 | $0.00022 | $0.01102 |
| Sonnet 5.5 | $0.00011 | $0.00551 |
| Haiku 4.5 | $0.00006 | $0.00276 |
Grade A, and why
aws-strands-agents-agentcore 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 1mo 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 — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Strands Agents & AgentCore
Overview
AWS Strands Agents SDK: Open-source Python framework for building AI agents with model-driven orchestration (minimal code, model decides tool usage)
Amazon Bedrock AgentCore: Enterprise platform for deploying, operating, and scaling agents in production
Relationship: Strands SDK runs standalone OR with AgentCore platform services. AgentCore is optional but provides enterprise features (8hr runtime, streaming, memory, identity, observability).
Quick Start Decision Tree
What are you building?
Single-purpose agent:
- Event-driven (S3, SQS, scheduled) → Lambda deployment
- Interactive with streaming → AgentCore Runtime
- API endpoint (stateless) → Lambda
Multi-agent system:
- Deterministic workflow → Graph Pattern
- Autonomous collaboration → Swarm Pattern
- Simple delegation → Agent-as-Tool Pattern
Tool/Integration Server (MCP):
- ALWAYS deploy to ECS/Fargate or AgentCore Runtime
- NEVER Lambda (stateful, needs persistent connections)
See architecture.md for deployment examples.
Critical Constraints
MCP Server Requirements
- Transport: MUST use
streamable-http(NOTstdio) - Endpoint: MUST be at
0.0.0.0:8000/mcp - Deployment: MUST be ECS/Fargate or AgentCore Runtime (NEVER Lambda)
- Headers: Must accept
application/jsonandtext/event-stream
Why: MCP servers are stateful and need persistent connections. Lambda is ephemeral and unsuitable.
See limitations.md for details.
Tool Count Limits
- Models struggle with > 50-100 tools
- Solution: Implement semantic search for dynamic tool loading
See patterns.md for implementation.
Token Management
- Claude 4.5: 200K context (use ~180K max)
- Long conversations REQUIRE conversation managers
- Multi-agent costs multiply 5-10x
See limitations.md for strategies.
What ships with it
5 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.
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.
- 1mo ago First seen · 373 lines · 55 tokens per session scan A 03ae087c8b1f
aws-strands-agents-agentcore is a skill published in the GitHub repository sammcj/agentic-coding (165 stars, last pushed today), licensed Apache-2.0. It adds 55 tokens to every session and 2,756 once invoked, about $0.0002 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.
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