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 CommandCodeAI/agent-skills --skill aws-agentic-aigit clone --depth 1 https://github.com/CommandCodeAI/agent-skillsWrote 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/commandcodeai/agent-skills/aws-agentic-ai)<a href="https://agentmods.dev/skills/commandcodeai/agent-skills/aws-agentic-ai"><img src="https://agentmods.dev/badge/skills/commandcodeai/agent-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.
<a href="https://agentmods.dev/skills/commandcodeai/agent-skills/aws-agentic-ai"><img src="https://agentmods.dev/badge/skills/commandcodeai/agent-skills/aws-agentic-ai.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00060 | $0.01333 |
| Opus 5.5 | $0.00024 | $0.00533 |
| Sonnet 5.5 | $0.00012 | $0.00267 |
| Haiku 4.5 | $0.00006 | $0.00133 |
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 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- aws-agentic-ai — 95% identical, 3 lines differ
- aws-agentic-ai — 86% identical, 36 lines differ
How it starts
The opening of the file, as written. The whole thing — 118 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 seven core services. This skill guides you through service selection, deployment patterns, and integration workflows using AWS CLI.
AWS Documentation Requirement
CRITICAL: This skill requires AWS MCP tools for accurate, up-to-date AWS information.
Before Answering AWS Questions
-
Always verify using AWS MCP tools (if available):
mcp__aws-mcp__aws___search_documentationormcp__*awsdocs*__aws___search_documentation- Search AWS docsmcp__aws-mcp__aws___read_documentationormcp__*awsdocs*__aws___read_documentation- Read specific pagesmcp__aws-mcp__aws___get_regional_availability- Check service availability
-
If AWS MCP tools are unavailable:
- Guide user to configure AWS MCP: See AWS MCP Setup Guide
- Help determine which option fits their environment:
- Has uvx + AWS credentials → Full AWS MCP Server
- No Python/credentials → AWS Documentation MCP (no auth)
- If cannot determine → Ask user which option to use
When to Use This Skill
Use this skill when you need to:
- Deploy REST APIs as MCP tools for AI agents (Gateway)
- Execute agents in serverless runtime (Runtime)
- Add conversation memory to agents (Memory)
- Manage API credentials and authentication (Identity)
- Enable agents to execute code securely (Code Interpreter)
- Allow agents to interact with websites (Browser)
- Monitor and trace agent performance (Observability)
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 |
What ships with it
12 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.
- cross-service/credential-management.md 14 KB
- services/browser/README.md 10 KB
- services/code-interpreter/README.md 7.6 KB
- services/gateway/deploy-template.sh 2.8 KB runs code
- services/gateway/deployment-strategies.md 11 KB
- services/gateway/README.md 3.3 KB
- services/gateway/troubleshooting-guide.md 10 KB
- services/gateway/validate-deployment.sh 5.6 KB runs code
- services/identity/README.md 6.7 KB
- services/memory/README.md 8.1 KB
- services/observability/README.md 14 KB
- services/runtime/README.md 6.7 KB
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 · 118 lines · 60 tokens per session scan A 0b52d96cd4d9
aws-agentic-ai is a skill published in the GitHub repository CommandCodeAI/agent-skills (137 stars, last pushed 7mo ago), licensed MIT. It adds 60 tokens to every session and 1,333 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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