Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.
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 aws/agent-toolkit-for-aws --skill aws-social-messaginggit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWrote 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/aws/agent-toolkit-for-aws/aws-social-messaging)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/aws-social-messaging"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/aws-social-messaging/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/aws/agent-toolkit-for-aws/aws-social-messaging"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/aws-social-messaging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Privilege Escalation · line 89 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
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 | $0.00086 | $0.02428 |
| Opus 5 | $0.00043 | $0.01214 |
| Sonnet 5 | $0.00017 | $0.00486 |
| Haiku 4.5 | $0.00009 | $0.00243 |
Grade A, and why
aws-social-messaging 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 6d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS End User Messaging Social — WhatsApp
Overview
WhatsApp messaging via AWS End User Messaging Social: template management, sending, media handling, event destinations, and delivery troubleshooting.
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.
Common Tasks
1. Verify Dependencies
Constraints:
- The AWS MCP server is recommended for seamless API execution but not required — all commands use standard AWS CLI syntax
- You MUST verify the AWS CLI is installed and configured with appropriate credentials
- You SHOULD recommend the user assume an IAM role with ephemeral credentials
- You MUST inform the user if any required tool is missing and how to install/configure it
- You MUST ask the user if they want to proceed despite any missing tools
- If the
aws socialmessagingsubcommand is not recognized, the user must update to the latest AWS CLI version - Required IAM permissions (scope to specific WABA and phone number ARNs):
- Templates:
social-messaging:CreateWhatsAppMessageTemplate,social-messaging:GetWhatsAppMessageTemplate,social-messaging:ListWhatsAppMessageTemplates,social-messaging:UpdateWhatsAppMessageTemplate,social-messaging:DeleteWhatsAppMessageTemplate,social-messaging:ListWhatsAppTemplateLibrary,social-messaging:CreateWhatsAppMessageTemplateFromLibrary - Sending:
social-messaging:SendWhatsAppMessage - Media:
social-messaging:PostWhatsAppMessageMedia,social-messaging:CreateWhatsAppMessageTemplateMedia,social-messaging:GetWhatsAppMessageMedia,social-messaging:DeleteWhatsAppMessageMedia - Events:
social-messaging:PutWhatsAppBusinessAccountEventDestinations - Diagnostics:
social-messaging:GetLinkedWhatsAppBusinessAccount,social-messaging:GetLinkedWhatsAppBusinessAccountPhoneNumber,social-messaging:ListLinkedWhatsAppBusinessAccounts - Supporting:
sns:ListSubscriptionsByTopic,iam:PassRole(for event destination role)
- Templates:
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.
- 6d ago First seen · 158 lines · 86 tokens per session scan A 8e2cffc48247
aws-social-messaging is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,569 stars, last pushed yesterday), licensed Apache-2.0. It adds 86 tokens to every session and 2,428 once invoked, about $0.0004 per session on Opus 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 2026-09-03.
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